dmudiger

FlexFlow

A distributed deep learning framework that supports flexible parallelization strategies.

pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

RecSysPT_kdd20

Building Recommender Systems with PyTorch - KDD 2020 Tutorial

1-billion-word-language-modeling-benchmark

Formerly known as code.google.com/p/1-billion-word-language-modeling-benchmark

bigBatch

Code used to generate the results appearing in "Train longer, generalize better: closing the generalization gap in large batch training of neural networks"

caffe

Caffe: a fast open framework for deep learning.

caffe-lstm

LSTM implementation on Caffe

DeepBench

dlrm

An implementation of a deep learning recommendation model (DLRM)

gemm_bench

Benchmark small GEMMs

HugeCTR

HugeCTR is a high efficiency GPU framework designed for Click-Through-Rate (CTR) estimating training

libxsmm

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

MULTIF

neon

Intel® Nervana™ reference deep learning framework committed to best performance on all hardware

tbb_test

TensorFlow-Examples

TensorFlow Tutorial and Examples for Beginners with Latest APIs

Ternary-networks-with-Fine-grain-Quantization

Theano

Theano is a Python library that allows you to define, optimize, and evaluate mathematical expressions involving multi-dimensional arrays efficiently. It can use GPUs and perform efficient symbolic differentiation.

torchgpipe

A GPipe implementation in PyTorch

training

Reference implementations of training benchmarks

vimrc

The ultimate Vim configuration: vimrc

workshops

This is a repository for all workshop related materials.