Stars
😎 Awesome lists about all kinds of interesting topics
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.
🤗 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.
🦜🔗 The platform for reliable agents.
Models and examples built with TensorFlow
A high-throughput and memory-efficient inference and serving engine for LLMs
The simplest, fastest repository for training/finetuning medium-sized GPTs.
Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
A toolkit for developing and comparing reinforcement learning algorithms.
Facebook AI Research Sequence-to-Sequence Toolkit written in Python.
The official Python library for the OpenAI API
A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.
Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.
A guidance language for controlling large language models.
A massively parallel, high-level programming language
Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filte…
SWE-agent takes a GitHub issue and tries to automatically fix it, using your LM of choice. It can also be employed for offensive cybersecurity or competitive coding challenges. [NeurIPS 2024]
Must-read papers on graph neural networks (GNN)
OpenAI Baselines: high-quality implementations of reinforcement learning algorithms
Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.
🏄 Scalable embedding, reasoning, ranking for images and sentences with CLIP
QLoRA: Efficient Finetuning of Quantized LLMs
Code release for NeRF (Neural Radiance Fields)
Simple Reinforcement learning tutorials, 莫烦Python 中文AI教学
🚀 A simple way to launch, train, and use PyTorch models on almost any device and distributed configuration, automatic mixed precision (including fp8), and easy-to-configure FSDP and DeepSpeed support
😎 Awesome list of tools and projects with the awesome LangChain framework
PyTorch implementation of MAE https//arxiv.org/abs/2111.06377