#go #2fa #oauth #sso #tailscale #vpn #wireguard
Tailscale makes it easy to create private networks using WireGuard technology. It works on many platforms like Linux, Windows, macOS, and some versions of FreeBSD and OpenBSD. You can also use Tailscale on iOS and Android devices. The benefit is that you can securely connect your devices over the internet as if they were on the same local network, which is useful for remote work or accessing home devices from anywhere. This makes your data safer and easier to manage.
https://github.com/tailscale/tailscale
Tailscale makes it easy to create private networks using WireGuard technology. It works on many platforms like Linux, Windows, macOS, and some versions of FreeBSD and OpenBSD. You can also use Tailscale on iOS and Android devices. The benefit is that you can securely connect your devices over the internet as if they were on the same local network, which is useful for remote work or accessing home devices from anywhere. This makes your data safer and easier to manage.
https://github.com/tailscale/tailscale
GitHub
GitHub - tailscale/tailscale: The easiest, most secure way to use WireGuard and 2FA.
The easiest, most secure way to use WireGuard and 2FA. - tailscale/tailscale
#c_lang #auto_install #bootable_usb #bsd #chromeos #iso_files #legacy #linux #multiboot #persistence #secure_boot #uefi #unattended #unix #usb #windows
Ventoy is a free and easy-to-use tool that helps you create a bootable USB drive from ISO, WIM, IMG, VHD(x), and EFI files. You don't need to format the USB drive each time; just copy the image files and boot them. It supports many operating systems like Windows, Linux, ChromeOS, and more. Ventoy also allows you to browse and boot files from your local disk, and it works with various BIOS and UEFI systems. This makes it very convenient for testing or installing different operating systems without the hassle of constantly formatting your USB drive.
https://github.com/ventoy/Ventoy
Ventoy is a free and easy-to-use tool that helps you create a bootable USB drive from ISO, WIM, IMG, VHD(x), and EFI files. You don't need to format the USB drive each time; just copy the image files and boot them. It supports many operating systems like Windows, Linux, ChromeOS, and more. Ventoy also allows you to browse and boot files from your local disk, and it works with various BIOS and UEFI systems. This makes it very convenient for testing or installing different operating systems without the hassle of constantly formatting your USB drive.
https://github.com/ventoy/Ventoy
GitHub
GitHub - ventoy/Ventoy: A new bootable USB solution.
A new bootable USB solution. Contribute to ventoy/Ventoy development by creating an account on GitHub.
#cplusplus #appimage #emulator #enhancements #fast #hardware_renderers #jit_compiler #opengl #playstation #ps1 #psx #vulkan
DuckStation is a simulator for the Sony PlayStation 1 (PS1) console that lets you play PS1 games on your computer or other devices. It focuses on being fast, accurate, and easy to use, even on lower-end devices. You need a PS1 BIOS image to start it, which you can get from your own console.
Key features include:
- Support for various operating systems like Windows, Linux, and macOS.
- High-performance rendering with upscaling and texture filtering.
- Save state support and rewind functionality.
- Compatibility with different controller types and lightgun support.
- Automatic updates and content scanning.
To use it, download the latest build from GitHub, extract the files, and follow the setup wizard. This emulator is beneficial because it allows you to play classic PS1 games with enhanced graphics and performance on modern devices.
https://github.com/stenzek/duckstation
DuckStation is a simulator for the Sony PlayStation 1 (PS1) console that lets you play PS1 games on your computer or other devices. It focuses on being fast, accurate, and easy to use, even on lower-end devices. You need a PS1 BIOS image to start it, which you can get from your own console.
Key features include:
- Support for various operating systems like Windows, Linux, and macOS.
- High-performance rendering with upscaling and texture filtering.
- Save state support and rewind functionality.
- Compatibility with different controller types and lightgun support.
- Automatic updates and content scanning.
To use it, download the latest build from GitHub, extract the files, and follow the setup wizard. This emulator is beneficial because it allows you to play classic PS1 games with enhanced graphics and performance on modern devices.
https://github.com/stenzek/duckstation
GitHub
GitHub - stenzek/duckstation: Fast PlayStation 1 emulator for x86-64/AArch32/AArch64/RV64
Fast PlayStation 1 emulator for x86-64/AArch32/AArch64/RV64 - stenzek/duckstation
#rust #kakoune #rust #text_editor #vim
Helix is a text editor inspired by Kakoune and Neovim, written in Rust. It offers features like Vim-like modal editing, multiple selections, built-in language server support, and smart syntax highlighting. This editor is mainly for terminal use but may have a custom renderer in the future. It's easy to install and has detailed documentation and troubleshooting guides. Users benefit from its powerful editing capabilities, efficient syntax highlighting, and active community support, making it a versatile and user-friendly tool for coding.
https://github.com/helix-editor/helix
Helix is a text editor inspired by Kakoune and Neovim, written in Rust. It offers features like Vim-like modal editing, multiple selections, built-in language server support, and smart syntax highlighting. This editor is mainly for terminal use but may have a custom renderer in the future. It's easy to install and has detailed documentation and troubleshooting guides. Users benefit from its powerful editing capabilities, efficient syntax highlighting, and active community support, making it a versatile and user-friendly tool for coding.
https://github.com/helix-editor/helix
GitHub
GitHub - helix-editor/helix: A post-modern modal text editor.
A post-modern modal text editor. Contribute to helix-editor/helix development by creating an account on GitHub.
#python
This project helps you create explanatory math videos using the Manim library. It includes code and tools to make the process easier. You can use it to interact with your scenes in an interactive mode, similar to a debugger, and save specific states of your scenes for later use. By setting up keyboard shortcuts, you can quickly run commands to animate, record, or skip animations, making your workflow more efficient. This saves time and makes creating complex animations simpler.
https://github.com/3b1b/videos
This project helps you create explanatory math videos using the Manim library. It includes code and tools to make the process easier. You can use it to interact with your scenes in an interactive mode, similar to a debugger, and save specific states of your scenes for later use. By setting up keyboard shortcuts, you can quickly run commands to animate, record, or skip animations, making your workflow more efficient. This saves time and makes creating complex animations simpler.
https://github.com/3b1b/videos
GitHub
GitHub - 3b1b/videos: Code for the manim-generated scenes used in 3blue1brown videos
Code for the manim-generated scenes used in 3blue1brown videos - 3b1b/videos
#typescript #antv #dag #diagram #diagramming #erd #erdiagram #flowchart #graph #graph_editor #javascript #javascript_diagramming_library #svg #typescript #uml_diagram
X6 is a powerful graph editing engine from AntV that makes it easy to create flowcharts, DAG graphs, and ER diagrams. It offers simple and customizable node styles using SVG, HTML, React, Vue, or Angular, and comes with over 10 built-in extensions like box selection and mini maps. X6 is data-driven and event-driven, allowing you to focus on your data and business logic. It supports modern browsers and server-side rendering, making it versatile for various projects. This tool helps you build complex graphs quickly and efficiently, saving time and effort in your development process.
https://github.com/antvis/X6
X6 is a powerful graph editing engine from AntV that makes it easy to create flowcharts, DAG graphs, and ER diagrams. It offers simple and customizable node styles using SVG, HTML, React, Vue, or Angular, and comes with over 10 built-in extensions like box selection and mini maps. X6 is data-driven and event-driven, allowing you to focus on your data and business logic. It supports modern browsers and server-side rendering, making it versatile for various projects. This tool helps you build complex graphs quickly and efficiently, saving time and effort in your development process.
https://github.com/antvis/X6
GitHub
GitHub - antvis/X6: 🚀 JavaScript diagramming library that uses SVG and HTML for rendering.
🚀 JavaScript diagramming library that uses SVG and HTML for rendering. - antvis/X6
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#vue #actions #blog #blog_theme #deploy #javascript #markdown #theme #vue #vuepress #vuepress_blog #vuepress_plugin #vuepress_theme
This tool, called `vuepress-theme-vdoing`, helps you manage your knowledge easily. It lets you build a structured knowledge base that is clear and easy to read, like a book. You can also use it for blogging with customizable settings. The tool is simple and efficient, using Markdown and automated tools to make things easier. It also has quick indexing to find any piece of knowledge quickly.
Using this tool benefits you by organizing your knowledge in a neat and accessible way, making it easier to share and use your information.
https://github.com/xugaoyi/vuepress-theme-vdoing
This tool, called `vuepress-theme-vdoing`, helps you manage your knowledge easily. It lets you build a structured knowledge base that is clear and easy to read, like a book. You can also use it for blogging with customizable settings. The tool is simple and efficient, using Markdown and automated tools to make things easier. It also has quick indexing to find any piece of knowledge quickly.
Using this tool benefits you by organizing your knowledge in a neat and accessible way, making it easier to share and use your information.
https://github.com/xugaoyi/vuepress-theme-vdoing
GitHub
GitHub - xugaoyi/vuepress-theme-vdoing: 🚀一款简洁高效的VuePress知识管理&博客(blog)主题
🚀一款简洁高效的VuePress知识管理&博客(blog)主题. Contribute to xugaoyi/vuepress-theme-vdoing development by creating an account on GitHub.
❤1
#javascript #chatgpt #openai #wechat #wechatbot #wechaty
This WeChat Bot is a tool that helps you automatically reply to WeChat messages or manage your WeChat groups and friends. It uses AI services like ChatGPT and others, and you can set it up in just 2 minutes with 4 simple steps. You need to configure an AI service by getting an API key and adding it to a configuration file. Once set up, the bot can automatically respond to messages in groups or from friends on your whitelist. This saves you time and makes managing your WeChat interactions easier.
https://github.com/wangrongding/wechat-bot
This WeChat Bot is a tool that helps you automatically reply to WeChat messages or manage your WeChat groups and friends. It uses AI services like ChatGPT and others, and you can set it up in just 2 minutes with 4 simple steps. You need to configure an AI service by getting an API key and adding it to a configuration file. Once set up, the bot can automatically respond to messages in groups or from friends on your whitelist. This saves you time and makes managing your WeChat interactions easier.
https://github.com/wangrongding/wechat-bot
GitHub
GitHub - wangrongding/wechat-bot: 🤖一个基于 WeChaty 结合 DeepSeek / ChatGPT / Kimi / 讯飞等Ai服务实现的微信机器人 ,可以用来帮助你自动回复微信消息,或者管理微信群/好友,检测僵尸粉等...
🤖一个基于 WeChaty 结合 DeepSeek / ChatGPT / Kimi / 讯飞等Ai服务实现的微信机器人 ,可以用来帮助你自动回复微信消息,或者管理微信群/好友,检测僵尸粉等... - wangrongding/wechat-bot
#dockerfile #cheatsheet #docker #javascript #npm #npm_package #reactjs #references #semver #toml #typescript
This resource provides a comprehensive quick reference guide for developers, covering a wide range of programming languages, tools, and technologies. It includes cheat sheets for languages like Python, Java, C++, JavaScript, and many more, as well as tools such as Git, Docker, and various databases.
The benefit to the user is that it serves as a one-stop repository for quick references, saving time and effort in looking up syntax, commands, and best practices. Users can also contribute to the project by adding or improving existing cheat sheets, making it a collaborative and continuously updated resource. Additionally, there are several mirror sites available for users in China who may face accessibility issues with the main site.
https://github.com/jaywcjlove/reference
This resource provides a comprehensive quick reference guide for developers, covering a wide range of programming languages, tools, and technologies. It includes cheat sheets for languages like Python, Java, C++, JavaScript, and many more, as well as tools such as Git, Docker, and various databases.
The benefit to the user is that it serves as a one-stop repository for quick references, saving time and effort in looking up syntax, commands, and best practices. Users can also contribute to the project by adding or improving existing cheat sheets, making it a collaborative and continuously updated resource. Additionally, there are several mirror sites available for users in China who may face accessibility issues with the main site.
https://github.com/jaywcjlove/reference
GitHub
GitHub - jaywcjlove/reference: 为开发人员分享快速参考备忘清单(速查表)
为开发人员分享快速参考备忘清单(速查表). Contribute to jaywcjlove/reference development by creating an account on GitHub.
#c_lang #bpf #ebpf #examples #libbpf #tutorial #xdp
This tutorial helps you learn eBPF (Extended Berkeley Packet Filter) step by step with practical examples. It covers basic concepts, code examples in languages like C, Go, and Rust, and real-world applications in areas such as observability, networking, and security. The tutorial is designed to be easy to follow, starting with simple "Hello World" programs and progressing to more advanced topics. It also provides pre-configured GitHub templates to quickly set up and run eBPF projects, making it easier for developers to focus on coding without worrying about the setup. This makes learning and using eBPF much simpler and faster.
https://github.com/eunomia-bpf/bpf-developer-tutorial
This tutorial helps you learn eBPF (Extended Berkeley Packet Filter) step by step with practical examples. It covers basic concepts, code examples in languages like C, Go, and Rust, and real-world applications in areas such as observability, networking, and security. The tutorial is designed to be easy to follow, starting with simple "Hello World" programs and progressing to more advanced topics. It also provides pre-configured GitHub templates to quickly set up and run eBPF projects, making it easier for developers to focus on coding without worrying about the setup. This makes learning and using eBPF much simpler and faster.
https://github.com/eunomia-bpf/bpf-developer-tutorial
GitHub
GitHub - eunomia-bpf/bpf-developer-tutorial: eBPF Developer Tutorial: Learning eBPF Step by Step with Examples
eBPF Developer Tutorial: Learning eBPF Step by Step with Examples - eunomia-bpf/bpf-developer-tutorial
#swift #inference #ios #macos #pretrained_models #speech_recognition #swift #transformers #visionos #watchos #whisper
WhisperKit is a tool that helps your Apple devices recognize speech from audio files or live recordings using OpenAI's Whisper model. It works locally on your device, which means it doesn't need internet connection once set up. To use it, you can add WhisperKit to your Swift project easily through the Swift Package Manager or install a command-line version using Homebrew. This tool is beneficial because it allows you to transcribe audio quickly and efficiently right on your device, making it useful for various applications like voice assistants or transcription services.
https://github.com/argmaxinc/WhisperKit
WhisperKit is a tool that helps your Apple devices recognize speech from audio files or live recordings using OpenAI's Whisper model. It works locally on your device, which means it doesn't need internet connection once set up. To use it, you can add WhisperKit to your Swift project easily through the Swift Package Manager or install a command-line version using Homebrew. This tool is beneficial because it allows you to transcribe audio quickly and efficiently right on your device, making it useful for various applications like voice assistants or transcription services.
https://github.com/argmaxinc/WhisperKit
GitHub
GitHub - argmaxinc/WhisperKit: On-device Speech Recognition for Apple Silicon
On-device Speech Recognition for Apple Silicon. Contribute to argmaxinc/WhisperKit development by creating an account on GitHub.
#cplusplus #bson #cbor #header_only #json #json_diff #json_merge_patch #json_parser #json_patch #json_pointer #json_serialization #messagepack #msgpack #rfc_6901 #rfc_6902 #rfc_7049 #rfc_7159 #rfc_8259 #stl_containers #ubjson
This library, called "JSON for Modern C++," provides a simple and intuitive way to work with JSON data in C++ programs. Here are the key benefits and features The library uses modern C++ features to make working with JSON feel natural, similar to how JSON is handled in languages like Python.
- **Trivial Integration** The library is heavily unit-tested, covering 100% of the code, including exceptional behavior, and uses tools like Valgrind and Clang Sanitizers to ensure no memory leaks.
### Key Features
- **STL-like Access** You can convert various STL containers (like `std: Support for JSON Pointer and JSON Patch (RFC 6901 and RFC 6902) for addressing and modifying parts of a JSON document.
- **Binary Formats** You can serialize and deserialize custom types using simple macros or functions.
- **Error Handling** Simple and intuitive API makes it easy to read, write, and manipulate JSON data.
- **Highly Tested** Supports various data formats and custom types, making it versatile for different use cases.
- **Efficient**: Optimized for performance, especially with binary formats.
Overall, this library simplifies working with JSON in C++ while providing robust features and reliable performance.
https://github.com/nlohmann/json
This library, called "JSON for Modern C++," provides a simple and intuitive way to work with JSON data in C++ programs. Here are the key benefits and features The library uses modern C++ features to make working with JSON feel natural, similar to how JSON is handled in languages like Python.
- **Trivial Integration** The library is heavily unit-tested, covering 100% of the code, including exceptional behavior, and uses tools like Valgrind and Clang Sanitizers to ensure no memory leaks.
### Key Features
- **STL-like Access** You can convert various STL containers (like `std: Support for JSON Pointer and JSON Patch (RFC 6901 and RFC 6902) for addressing and modifying parts of a JSON document.
- **Binary Formats** You can serialize and deserialize custom types using simple macros or functions.
- **Error Handling** Simple and intuitive API makes it easy to read, write, and manipulate JSON data.
- **Highly Tested** Supports various data formats and custom types, making it versatile for different use cases.
- **Efficient**: Optimized for performance, especially with binary formats.
Overall, this library simplifies working with JSON in C++ while providing robust features and reliable performance.
https://github.com/nlohmann/json
GitHub
GitHub - nlohmann/json: JSON for Modern C++
JSON for Modern C++. Contribute to nlohmann/json development by creating an account on GitHub.
❤1
#go #awesome #awesome_list #go #golang #golang_library #hacktoberfest
The "Awesome Go" list is a comprehensive resource for Go developers, providing a curated collection of libraries, tools, and resources. Here are the key benefits The list includes a wide range of libraries categorized by their functionality, such as actor model, artificial intelligence, audio and music, authentication and OAuth, blockchain, bot building, build automation, command line, configuration, continuous integration, CSS preprocessors, data integration frameworks, data structures and algorithms, databases, database drivers, date and time, distributed systems, dynamic DNS, email, embeddable scripting languages, error handling, file handling, financial, forms, functional programming, game development, generators, geographic, Go compilers, goroutines, GUI, hardware, images, IoT (Internet of Things), job scheduler, JSON, logging, machine learning, messaging, Microsoft Office, networking, OpenGL, ORM (Object Relational Mapping), package management, performance, query language, reflection, resource embedding, science and data analysis, security, serialization, server applications, stream processing, template engines, testing, text processing, third-party APIs, utilities, UUID (Universally Unique Identifier), validation, version control, video, web frameworks, web assembly, windows, XML, zero trust, code analysis, editor plugins, go generate tools, go tools, software packages, devops tools, other software, benchmarks, conferences, e-books, gophers, meetups, style guides, social media, websites, tutorials, guided learning.
**Key Features** Covers various aspects like actor model, artificial intelligence, audio and music, authentication and OAuth, blockchain, bot building, build automation, command line tools, configuration, continuous integration, CSS preprocessors, data integration frameworks, data structures and algorithms, databases, database drivers, date and time handling, distributed systems, dynamic DNS, email tools, embeddable scripting languages, error handling mechanisms, file handling utilities, financial libraries, form processing tools, functional programming helpers, game development frameworks, generators for code generation, geographic tools, Go compilers and tools, goroutine management tools, GUI libraries, hardware interaction tools, image manipulation libraries, IoT tools, job schedulers, JSON parsing and generating tools, logging libraries, machine learning frameworks, messaging tools, Microsoft Office integrations, networking libraries, OpenGL bindings, ORM tools, package management tools, performance optimization tools, query language tools, reflection tools, resource embedding tools, science and data analysis libraries, security tools, serialization tools, server applications frameworks, stream
https://github.com/avelino/awesome-go
The "Awesome Go" list is a comprehensive resource for Go developers, providing a curated collection of libraries, tools, and resources. Here are the key benefits The list includes a wide range of libraries categorized by their functionality, such as actor model, artificial intelligence, audio and music, authentication and OAuth, blockchain, bot building, build automation, command line, configuration, continuous integration, CSS preprocessors, data integration frameworks, data structures and algorithms, databases, database drivers, date and time, distributed systems, dynamic DNS, email, embeddable scripting languages, error handling, file handling, financial, forms, functional programming, game development, generators, geographic, Go compilers, goroutines, GUI, hardware, images, IoT (Internet of Things), job scheduler, JSON, logging, machine learning, messaging, Microsoft Office, networking, OpenGL, ORM (Object Relational Mapping), package management, performance, query language, reflection, resource embedding, science and data analysis, security, serialization, server applications, stream processing, template engines, testing, text processing, third-party APIs, utilities, UUID (Universally Unique Identifier), validation, version control, video, web frameworks, web assembly, windows, XML, zero trust, code analysis, editor plugins, go generate tools, go tools, software packages, devops tools, other software, benchmarks, conferences, e-books, gophers, meetups, style guides, social media, websites, tutorials, guided learning.
**Key Features** Covers various aspects like actor model, artificial intelligence, audio and music, authentication and OAuth, blockchain, bot building, build automation, command line tools, configuration, continuous integration, CSS preprocessors, data integration frameworks, data structures and algorithms, databases, database drivers, date and time handling, distributed systems, dynamic DNS, email tools, embeddable scripting languages, error handling mechanisms, file handling utilities, financial libraries, form processing tools, functional programming helpers, game development frameworks, generators for code generation, geographic tools, Go compilers and tools, goroutine management tools, GUI libraries, hardware interaction tools, image manipulation libraries, IoT tools, job schedulers, JSON parsing and generating tools, logging libraries, machine learning frameworks, messaging tools, Microsoft Office integrations, networking libraries, OpenGL bindings, ORM tools, package management tools, performance optimization tools, query language tools, reflection tools, resource embedding tools, science and data analysis libraries, security tools, serialization tools, server applications frameworks, stream
https://github.com/avelino/awesome-go
GitHub
GitHub - avelino/awesome-go: A curated list of awesome Go frameworks, libraries and software
A curated list of awesome Go frameworks, libraries and software - avelino/awesome-go
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#python #bert #deep_learning #flax #hacktoberfest #jax #language_model #language_models #machine_learning #model_hub #natural_language_processing #nlp #nlp_library #pretrained_models #python #pytorch #pytorch_transformers #seq2seq #speech_recognition #tensorflow #transformer
The Hugging Face Transformers library provides thousands of pretrained models for various tasks like text, image, and audio processing. These models can be used for tasks such as text classification, image detection, speech recognition, and more. The library supports popular deep learning frameworks like JAX, PyTorch, and TensorFlow, making it easy to switch between them.
The benefit to the user is that you can quickly download and use these pretrained models with just a few lines of code, saving time and computational resources. You can also fine-tune these models on your own datasets and share them with the community. Additionally, the library offers a simple `pipeline` API for immediate use on different inputs, making it user-friendly for both researchers and practitioners. This helps in reducing compute costs and carbon footprint while enabling high-performance results across various machine learning tasks.
https://github.com/huggingface/transformers
The Hugging Face Transformers library provides thousands of pretrained models for various tasks like text, image, and audio processing. These models can be used for tasks such as text classification, image detection, speech recognition, and more. The library supports popular deep learning frameworks like JAX, PyTorch, and TensorFlow, making it easy to switch between them.
The benefit to the user is that you can quickly download and use these pretrained models with just a few lines of code, saving time and computational resources. You can also fine-tune these models on your own datasets and share them with the community. Additionally, the library offers a simple `pipeline` API for immediate use on different inputs, making it user-friendly for both researchers and practitioners. This helps in reducing compute costs and carbon footprint while enabling high-performance results across various machine learning tasks.
https://github.com/huggingface/transformers
GitHub
GitHub - huggingface/transformers: 🤗 Transformers: the model-definition framework for state-of-the-art machine learning models…
🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training. - GitHub - huggingface/t...
#jupyter_notebook #computer_vision #deep_learning #drug_discovery #forecasting #large_language_models #mxnet #nlp #paddlepaddle #pytorch #recommender_systems #speech_recognition #speech_synthesis #tensorflow #tensorflow2 #translation
This repository provides top-quality deep learning examples that are easy to train and deploy on NVIDIA GPUs. It includes a wide range of models for computer vision, natural language processing, recommender systems, speech to text, and more. These examples are updated monthly and come in Docker containers with the latest NVIDIA software, ensuring the best performance. The models support multiple GPUs and nodes, and some are optimized for Tensor Cores, which can significantly speed up training. This makes it easier for users to achieve high accuracy and performance in their deep learning projects.
https://github.com/NVIDIA/DeepLearningExamples
This repository provides top-quality deep learning examples that are easy to train and deploy on NVIDIA GPUs. It includes a wide range of models for computer vision, natural language processing, recommender systems, speech to text, and more. These examples are updated monthly and come in Docker containers with the latest NVIDIA software, ensuring the best performance. The models support multiple GPUs and nodes, and some are optimized for Tensor Cores, which can significantly speed up training. This makes it easier for users to achieve high accuracy and performance in their deep learning projects.
https://github.com/NVIDIA/DeepLearningExamples
GitHub
GitHub - NVIDIA/DeepLearningExamples: State-of-the-Art Deep Learning scripts organized by models - easy to train and deploy with…
State-of-the-Art Deep Learning scripts organized by models - easy to train and deploy with reproducible accuracy and performance on enterprise-grade infrastructure. - NVIDIA/DeepLearningExamples
#jinja #ansible #calico #cilium #docker #etcd #flannel #k8s #kubeasz #kubernetes
**kubeasz** is a tool that helps you quickly set up a highly available Kubernetes (k8s) cluster. It uses binary deployment and Ansible playbooks for automation, offering both one-click installation scripts and step-by-step guides. You can customize almost any parameter of the cluster components and use pre-set default configurations for large-scale clusters.
The benefits include:
- High availability for master nodes
- Support for multiple architectures (amd64/arm64)
- Offline installation option
- Compatibility with various Linux distributions
- Automated network setup with options like Calico, Cilium, and more
- Easy management and upgrade of the cluster
This makes it easier to deploy and manage Kubernetes clusters efficiently.
https://github.com/easzlab/kubeasz
**kubeasz** is a tool that helps you quickly set up a highly available Kubernetes (k8s) cluster. It uses binary deployment and Ansible playbooks for automation, offering both one-click installation scripts and step-by-step guides. You can customize almost any parameter of the cluster components and use pre-set default configurations for large-scale clusters.
The benefits include:
- High availability for master nodes
- Support for multiple architectures (amd64/arm64)
- Offline installation option
- Compatibility with various Linux distributions
- Automated network setup with options like Calico, Cilium, and more
- Easy management and upgrade of the cluster
This makes it easier to deploy and manage Kubernetes clusters efficiently.
https://github.com/easzlab/kubeasz
GitHub
GitHub - easzlab/kubeasz: 使用Ansible脚本安装K8S集群,介绍组件交互原理,方便直接,不受国内网络环境影响
使用Ansible脚本安装K8S集群,介绍组件交互原理,方便直接,不受国内网络环境影响. Contribute to easzlab/kubeasz development by creating an account on GitHub.
#python #altcoin #api #arbitrage #bitcoin #bot #btc #crypto #cryptocurrencies #cryptocurrency #e_commerce #eth #ethereum #exchange #invest #library #market_data #merchant #strategy #trade #trading
The CCXT library is a powerful tool for cryptocurrency trading and e-commerce, supporting over 100 cryptocurrency exchanges. Here’s what you need to know CCXT works with JavaScript, Python, PHP, and C#.
- **Exchange Coverage** Provides access to both public and private APIs, allowing you to fetch market data, trade, manage accounts, and more.
- **Unified API** Ideal for coders, developers, technically-skilled traders, data scientists, and financial analysts to build trading algorithms and strategies.
- **Benefits** Easy to install via package managers like NPM, PyPI, Packagist/Composer, and Nuget.
- **Documentation**: Comprehensive documentation and examples are available to help you get started quickly.
Using CCXT can significantly streamline your cryptocurrency trading and analysis tasks, making it a valuable resource for anyone involved in the crypto space.
https://github.com/ccxt/ccxt
The CCXT library is a powerful tool for cryptocurrency trading and e-commerce, supporting over 100 cryptocurrency exchanges. Here’s what you need to know CCXT works with JavaScript, Python, PHP, and C#.
- **Exchange Coverage** Provides access to both public and private APIs, allowing you to fetch market data, trade, manage accounts, and more.
- **Unified API** Ideal for coders, developers, technically-skilled traders, data scientists, and financial analysts to build trading algorithms and strategies.
- **Benefits** Easy to install via package managers like NPM, PyPI, Packagist/Composer, and Nuget.
- **Documentation**: Comprehensive documentation and examples are available to help you get started quickly.
Using CCXT can significantly streamline your cryptocurrency trading and analysis tasks, making it a valuable resource for anyone involved in the crypto space.
https://github.com/ccxt/ccxt
GitHub
GitHub - ccxt/ccxt: A cryptocurrency trading API with more than 100 exchanges in JavaScript / TypeScript / Python / C# / PHP /…
A cryptocurrency trading API with more than 100 exchanges in JavaScript / TypeScript / Python / C# / PHP / Go - GitHub - ccxt/ccxt: A cryptocurrency trading API with more than 100 exchanges in Jav...
#typescript #apis #automated #automation #cli #data_flow #development #docker #integration_framework #integrations #ipaas #low_code #low_code_development_platform #low_code_platform #n8n #no_code #node #self_hosted #typescript #workflow #workflow_automation
n8n is a powerful tool for automating workflows. It allows you to connect different services and apps using over 200 nodes, making it highly versatile. You can customize it with your own functions and logic, and it's open-source, so you can see and modify the code. n8n also offers a cloud version that simplifies setup and maintenance. The benefit to you is that it saves time by automating repetitive tasks, and its flexibility lets you integrate various tools and services easily. You can start using it quickly without installation by running a simple command in your terminal.
https://github.com/n8n-io/n8n
n8n is a powerful tool for automating workflows. It allows you to connect different services and apps using over 200 nodes, making it highly versatile. You can customize it with your own functions and logic, and it's open-source, so you can see and modify the code. n8n also offers a cloud version that simplifies setup and maintenance. The benefit to you is that it saves time by automating repetitive tasks, and its flexibility lets you integrate various tools and services easily. You can start using it quickly without installation by running a simple command in your terminal.
https://github.com/n8n-io/n8n
GitHub
GitHub - n8n-io/n8n: Fair-code workflow automation platform with native AI capabilities. Combine visual building with custom code…
Fair-code workflow automation platform with native AI capabilities. Combine visual building with custom code, self-host or cloud, 400+ integrations. - n8n-io/n8n
#shell #container #docker #docker_osx #kvm #macos #os #osx #osx_kvm #x #x11
You can run Mac OS X in a Docker container with near-native performance using Docker-OSX. Here are the key benefits and how to get started Run Mac OS X with performance close to native hardware.
- **X11 Forwarding** Enable iMessage and iCloud for security research by generating unique serial numbers.
- **iPhone USB Passthrough** Supports various macOS versions including Catalina, Big Sur, Monterey, Ventura, and more.
- **SSH and VNC Access** Share folders between the host and the container.
To get started, ensure your system supports hardware virtualization, install QEMU and Docker, and then run the Docker container using commands like10022 \
-v /tmp/.X11-unix-latest
```
You can also join the Discord server for support and more detailed instructions. This setup allows you to run macOS in a container, which is useful for development, security research, and other purposes.
https://github.com/sickcodes/Docker-OSX
You can run Mac OS X in a Docker container with near-native performance using Docker-OSX. Here are the key benefits and how to get started Run Mac OS X with performance close to native hardware.
- **X11 Forwarding** Enable iMessage and iCloud for security research by generating unique serial numbers.
- **iPhone USB Passthrough** Supports various macOS versions including Catalina, Big Sur, Monterey, Ventura, and more.
- **SSH and VNC Access** Share folders between the host and the container.
To get started, ensure your system supports hardware virtualization, install QEMU and Docker, and then run the Docker container using commands like10022 \
-v /tmp/.X11-unix-latest
```
You can also join the Discord server for support and more detailed instructions. This setup allows you to run macOS in a container, which is useful for development, security research, and other purposes.
https://github.com/sickcodes/Docker-OSX
GitHub
GitHub - sickcodes/Docker-OSX: Run macOS VM in a Docker! Run near native OSX-KVM in Docker! X11 Forwarding! CI/CD for OS X Security…
Run macOS VM in a Docker! Run near native OSX-KVM in Docker! X11 Forwarding! CI/CD for OS X Security Research! Docker mac Containers. - sickcodes/Docker-OSX
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#go #github #github_api #go #golang #hacktoberfest
The `go-github` library is a tool for accessing the GitHub API using the Go programming language. It allows you to interact with GitHub's API to perform various tasks such as listing organizations, repositories, and issues, as well as creating and updating resources. To use it, you need Go version 1.17 or later. You can install it with `go get github.com/google/go-github/v66`.
The library supports authentication using OAuth tokens and HTTP Basic Authentication, making it secure for different use cases. It also handles rate limiting and pagination, helping you manage API requests efficiently. Additionally, it provides support for conditional requests and webhooks, making it versatile for different applications.
Using `go-github` simplifies interacting with the GitHub API, allowing you to focus on your project's logic rather than dealing with the complexities of API calls. This makes it a valuable tool for developers working with GitHub integrations.
https://github.com/google/go-github
The `go-github` library is a tool for accessing the GitHub API using the Go programming language. It allows you to interact with GitHub's API to perform various tasks such as listing organizations, repositories, and issues, as well as creating and updating resources. To use it, you need Go version 1.17 or later. You can install it with `go get github.com/google/go-github/v66`.
The library supports authentication using OAuth tokens and HTTP Basic Authentication, making it secure for different use cases. It also handles rate limiting and pagination, helping you manage API requests efficiently. Additionally, it provides support for conditional requests and webhooks, making it versatile for different applications.
Using `go-github` simplifies interacting with the GitHub API, allowing you to focus on your project's logic rather than dealing with the complexities of API calls. This makes it a valuable tool for developers working with GitHub integrations.
https://github.com/google/go-github
#swift #cache #filters #image #image_processor #ios #kingfisher #macos #swift #xcode
Kingfisher is a powerful library for downloading and caching images in your apps. It helps you load images from the web quickly and efficiently. Here are the key benefits:
- It downloads images asynchronously and caches them for faster access later.
- You can customize how images are processed, such as resizing or adding effects.
- It supports both UIKit and SwiftUI, making it versatile for different types of apps.
- It includes features like placeholders, indicators, and transition animations while loading images.
- You can control cache behavior, including expiration dates and size limits.
Using Kingfisher simplifies your code and improves your app's performance when handling images. For example, you can set an image to an `UIImageView` with just a few lines of code, and it will handle the downloading and caching automatically. This makes your app run smoother and saves you time in development.
https://github.com/onevcat/Kingfisher
Kingfisher is a powerful library for downloading and caching images in your apps. It helps you load images from the web quickly and efficiently. Here are the key benefits:
- It downloads images asynchronously and caches them for faster access later.
- You can customize how images are processed, such as resizing or adding effects.
- It supports both UIKit and SwiftUI, making it versatile for different types of apps.
- It includes features like placeholders, indicators, and transition animations while loading images.
- You can control cache behavior, including expiration dates and size limits.
Using Kingfisher simplifies your code and improves your app's performance when handling images. For example, you can set an image to an `UIImageView` with just a few lines of code, and it will handle the downloading and caching automatically. This makes your app run smoother and saves you time in development.
https://github.com/onevcat/Kingfisher
GitHub
GitHub - onevcat/Kingfisher: A lightweight, pure-Swift library for downloading and caching images from the web.
A lightweight, pure-Swift library for downloading and caching images from the web. - onevcat/Kingfisher
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