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: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

Inference code for Llama models

Interact with your documents using the power of GPT, 100% privately, no data leaks

Platform to experiment with the AI Software Engineer. Terminal based. NOTE: Very different from https://gptengineer.app

OpenAssistant is a chat-based assistant that understands tasks, can interact with third-party systems, and retrieve information dynamically to do so.

LlamaIndex is a data framework for your LLM applications

Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.

JARVIS, a system to connect LLMs with ML community. Paper: https://arxiv.org/pdf/2303.17580.pdf

Graph Neural Network Library for PyTorch

Zipline, a Pythonic Algorithmic Trading Library

OpenAI Baselines: high-quality implementations of reinforcement learning algorithms

An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.

Python Backtesting library for trading strategies

Python package built to ease deep learning on graph, on top of existing DL frameworks.

Gorilla: Training and Evaluating LLMs for Function Calls (Tool Calls)

An educational resource to help anyone learn deep reinforcement learning.

Always know what to expect from your data.

TensorFlow-based neural network library

A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.

AutoML library for deep learning

PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.

A collection of libraries to optimise AI model performances

A python library for user-friendly forecasting and anomaly detection on time series.

Implementation of RLHF (Reinforcement Learning with Human Feedback) on top of the PaLM architecture. Basically ChatGPT but with PaLM

Automated Machine Learning with scikit-learn

Data on COVID-19 (coronavirus) cases, deaths, hospitalizations, tests • All countries • Updated daily by Our World in Data

Deep Reinforcement Learning for Keras.

Build Graph Nets in Tensorflow