An Open Source Machine Learning Framework for Everyone

🤗 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.

Empowering everyone to build reliable and efficient software.

Godot Engine – Multi-platform 2D and 3D game engine

Tensors and Dynamic neural networks in Python with strong GPU acceleration

Models and examples built with TensorFlow

📚 List of awesome university courses for learning Computer Science!

🌟 The Multi-Agent Framework: First AI Software Company, Towards Natural Language Programming

Official electron build of draw.io

Rich is a Python library for rich text and beautiful formatting in the terminal.

JSON for Modern C++

🐸💬 - a deep learning toolkit for Text-to-Speech, battle-tested in research and production

TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)

Streamlit — A faster way to build and share data apps.

API Documentation Browser

GoogleTest - Google Testing and Mocking Framework

Google Research

Caffe: a fast open framework for deep learning.

Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more

12306智能刷票，订票

PyTorch Tutorial for Deep Learning Researchers

The ultimate Vim configuration (vimrc)

You like pytorch? You like micrograd? You love tinygrad! ❤️

stb single-file public domain libraries for C/C++

Pretrain, finetune ANY AI model of ANY size on 1 or 10,000+ GPUs with zero code changes.

Set up a personal VPN in the cloud

aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)

Productive, portable, and performant GPU programming in Python.

🧠 Laws, Theories, Principles and Patterns for developers and technologists.

Convolutional Neural Networks