Stars
Interactive roadmaps, guides and other educational content to help developers grow in their careers.
A complete computer science study plan to become a software engineer.
All Algorithms implemented in Python
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.
Stable Diffusion web UI
Get up and running with OpenAI gpt-oss, DeepSeek-R1, Gemma 3 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.
This repo includes ChatGPT prompt curation to use ChatGPT and other LLM tools better.
🦜🔗 The platform for reliable agents.
User-friendly AI Interface (Supports Ollama, OpenAI API, ...)
Tensors and Dynamic neural networks in Python with strong GPU acceleration
Implement a ChatGPT-like LLM in PyTorch from scratch, step by step
Models and examples built with TensorFlow
A latent text-to-image diffusion model
A topic-centric list of HQ open datasets.
🔥 The Web Data API for AI - Turn entire websites into LLM-ready markdown or structured data
Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.
🧑🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), ga…
Turn any PDF or image document into structured data for your AI. A powerful, lightweight OCR toolkit that bridges the gap between images/PDFs and LLMs. Supports 100+ languages.
A high-throughput and memory-efficient inference and serving engine for LLMs
Unified Efficient Fine-Tuning of 100+ LLMs & VLMs (ACL 2024)
📚 Collaborative cheatsheets for console commands
The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
The simplest, fastest repository for training/finetuning medium-sized GPTs.
Fine-tuning & Reinforcement Learning for LLMs. 🦥 Train OpenAI gpt-oss, DeepSeek-R1, Qwen3, Gemma 3, TTS 2x faster with 70% less VRAM.
The definitive Web UI for local AI, with powerful features and easy setup.