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Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.
All Algorithms implemented in Python
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.
Robust Speech Recognition via Large-Scale Weak Supervision
Models and examples built with TensorFlow
A curated list of awesome Machine Learning frameworks, libraries and software.
🧑🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), ga…
Unified Efficient Fine-Tuning of 100+ LLMs & VLMs (ACL 2024)
The world's simplest facial recognition api for Python and the command line
Rich is a Python library for rich text and beautiful formatting in the terminal.
Financial data platform for analysts, quants and AI agents.
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.
LlamaIndex is the leading framework for building LLM-powered agents over your data.
Get your documents ready for gen AI
Streamlit — A faster way to build and share data apps.
DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.
An open platform for training, serving, and evaluating large language models. Release repo for Vicuna and Chatbot Arena.
OpenAssistant is a chat-based assistant that understands tasks, can interact with third-party systems, and retrieve information dynamically to do so.
The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (V…
Multi-agent framework, runtime and control plane. Built for speed, privacy, and scale.
PyTorch Tutorial for Deep Learning Researchers
Pretrain, finetune ANY AI model of ANY size on 1 or 10,000+ GPUs with zero code changes.
Code and documentation to train Stanford's Alpaca models, and generate the data.
DSPy: The framework for programming—not prompting—language models
Convert PDF to markdown + JSON quickly with high accuracy
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…