Lists (6)
Stars
An Open Source Machine Learning Framework for Everyone
AutoGPT is the vision of accessible AI for everyone, to use and to build on. Our mission is to provide the tools, so that you can focus on what matters.
Get up and running with Kimi-K2.5, GLM-5, MiniMax, DeepSeek, gpt-oss, Qwen, Gemma and other 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.
Tensors and Dynamic neural networks in Python with strong GPU acceleration
Vim-fork focused on extensibility and usability
FastAPI framework, high performance, easy to learn, fast to code, ready for production
Explain complex systems using visuals and simple terms. Help you prepare for system design interviews.
Models and examples built with TensorFlow
Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.
A high-throughput and memory-efficient inference and serving engine for LLMs
A latent text-to-image diffusion model
🐙 Guides, papers, lessons, notebooks and resources for prompt engineering, context engineering, RAG, and AI Agents.
scikit-learn: machine learning in Python
A cross-platform, OpenGL terminal emulator.
Iconic font aggregator, collection, & patcher. 3,600+ icons, 50+ patched fonts: Hack, Source Code Pro, more. Glyph collections: Font Awesome, Material Design Icons, Octicons, & more
ripgrep recursively searches directories for a regex pattern while respecting your gitignore
Rich is a Python library for rich text and beautiful formatting in the terminal.
The lazier way to manage everything docker
👩💻👨💻 Awesome cheatsheets for popular programming languages, frameworks and development tools. They include everything you should know in one single file.
C++ based gRPC (C++, Python, Ruby, Objective-C, PHP, C#)
A simple, fast and user-friendly alternative to 'find'
Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.