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Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.
Robust Speech Recognition via Large-Scale Weak Supervision
DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.
Build and share delightful machine learning apps, all in Python. 🌟 Star to support our work!
Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more
Facebook AI Research Sequence-to-Sequence Toolkit written in Python.
You like pytorch? You like micrograd? You love tinygrad! ❤️
Real-time face swap for PC streaming or video calls
Graph Neural Network Library for PyTorch
An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.
Python package built to ease deep learning on graph, on top of existing DL frameworks.
Open source code for AlphaFold 2.
Implementation of DALL-E 2, OpenAI's updated text-to-image synthesis neural network, in Pytorch
Modin: Scale your Pandas workflows by changing a single line of code
Implementation of Imagen, Google's Text-to-Image Neural Network, in Pytorch
GLIDE: a diffusion-based text-conditional image synthesis model
State-of-the-art deep learning based audio codec supporting both mono 24 kHz audio and stereo 48 kHz audio.
Hummingbird compiles trained ML models into tensor computation for faster inference.
The official PyTorch implementation of the paper "Human Motion Diffusion Model"
Graph Neural Networks with Keras and Tensorflow 2.
Elegant easy-to-use neural networks + scientific computing in JAX. https://docs.kidger.site/equinox/
Avalanche: an End-to-End Library for Continual Learning based on PyTorch.
Platform for designing and evaluating Graph Neural Networks (GNN)
Pytorch Lightning code guideline for conferences