A PyTorch Extension: Tools for easy mixed precision and distributed training in Pytorch

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

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

JAX-based neural network library

AutoML library for deep learning

Machine Learning Pipelines for Kubeflow

Datasets, Transforms and Models specific to Computer Vision

Model Serving on PyTorch

Petastorm library enables single machine or distributed training and evaluation of deep learning models from datasets in Apache Parquet format. It supports ML frameworks such as Tensorflow, Pytorch…

Kubernetes IN Docker - local clusters for testing Kubernetes

PyTorch image models, scripts, pretrained weights -- (SE)ResNet/ResNeXT, DPN, EfficientNet, MixNet, MobileNet-V3/V2, MNASNet, Single-Path NAS, FBNet, and more

Cloud ML Engine is now a part of AI Platform

Google Brain AutoML

Deep Learning Examples

TensorFlow code and pre-trained models for BERT

Serverless Inferencing on Kubernetes

Kubeflow's public website

Machine Learning Toolkit for Kubernetes

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 ;)

The Apple® Siri wave-form replicated in a JS library.