A collective list of free APIs

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.

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]

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

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

PyTorch implementation of MAE https//arxiv.org/abs/2111.06377

High accuracy RAG for answering questions from scientific documents with citations

Semantic Image Synthesis with SPADE

Synthesizing and manipulating 2048x1024 images with conditional GANs

arXiv LaTeX Cleaner: Easily clean the LaTeX code of your paper to submit to arXiv

95.47% on CIFAR10 with PyTorch

A PyTorch implementation of NeRF (Neural Radiance Fields) that reproduces the results.

Pytorch implementation for Semantic Segmentation/Scene Parsing on MIT ADE20K dataset

An Open-Source Framework for Prompt-Learning.

A fork of OpenAI Baselines, implementations of reinforcement learning algorithms

Simple, online, and realtime tracking of multiple objects in a video sequence.