A game theoretic approach to explain the output of ml models
Open deep learning compiler stack for cpu, gpu, etc.
Create deep copies (clones) of your objects
Best practices on recommendation systems
Geometric deep learning extension library for PyTorch
AutoML library for deep learning
Pure Go implementation of the WebRTC API
Dshell is a network forensic analysis framework
MacroTools provides a library of tools for working with Julia code
Trainable models and NN optimization tools
Nx-powered Neural Networks
Decentralized deep learning in PyTorch. Built to train models
Petastorm library enables single machine or distributed training
An Embedded Computer Vision & Machine Learning Library
Enabling PyTorch on Google TPU
Time series Timeseries Deep Learning Machine Learning Pytorch fastai
On-device wake word detection powered by deep learning
AI Toolkit for Healthcare Imaging
A python library for easy manipulation and forecasting of time series
Making large AI models cheaper, faster and more accessible
AutoGluon: AutoML for Image, Text, and Tabular Data
Graph Neural Network Library for PyTorch
A unified framework for scalable computing
Powering Amazon custom machine learning chips
A library for deep learning end-to-end dialog systems and chatbots