#zig
Ghostty is a fast, feature-rich terminal emulator that combines speed, native platform integration, and modern features without compromise. It supports multi-window, tabs, and split panes, with GPU-accelerated rendering using Metal on macOS and OpenGL on Linux for smooth performance. Ghostty is highly compatible with existing shells and software, making it a drop-in replacement. It offers rich theming, ligature support, and advanced developer features that enable more interactive command-line applications. Its native UI and cross-platform design provide a polished, efficient terminal experience that enhances productivity and usability for both users and developers.
https://github.com/ghostty-org/ghostty
Ghostty is a fast, feature-rich terminal emulator that combines speed, native platform integration, and modern features without compromise. It supports multi-window, tabs, and split panes, with GPU-accelerated rendering using Metal on macOS and OpenGL on Linux for smooth performance. Ghostty is highly compatible with existing shells and software, making it a drop-in replacement. It offers rich theming, ligature support, and advanced developer features that enable more interactive command-line applications. Its native UI and cross-platform design provide a polished, efficient terminal experience that enhances productivity and usability for both users and developers.
https://github.com/ghostty-org/ghostty
GitHub
GitHub - ghostty-org/ghostty: 👻 Ghostty is a fast, feature-rich, and cross-platform terminal emulator that uses platform-native…
👻 Ghostty is a fast, feature-rich, and cross-platform terminal emulator that uses platform-native UI and GPU acceleration. - ghostty-org/ghostty
❤1
#c_lang
SpaghettiKart is an unofficial PC port of Mario Kart 64 that runs smoothly on Windows, Linux, and even Nintendo Switch, offering better performance and online multiplayer, which the original N64 version lacked. You need a legal US ROM in .z64 format to use it, as the game itself doesn’t include any copyrighted assets. It supports custom mods and different graphics backends for better visuals and stability. This means you can enjoy Mario Kart 64 with improved graphics, online play, and modding options on modern devices, making the classic game more accessible and fun today[2][4].
https://github.com/HarbourMasters/SpaghettiKart
SpaghettiKart is an unofficial PC port of Mario Kart 64 that runs smoothly on Windows, Linux, and even Nintendo Switch, offering better performance and online multiplayer, which the original N64 version lacked. You need a legal US ROM in .z64 format to use it, as the game itself doesn’t include any copyrighted assets. It supports custom mods and different graphics backends for better visuals and stability. This means you can enjoy Mario Kart 64 with improved graphics, online play, and modding options on modern devices, making the classic game more accessible and fun today[2][4].
https://github.com/HarbourMasters/SpaghettiKart
GitHub
GitHub - HarbourMasters/SpaghettiKart
Contribute to HarbourMasters/SpaghettiKart development by creating an account on GitHub.
❤1
#cplusplus
The LEGO Island portable project recreates the original LEGO Island game (version 1.1, English) so it can run on many platforms like Windows, Linux, macOS, and even the web, without changing the gameplay or adding new features. It replaces Windows-only parts with cross-platform libraries like SDL3 to make the game work smoothly on different systems. You need an original copy of LEGO Island to use it, and while developer builds exist, user-friendly versions are still being made. This means you can enjoy the classic LEGO Island game on modern devices and operating systems that it wasn’t originally designed for, preserving the nostalgic experience across platforms[2].
https://github.com/isledecomp/isle-portable
The LEGO Island portable project recreates the original LEGO Island game (version 1.1, English) so it can run on many platforms like Windows, Linux, macOS, and even the web, without changing the gameplay or adding new features. It replaces Windows-only parts with cross-platform libraries like SDL3 to make the game work smoothly on different systems. You need an original copy of LEGO Island to use it, and while developer builds exist, user-friendly versions are still being made. This means you can enjoy the classic LEGO Island game on modern devices and operating systems that it wasn’t originally designed for, preserving the nostalgic experience across platforms[2].
https://github.com/isledecomp/isle-portable
GitHub
GitHub - isledecomp/isle-portable: A portable version of LEGO Island (1997)
A portable version of LEGO Island (1997). Contribute to isledecomp/isle-portable development by creating an account on GitHub.
#other #ai #bolt #copilot #cursor #cursorai #devin #devinai #github_copilot #lovable #open_source #replit #system_prompts #trae #trae_ai #trae_ide #v0 #vscode #windsurf #windsurf_ai
You can access a huge collection of over 7000 lines of official system prompts and internal tools from many AI models and agents like v0, Manus, Cursor, Replit Agent, and more. These prompts guide AI to work better by giving clear instructions, which helps the AI give more accurate and useful answers. Using these prompts can save you time, improve AI performance, and make your interactions with AI smoother and more productive. Plus, there’s a free AI security audit service to help protect your AI systems from leaks and hacks, keeping your data safe. Supporting this project helps keep these valuable resources updated.
https://github.com/x1xhlol/system-prompts-and-models-of-ai-tools
You can access a huge collection of over 7000 lines of official system prompts and internal tools from many AI models and agents like v0, Manus, Cursor, Replit Agent, and more. These prompts guide AI to work better by giving clear instructions, which helps the AI give more accurate and useful answers. Using these prompts can save you time, improve AI performance, and make your interactions with AI smoother and more productive. Plus, there’s a free AI security audit service to help protect your AI systems from leaks and hacks, keeping your data safe. Supporting this project helps keep these valuable resources updated.
https://github.com/x1xhlol/system-prompts-and-models-of-ai-tools
GitHub
GitHub - x1xhlol/system-prompts-and-models-of-ai-tools: FULL Augment Code, Claude Code, Cluely, CodeBuddy, Comet, Cursor, Devin…
FULL Augment Code, Claude Code, Cluely, CodeBuddy, Comet, Cursor, Devin AI, Junie, Kiro, Leap.new, Lovable, Manus, NotionAI, Orchids.app, Perplexity, Poke, Qoder, Replit, Same.dev, Trae, Traycer AI...
#typescript #cli #clustering #concurrency #dependency_injection #effect #error_handling #javascript #observability #opentelemetry #platform #schema #typescript #workflows
Effect is a powerful TypeScript framework that helps you build reliable and complex applications by managing side effects like logging, network calls, and database operations in a safe and organized way. It uses a core `Effect` type to describe workflows that are lazy, composable, and type-safe, allowing you to handle errors and dependencies explicitly. The framework is modular, with many packages for AI, CLI tools, distributed computing, SQL databases, and more, making it flexible for various needs. Using Effect improves code quality, concurrency handling, and maintainability, helping you write robust TypeScript apps efficiently[1][2][4][5].
https://github.com/Effect-TS/effect
Effect is a powerful TypeScript framework that helps you build reliable and complex applications by managing side effects like logging, network calls, and database operations in a safe and organized way. It uses a core `Effect` type to describe workflows that are lazy, composable, and type-safe, allowing you to handle errors and dependencies explicitly. The framework is modular, with many packages for AI, CLI tools, distributed computing, SQL databases, and more, making it flexible for various needs. Using Effect improves code quality, concurrency handling, and maintainability, helping you write robust TypeScript apps efficiently[1][2][4][5].
https://github.com/Effect-TS/effect
GitHub
GitHub - Effect-TS/effect: Build production-ready applications in TypeScript
Build production-ready applications in TypeScript. Contribute to Effect-TS/effect development by creating an account on GitHub.
#java #gale #java #keyi #minecraft #minecraft_performance #minecraft_server_software #mirai #paper
Leaf is a high-performance, customizable Minecraft server software based on Paper, designed to improve game speed and flexibility. It supports asynchronous pathfinding, mob spawning, and entity tracking, making gameplay smoother. Leaf is compatible with Spigot and Paper plugins, supports all username characters, fixes some Minecraft bugs, and uses a disk-saving file format. It integrates error tracking for easier server maintenance and keeps dependencies up-to-date. This means you get a faster, more stable Minecraft server with better plugin support and easier management, enhancing your overall gaming experience. Java 21 or higher is required to run it.
https://github.com/Winds-Studio/Leaf
Leaf is a high-performance, customizable Minecraft server software based on Paper, designed to improve game speed and flexibility. It supports asynchronous pathfinding, mob spawning, and entity tracking, making gameplay smoother. Leaf is compatible with Spigot and Paper plugins, supports all username characters, fixes some Minecraft bugs, and uses a disk-saving file format. It integrates error tracking for easier server maintenance and keeps dependencies up-to-date. This means you get a faster, more stable Minecraft server with better plugin support and easier management, enhancing your overall gaming experience. Java 21 or higher is required to run it.
https://github.com/Winds-Studio/Leaf
GitHub
GitHub - Winds-Studio/Leaf: A Paper fork, focused on finding balance between performance, vanilla behavior and stability
A Paper fork, focused on finding balance between performance, vanilla behavior and stability - Winds-Studio/Leaf
#typescript
Claude Code Router lets you easily manage and switch between different AI models for coding tasks, improving flexibility and efficiency. You install it alongside Claude Code, then configure it to route requests to models best suited for background tasks, reasoning, or handling long contexts. You can also customize it with plugins to enhance functionality, like better tool usage or filtering notebook-related calls. It supports GitHub Actions, enabling automated coding workflows and cost savings by running tasks during cheaper API hours. This setup helps you get more accurate, cost-effective coding assistance tailored to your needs.
https://github.com/musistudio/claude-code-router
Claude Code Router lets you easily manage and switch between different AI models for coding tasks, improving flexibility and efficiency. You install it alongside Claude Code, then configure it to route requests to models best suited for background tasks, reasoning, or handling long contexts. You can also customize it with plugins to enhance functionality, like better tool usage or filtering notebook-related calls. It supports GitHub Actions, enabling automated coding workflows and cost savings by running tasks during cheaper API hours. This setup helps you get more accurate, cost-effective coding assistance tailored to your needs.
https://github.com/musistudio/claude-code-router
GitHub
GitHub - musistudio/claude-code-router: Use Claude Code as the foundation for coding infrastructure, allowing you to decide how…
Use Claude Code as the foundation for coding infrastructure, allowing you to decide how to interact with the model while enjoying updates from Anthropic. - musistudio/claude-code-router
#typescript #codemirror #graphiql #graphql #lsp_mode #lsp_server #monaco_editor #vscode
GraphiQL is a powerful, open-source GraphQL IDE that helps you write, test, and explore GraphQL queries easily in your browser or desktop. It offers features like syntax highlighting, live error checking, and schema exploration, making it simpler to work with GraphQL APIs. The project is part of a monorepo that includes tools for different editors like CodeMirror and Monaco, providing a consistent and extensible development experience. Using this monorepo setup improves collaboration, code sharing, and maintenance across related tools, saving you time and effort when building or extending GraphQL IDEs. This means you get a reliable, efficient environment to develop GraphQL applications faster and with fewer errors.
https://github.com/graphql/graphiql
GraphiQL is a powerful, open-source GraphQL IDE that helps you write, test, and explore GraphQL queries easily in your browser or desktop. It offers features like syntax highlighting, live error checking, and schema exploration, making it simpler to work with GraphQL APIs. The project is part of a monorepo that includes tools for different editors like CodeMirror and Monaco, providing a consistent and extensible development experience. Using this monorepo setup improves collaboration, code sharing, and maintenance across related tools, saving you time and effort when building or extending GraphQL IDEs. This means you get a reliable, efficient environment to develop GraphQL applications faster and with fewer errors.
https://github.com/graphql/graphiql
GitHub
GitHub - graphql/graphiql: GraphiQL & the GraphQL LSP Reference Ecosystem for building browser & IDE tools.
GraphiQL & the GraphQL LSP Reference Ecosystem for building browser & IDE tools. - graphql/graphiql
#other #automl #chatgpt #data_analysis #data_science #data_visualization #data_visualizations #deep_learning #gpt #gpt_3 #jax #keras #machine_learning #ml #nlp #python #pytorch #scikit_learn #tensorflow #transformer
This is a comprehensive, regularly updated list of 920 top open-source Python machine learning libraries, organized into 34 categories like frameworks, data visualization, NLP, image processing, and more. Each project is ranked by quality using GitHub and package manager metrics, helping you find the best tools for your needs. Popular libraries like TensorFlow, PyTorch, scikit-learn, and Hugging Face transformers are included, along with specialized ones for time series, reinforcement learning, and model interpretability. This resource saves you time by guiding you to high-quality, actively maintained libraries for building, optimizing, and deploying machine learning models efficiently.
https://github.com/ml-tooling/best-of-ml-python
This is a comprehensive, regularly updated list of 920 top open-source Python machine learning libraries, organized into 34 categories like frameworks, data visualization, NLP, image processing, and more. Each project is ranked by quality using GitHub and package manager metrics, helping you find the best tools for your needs. Popular libraries like TensorFlow, PyTorch, scikit-learn, and Hugging Face transformers are included, along with specialized ones for time series, reinforcement learning, and model interpretability. This resource saves you time by guiding you to high-quality, actively maintained libraries for building, optimizing, and deploying machine learning models efficiently.
https://github.com/ml-tooling/best-of-ml-python
GitHub
GitHub - lukasmasuch/best-of-ml-python: 🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.
🏆 A ranked list of awesome machine learning Python libraries. Updated weekly. - lukasmasuch/best-of-ml-python
#ruby #engineering_blogs #lists #programming_blogs #software_development #tech
This list organizes hundreds of top software engineering blogs from big companies, well-known individuals, and popular technologies, all sorted for easy browsing. Following these blogs gives you access to expert advice, real-world solutions, and the latest trends in tech, helping you solve problems faster, learn new skills, and stay updated with what’s happening in the industry[1][3][5]. This saves you time and effort by pointing you to the most valuable resources, so you can focus on learning and improving your work.
https://github.com/kilimchoi/engineering-blogs
This list organizes hundreds of top software engineering blogs from big companies, well-known individuals, and popular technologies, all sorted for easy browsing. Following these blogs gives you access to expert advice, real-world solutions, and the latest trends in tech, helping you solve problems faster, learn new skills, and stay updated with what’s happening in the industry[1][3][5]. This saves you time and effort by pointing you to the most valuable resources, so you can focus on learning and improving your work.
https://github.com/kilimchoi/engineering-blogs
GitHub
GitHub - kilimchoi/engineering-blogs: A curated list of engineering blogs
A curated list of engineering blogs. Contribute to kilimchoi/engineering-blogs development by creating an account on GitHub.
#python #data_mining #data_science #deep_learning #deep_reinforcement_learning #genetic_algorithm #machine_learning #machine_learning_from_scratch
This project offers Python code for many basic machine learning models and algorithms built from scratch, focusing on clear, understandable implementations rather than speed or optimization. You can learn how these algorithms work inside by running examples like polynomial regression, convolutional neural networks, clustering, and genetic algorithms. This hands-on approach helps you deeply understand machine learning concepts and build your own custom models. Using Python makes it easier because of its simple, readable code and flexibility, letting you quickly test and modify algorithms. This can improve your skills and confidence in machine learning development.
https://github.com/eriklindernoren/ML-From-Scratch
This project offers Python code for many basic machine learning models and algorithms built from scratch, focusing on clear, understandable implementations rather than speed or optimization. You can learn how these algorithms work inside by running examples like polynomial regression, convolutional neural networks, clustering, and genetic algorithms. This hands-on approach helps you deeply understand machine learning concepts and build your own custom models. Using Python makes it easier because of its simple, readable code and flexibility, letting you quickly test and modify algorithms. This can improve your skills and confidence in machine learning development.
https://github.com/eriklindernoren/ML-From-Scratch
GitHub
GitHub - eriklindernoren/ML-From-Scratch: Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models…
Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep lear...
#typescript #admin #admin_template #elegant #naive_ui #naive_ui_admin #pinia #typescript #unocss #vite6 #vue #vue_admin #vue3
SoybeanAdmin is a modern, elegant, and powerful backend management template built with the latest technologies like Vue3, Vite6, TypeScript, Pinia, and UnoCSS. It offers a clear project structure, strict code standards, automated file routing, and built-in internationalization. It supports flexible permission routing, rich page components, and mobile-friendly layouts, making it ready to use without extra setup. This helps you quickly build or learn advanced admin systems with high code quality and customization options, saving time and improving development efficiency. It also provides command-line tools and mock data support for easier development and testing[1][4][5].
https://github.com/soybeanjs/soybean-admin
SoybeanAdmin is a modern, elegant, and powerful backend management template built with the latest technologies like Vue3, Vite6, TypeScript, Pinia, and UnoCSS. It offers a clear project structure, strict code standards, automated file routing, and built-in internationalization. It supports flexible permission routing, rich page components, and mobile-friendly layouts, making it ready to use without extra setup. This helps you quickly build or learn advanced admin systems with high code quality and customization options, saving time and improving development efficiency. It also provides command-line tools and mock data support for easier development and testing[1][4][5].
https://github.com/soybeanjs/soybean-admin
GitHub
GitHub - soybeanjs/soybean-admin: A clean, elegant, beautiful and powerful admin template, based on Vue3, Vite7, TypeScript, Pinia…
A clean, elegant, beautiful and powerful admin template, based on Vue3, Vite7, TypeScript, Pinia, NaiveUI and UnoCSS. 一个清新优雅、高颜值且功能强大的后台管理模板,基于最新的前端技术栈,包括 Vue3, Vite7, TypeScript, Pinia, NaiveUI 和 ...
#python #mootdx #pytdx #tdx #tdxpy
mootdx is a free, open-source Python tool that helps you easily read and use stock market data from Tongdaxin on Windows, MacOS, and Linux. It supports Python 3.8+ and can read offline daily, minute, and timeline stock data, as well as online real-time market quotes and financial files. You can install it simply with pip and use it to get detailed stock info for analysis or trading. This saves you time and effort by providing a ready-made, flexible way to access and work with Chinese stock market data in Python. It’s great for learning, research, and personal projects but not for commercial use[1][4].
https://github.com/mootdx/mootdx
mootdx is a free, open-source Python tool that helps you easily read and use stock market data from Tongdaxin on Windows, MacOS, and Linux. It supports Python 3.8+ and can read offline daily, minute, and timeline stock data, as well as online real-time market quotes and financial files. You can install it simply with pip and use it to get detailed stock info for analysis or trading. This saves you time and effort by providing a ready-made, flexible way to access and work with Chinese stock market data in Python. It’s great for learning, research, and personal projects but not for commercial use[1][4].
https://github.com/mootdx/mootdx
GitHub
GitHub - mootdx/mootdx: 通达信数据读取的一个简便使用封装
通达信数据读取的一个简便使用封装. Contribute to mootdx/mootdx development by creating an account on GitHub.
#typescript #ai_gateway #gateway #generative_ai #hacktoberfest #langchain #llama_index #llmops #llms #openai #prompt_engineering #router
The AI Gateway by Portkey lets you connect to over 1600 AI models quickly and securely through one simple API, making it easy to integrate any language, vision, or audio AI model in under two minutes. It ensures fast responses with less than 1ms latency, automatic retries, load balancing, and fallback options to keep your AI apps reliable and scalable. It also offers strong security with role-based access, guardrails, and compliance with standards like SOC2 and GDPR. You can save costs with smart caching and optimize usage without changing your code. This helps you build powerful, cost-effective, and secure AI applications faster and with less hassle.
https://github.com/Portkey-AI/gateway
The AI Gateway by Portkey lets you connect to over 1600 AI models quickly and securely through one simple API, making it easy to integrate any language, vision, or audio AI model in under two minutes. It ensures fast responses with less than 1ms latency, automatic retries, load balancing, and fallback options to keep your AI apps reliable and scalable. It also offers strong security with role-based access, guardrails, and compliance with standards like SOC2 and GDPR. You can save costs with smart caching and optimize usage without changing your code. This helps you build powerful, cost-effective, and secure AI applications faster and with less hassle.
https://github.com/Portkey-AI/gateway
GitHub
GitHub - Portkey-AI/gateway: A blazing fast AI Gateway with integrated guardrails. Route to 200+ LLMs, 50+ AI Guardrails with 1…
A blazing fast AI Gateway with integrated guardrails. Route to 200+ LLMs, 50+ AI Guardrails with 1 fast & friendly API. - Portkey-AI/gateway
#html #data_science #education #machine_learning #machine_learning_algorithms #machinelearning #machinelearning_python #microsoft_for_beginners #ml #python #r #scikit_learn #scikit_learn_python
Microsoft’s "Machine Learning for Beginners" is a free, 12-week course with 26 lessons designed to teach classic machine learning using Python and Scikit-learn. It includes quizzes, projects, and assignments to help you learn by doing, with lessons themed around global cultures to keep it engaging. You can access solutions, videos, and even R language versions. The course is beginner-friendly, flexible, and helps build practical skills step-by-step, making it easier to understand and apply machine learning concepts in real-world scenarios. This structured approach boosts your learning retention and prepares you for further study or career growth in ML[1][5].
https://github.com/microsoft/ML-For-Beginners
Microsoft’s "Machine Learning for Beginners" is a free, 12-week course with 26 lessons designed to teach classic machine learning using Python and Scikit-learn. It includes quizzes, projects, and assignments to help you learn by doing, with lessons themed around global cultures to keep it engaging. You can access solutions, videos, and even R language versions. The course is beginner-friendly, flexible, and helps build practical skills step-by-step, making it easier to understand and apply machine learning concepts in real-world scenarios. This structured approach boosts your learning retention and prepares you for further study or career growth in ML[1][5].
https://github.com/microsoft/ML-For-Beginners
GitHub
GitHub - microsoft/ML-For-Beginners: 12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all
12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all - microsoft/ML-For-Beginners
#c_lang
Microui is a very small and simple user interface library written in plain C, with about 1100 lines of code. It works within a fixed memory size without extra allocation and includes basic controls like windows, buttons, sliders, textboxes, and labels. It can be used with any system that can draw rectangles and text, and you can easily add your own custom controls. Microui processes user input and generates drawing commands but does not draw itself, so you handle rendering separately. This makes it lightweight, portable, and easy to integrate into various projects, especially where minimal memory use and simplicity are important[1][2].
https://github.com/rxi/microui
Microui is a very small and simple user interface library written in plain C, with about 1100 lines of code. It works within a fixed memory size without extra allocation and includes basic controls like windows, buttons, sliders, textboxes, and labels. It can be used with any system that can draw rectangles and text, and you can easily add your own custom controls. Microui processes user input and generates drawing commands but does not draw itself, so you handle rendering separately. This makes it lightweight, portable, and easy to integrate into various projects, especially where minimal memory use and simplicity are important[1][2].
https://github.com/rxi/microui
GitHub
GitHub - rxi/microui: A tiny immediate-mode UI library
A tiny immediate-mode UI library. Contribute to rxi/microui development by creating an account on GitHub.
#python
Live Agent Studio is a community-driven platform where you can explore, use, and create AI agents for various tasks like customer support, data analysis, and business automation. It offers an easy-to-use interface with a growing library of open-source AI agents that you can customize and test in real time. You get free tokens to start using agents, and more tokens can be purchased to cover usage costs. The platform encourages learning and innovation by sharing source code and workflows, making it ideal for both beginners and developers. It helps you automate tasks, improve productivity, and stay updated with the latest AI tools all in one place[1][2].
https://github.com/coleam00/ottomator-agents
Live Agent Studio is a community-driven platform where you can explore, use, and create AI agents for various tasks like customer support, data analysis, and business automation. It offers an easy-to-use interface with a growing library of open-source AI agents that you can customize and test in real time. You get free tokens to start using agents, and more tokens can be purchased to cover usage costs. The platform encourages learning and innovation by sharing source code and workflows, making it ideal for both beginners and developers. It helps you automate tasks, improve productivity, and stay updated with the latest AI tools all in one place[1][2].
https://github.com/coleam00/ottomator-agents
GitHub
GitHub - coleam00/ottomator-agents: All the open source AI Agents hosted on the oTTomator Live Agent Studio platform!
All the open source AI Agents hosted on the oTTomator Live Agent Studio platform! - coleam00/ottomator-agents
#python
RL Swarm is a free, open-source system that lets you train AI models together with others using your own computer or cloud GPU. It adapts to your hardware, so even less powerful devices can join and contribute equally. You connect through a simple setup using Docker, and your progress is tracked on-chain with a secure identity. This collaborative approach improves model quality by sharing knowledge and peer feedback, making AI training more efficient and accessible. You can also upload your models to Hugging Face and monitor training live on a dashboard, benefiting from a community-driven, decentralized reinforcement learning network.
https://github.com/gensyn-ai/rl-swarm
RL Swarm is a free, open-source system that lets you train AI models together with others using your own computer or cloud GPU. It adapts to your hardware, so even less powerful devices can join and contribute equally. You connect through a simple setup using Docker, and your progress is tracked on-chain with a secure identity. This collaborative approach improves model quality by sharing knowledge and peer feedback, making AI training more efficient and accessible. You can also upload your models to Hugging Face and monitor training live on a dashboard, benefiting from a community-driven, decentralized reinforcement learning network.
https://github.com/gensyn-ai/rl-swarm
GitHub
GitHub - gensyn-ai/rl-swarm: A fully open source framework for creating RL training swarms over the internet.
A fully open source framework for creating RL training swarms over the internet. - gensyn-ai/rl-swarm
#rust #2d_graphics #art #compositor #design #graphic_design #graphics_editor #image_generation #image_manipulation #image_processing #node_editor #node_graph #photo_editing #photo_editor #procedural #procedural_art #procedural_drawing #svg_editor #vector_editor
Graphite is a free, open-source 2D graphics editor that combines vector and raster tools with a unique hybrid workflow using layers and nodes. It lets you create detailed vector art and designs with nondestructive editing, meaning you can change your work anytime without losing quality. The node-based system offers powerful, flexible control like visual programming, while the layer system keeps things simple and familiar. This makes it easy to create complex graphics, animations, and effects all in one tool. Graphite is still evolving but aims to be a versatile, all-in-one creative platform accessible to everyone, helping you unleash your artistic potential efficiently[1][2][4].
https://github.com/GraphiteEditor/Graphite
Graphite is a free, open-source 2D graphics editor that combines vector and raster tools with a unique hybrid workflow using layers and nodes. It lets you create detailed vector art and designs with nondestructive editing, meaning you can change your work anytime without losing quality. The node-based system offers powerful, flexible control like visual programming, while the layer system keeps things simple and familiar. This makes it easy to create complex graphics, animations, and effects all in one tool. Graphite is still evolving but aims to be a versatile, all-in-one creative platform accessible to everyone, helping you unleash your artistic potential efficiently[1][2][4].
https://github.com/GraphiteEditor/Graphite
GitHub
GitHub - GraphiteEditor/Graphite: Open source comprehensive 2D content creation tool suite for graphic design, digital art, and…
Open source comprehensive 2D content creation tool suite for graphic design, digital art, and interactive real-time motion graphics — featuring node-based procedural editing - GraphiteEditor/Graphite
❤2
#javascript #linux #macos #ocr #pot #pot_app #recognize #tauri #translate #translation #tts #windows
Pot is a cross-platform translation tool that lets you quickly translate text by selecting it and using a shortcut, typing text to translate, or using OCR to translate text from screenshots. It supports many translation engines like OpenAI, Google, DeepL, and more, plus offline options. You can also add plugins to extend its features and use it on Windows, macOS, and Linux. Pot offers an API for integration with other software and works well even on Wayland systems. This makes translating easier, faster, and more flexible, helping you understand and work with multiple languages efficiently.
https://github.com/pot-app/pot-desktop
Pot is a cross-platform translation tool that lets you quickly translate text by selecting it and using a shortcut, typing text to translate, or using OCR to translate text from screenshots. It supports many translation engines like OpenAI, Google, DeepL, and more, plus offline options. You can also add plugins to extend its features and use it on Windows, macOS, and Linux. Pot offers an API for integration with other software and works well even on Wayland systems. This makes translating easier, faster, and more flexible, helping you understand and work with multiple languages efficiently.
https://github.com/pot-app/pot-desktop
GitHub
GitHub - pot-app/pot-desktop: 🌈一个跨平台的划词翻译和OCR软件 | A cross-platform software for text translation and recognition.
🌈一个跨平台的划词翻译和OCR软件 | A cross-platform software for text translation and recognition. - pot-app/pot-desktop
#python #emulation #open_source #retrogaming #rommapp #self_hosted
RomM is a powerful, self-hosted ROM manager that helps you organize, browse, and play your game collection easily through a clean web interface. It supports over 400 gaming platforms and enriches your library with metadata, artwork, and achievements from popular databases like IGDB and Retroachievements. You can play games directly in your browser using built-in emulators, manage multi-disk games, DLCs, mods, and share your collection with friends securely. RomM works on desktop and mobile, making game management simple and accessible anywhere, enhancing your gaming experience by keeping everything organized and playable in one place.
https://github.com/rommapp/romm
RomM is a powerful, self-hosted ROM manager that helps you organize, browse, and play your game collection easily through a clean web interface. It supports over 400 gaming platforms and enriches your library with metadata, artwork, and achievements from popular databases like IGDB and Retroachievements. You can play games directly in your browser using built-in emulators, manage multi-disk games, DLCs, mods, and share your collection with friends securely. RomM works on desktop and mobile, making game management simple and accessible anywhere, enhancing your gaming experience by keeping everything organized and playable in one place.
https://github.com/rommapp/romm