Starred repositories
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
Tensors and Dynamic neural networks in Python with strong GPU acceleration
FastAPI framework, high performance, easy to learn, fast to code, ready for production
Models and examples built with TensorFlow
The world's simplest facial recognition api for Python and the command line
Clone a voice in 5 seconds to generate arbitrary speech in real-time
TensorFlow code and pre-trained models for BERT
Streamlit — A faster way to build and share data apps.
The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (V…
Detectron2 is a platform for object detection, segmentation and other visual recognition tasks.
Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more
Facebook AI Research Sequence-to-Sequence Toolkit written in Python.
💫 Industrial-strength Natural Language Processing (NLP) in Python
OpenMMLab Detection Toolbox and Benchmark
Pretrain, finetune ANY AI model of ANY size on multiple GPUs, TPUs with zero code changes.
FAIR's research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet.
Image-to-Image Translation in PyTorch
A cross-platform command-line utility that creates projects from cookiecutters (project templates), e.g. Python package projects, C projects.
A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.
A minimal PyTorch re-implementation of the OpenAI GPT (Generative Pretrained Transformer) training
Large-scale Self-supervised Pre-training Across Tasks, Languages, and Modalities
Open standard for machine learning interoperability
The interactive graphing library for Python ✨ This project now includes Plotly Express!
Datasets, Transforms and Models specific to Computer Vision
Official repository for IPython itself. Other repos in the IPython organization contain things like the website, documentation builds, etc.
Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research.