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17 stars written in Python
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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.

Python 181,523 46,278 Updated Jan 29, 2026

🤗 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.

Python 155,880 31,887 Updated Jan 28, 2026

Deepfakes Software For All

Python 54,933 13,434 Updated Jan 5, 2026

Making large AI models cheaper, faster and more accessible

Python 41,331 4,537 Updated Jan 19, 2026

Comprehensive Python Cheatsheet

Python 38,171 6,696 Updated Jan 24, 2026

🕸️ Web apps in pure Python 🐍

Python 28,033 1,683 Updated Jan 28, 2026

Reverse engineered ChatGPT API

Python 27,983 4,426 Updated Aug 2, 2023

The Ethereum Improvement Proposal repository

Python 13,756 6,067 Updated Jan 28, 2026

Minimal, clean code for the Byte Pair Encoding (BPE) algorithm commonly used in LLM tokenization.

Python 10,287 1,002 Updated Jul 1, 2024

An implementation of model parallel autoregressive transformers on GPUs, based on the Megatron and DeepSpeed libraries

Python 7,371 1,097 Updated Dec 10, 2025

Model parallel transformers in JAX and Haiku

Python 6,363 887 Updated Jan 21, 2023

Amazon Redshift Utils contains utilities, scripts and view which are useful in a Redshift environment

Python 2,811 1,250 Updated Sep 3, 2025

A robust Python tool for text-based AI training and generation using GPT-2.

Python 1,841 219 Updated Jul 14, 2023

Easily generate thousands of 3D models, images, and animation automatically in Blender for free with Blend_My_NFTs.

Python 1,015 333 Updated Jun 28, 2023

A serializable note sequence representation and utilities.

Python 235 62 Updated Feb 28, 2025

DeepSpeed is a deep learning optimization library that makes distributed training easy, efficient, and effective.

Python 171 48 Updated Sep 26, 2025

Graph Sampling is a python package containing various approaches which samples the original graph according to different sample sizes.

Python 164 51 Updated Dec 4, 2020