#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

#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

#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

#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

#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

#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

#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

#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

#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

#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

#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

#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

#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

#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

#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

#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

#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

#typescript #astro #blog #browser #components #hybrid #islands #node #server #static #static_site_generator #universal

Astro is a tool to help you build websites easily and efficiently. It offers a powerful developer experience while keeping the output lightweight, meaning your website will load quickly. You can install Astro using simple commands like `npm create astro@latest` or `npm install --save-dev astro`. There are also many resources available, such as a Getting Started guide, starter projects, and official documentation. If you need help, you can join the Astro Discord community. This tool supports various integrations with popular frameworks like React, Vue, and Svelte, making it versatile for different needs. Using Astro can make building and maintaining your website much easier and faster.

https://github.com/withastro/astro

#go #k8s_sig_api_machinery

The Kubernetes controller-runtime project provides a set of Go libraries to help you build controllers for Kubernetes. It is used by tools like Kubebuilder and Operator SDK, which are great for starting new projects. This project follows semantic versioning, ensuring compatible code releases. You can find detailed documentation and examples to help you get started. The benefit to you is that it makes building and managing Kubernetes controllers easier and more reliable, with clear guidelines for contributions and compatibility.

https://github.com/kubernetes-sigs/controller-runtime

#swift #ai #android #barcode #camera #instagram #ios #javascript #jsi #library #native #qr #qrcode #react #react_native #react_native_camera #scanner #snapchat #typescript #vision #worklet

VisionCamera is a powerful camera library for React Native that offers many useful features. You can capture photos and videos, scan QR codes and barcodes, use multiple cameras, and adjust resolutions and frame rates. It also supports advanced features like facial recognition, object detection, and real-time video chats through frame processors. Additionally, you can draw shapes, text, and filters on the camera view, and it includes smooth zooming, fast pause and resume, HDR and night modes, and a custom video pipeline. Installing it is easy with npm, and there are detailed guides and examples to help you get started. Using VisionCamera can enhance your app's camera capabilities significantly.

https://github.com/mrousavy/react-native-vision-camera

#python #age_prediction #arcface #deep_learning #deepface #deepid #emotion_recognition #face_analysis #face_recognition #facenet #facial_expression_recognition #facial_recognition #gender_prediction #machine_learning #openface #python #race_classification #vgg_face

DeepFace is a powerful tool for face recognition and facial attribute analysis. It allows you to recognize faces, predict age, gender, emotions, and race, and even detect whether an image is real or fake. You can install it easily using `pip install deepface` and use simple functions like `DeepFace.verify` for face verification, `DeepFace.find` for face recognition, and `DeepFace.analyze` for facial attribute analysis. DeepFace wraps several state-of-the-art models, making it highly accurate and versatile. It also supports real-time video analysis and can be integrated with various detectors and alignment methods. This tool simplifies complex face recognition tasks, making it easy to use without needing deep knowledge of the underlying processes.

https://github.com/serengil/deepface