DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.

A high-throughput and memory-efficient inference and serving engine for LLMs

Deliberate exercises for Kubernetes

Automatically split your PyTorch models on multiple GPUs for training & inference

Editable div component for Dash applications

An inference server for your machine learning models, including support for multiple frameworks, multi-model serving and more

Algorithms for outlier, adversarial and drift detection

A collection of research materials on explainable AI/ML

Algorithms for explaining machine learning models

Deep Learning for humans

Reinforcement Learning for Gym CarRacing-v0 with PyTorch

PyTorch Tutorial for Deep Learning Researchers