Master programming by recreating your favorite technologies from scratch.

Linux kernel source tree

An Open Source Machine Learning Framework for Everyone

Stable Diffusion web UI

🤗 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.

Tensors and Dynamic neural networks in Python with strong GPU acceleration

Open Source Computer Vision Library

Models and examples built with TensorFlow

The Python programming language

scikit-learn: machine learning in Python

Deep Learning for humans

The Julia Programming Language

Simple Python version management

TensorFlow code and pre-trained models for BERT

The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (V…

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

The fundamental package for scientific computing with Python.

Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep lear…

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 ;)

Python Fire is a library for automatically generating command line interfaces (CLIs) from absolutely any Python object.

Convolutional Neural Networks

FAIR's research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet.

Latex code for making neural networks diagrams

A minimal PyTorch re-implementation of the OpenAI GPT (Generative Pretrained Transformer) training

A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

Repository to track the progress in Natural Language Processing (NLP), including the datasets and the current state-of-the-art for the most common NLP tasks.

matplotlib: plotting with Python

A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning …

Github Pages template based upon HTML and Markdown for personal, portfolio-based websites.

🦉 Data Versioning and ML Experiments