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.

Models and examples built with TensorFlow

Ansible is a radically simple IT automation platform that makes your applications and systems easier to deploy and maintain. Automate everything from code deployment to network configuration to clo…

scikit-learn: machine learning in Python

A high-throughput and memory-efficient inference and serving engine for LLMs

Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more

An open platform for training, serving, and evaluating large language models. Release repo for Vicuna and Chatbot Arena.

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.

Let us control diffusion models!

⚡ A Fast, Extensible Progress Bar for Python and CLI

Pretrain, finetune ANY AI model of ANY size on multiple GPUs, TPUs with zero code changes.

The ChatGPT Retrieval Plugin lets you easily find personal or work documents by asking questions in natural language.

The official repo of Qwen (通义千问) chat & pretrained large language model proposed by Alibaba Cloud.

Original reference implementation of "3D Gaussian Splatting for Real-Time Radiance Field Rendering"

Letta is the platform for building stateful agents: open AI with advanced memory that can learn and self-improve over time.

Never use print for debugging again

Topic Modelling for Humans

A formatter for Python files

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

An educational resource to help anyone learn deep reinforcement learning.

Modin: Scale your Pandas workflows by changing a single line of code

Hydra is a framework for elegantly configuring complex applications

Chisel is a collection of LLDB commands to assist debugging iOS apps.

Run, manage, and scale AI workloads on any AI infrastructure. Use one system to access & manage all AI compute (Kubernetes, 17+ clouds, or on-prem).

Reads key-value pairs from a .env file and can set them as environment variables. It helps in developing applications following the 12-factor principles.

Python SQL Parser and Transpiler

StarCraft II Learning Environment

An Easy-to-use, Scalable and High-performance RLHF Framework based on Ray (PPO & GRPO & REINFORCE++ & vLLM & Ray & Dynamic Sampling & Async Agentic RL)

A fast PostgreSQL Database Client Library for Python/asyncio.