narayanan2004

GraphMat

GraphMat graph analytics framework

brainiak

Brain Imaging Analysis Kit

dlrm

An implementation of a deep learning recommendation model (DLRM)

glow

Compiler for Neural Network hardware accelerators

gpusvm

Automatically exported from code.google.com/p/gpusvm

graphalytics-platforms-graphmat

graphalytics-platforms-reference

Reference implementation of Graphalytics benchmark algorithm using sequential Java code

hyperopt

Distributed Asynchronous Hyperparameter Optimization in Python

libxsmm

Library targeting Intel Architecture for small, dense or sparse matrix multiplications, and small convolutions.

ms-bfs

Source code for VLDB 2015 paper "The More the Merrier: Efficient Multi-Source Graph Traversal"

pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

recipes

Recipes are a standard, well supported set of blueprints for machine learning engineers to rapidly train models using the latest research techniques without significant engineering overhead.Specifically, recipes aims to provide- Consistent access to pre-trained SOTA models ready for production- Reference implementations for SOTA research reproducibility, and infrastructure to guarantee correctness, efficiency, and interoperability.

tensorflow-xsmm

Improved performance for TensorFlow on Intel hardware.

torchrec

Pytorch domain library for recommendation systems