Stars
Tensors and Dynamic neural networks in Python with strong GPU acceleration
FastAPI framework, high performance, easy to learn, fast to code, ready for production
Robust Speech Recognition via Large-Scale Weak Supervision
Models and examples built with TensorFlow
🧑🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), ga…
🐸💬 - a deep learning toolkit for Text-to-Speech, battle-tested in research and production
DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.
Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more
Detectron2 is a platform for object detection, segmentation and other visual recognition tasks.
Facebook AI Research Sequence-to-Sequence Toolkit written in Python.
Pretrain, finetune ANY AI model of ANY size on 1 or 10,000+ GPUs with zero code changes.
A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.
PyTorch implementations of Generative Adversarial Networks.
Code samples for my book "Neural Networks and Deep Learning"
Bringing Old Photo Back to Life (CVPR 2020 oral)
End-to-End Object Detection with Transformers
Open source code for AlphaFold 2.
An educational resource to help anyone learn deep reinforcement learning.
A very fast and expressive template engine.
Hydra is a framework for elegantly configuring complex applications
A PyTorch implementation of the Transformer model in "Attention is All You Need".
An elegant PyTorch deep reinforcement learning library.
Python library for audio and music analysis
Customisable coding font with alternates, ligatures and contextual positioning. Crazy crisp at 12px/9pt. http://larsenwork.com/monoid/