kasrayazdani

programming-dp

examples

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

nettack

Implementation of the paper "Adversarial Attacks on Neural Networks for Graph Data".

PyHessian

PyHessian is a Pytorch library for second-order based analysis and training of Neural Networks

pytorch-hessian-eigenthings

Efficient PyTorch Hessian eigendecomposition tools!

M-NMF

An implementation of "Community Preserving Network Embedding" (AAAI 2017)

LUPA-SGD

Implementation of Local Updates Periodic Averaging (LUPA) SGD

BCD-for-DNNs

Training Deep Neural Networks using Block Coordinate Descent Algorithms

Awesome-Distributed-Deep-Learning

A curated list of awesome Distributed Deep Learning resources.

stochastic_gradient_push

Stochastic Gradient Push for Distributed Deep Learning

professional-services

Common solutions and tools developed by Google Cloud's Professional Services team. This repository and its contents are not an officially supported Google product.

ee227c.github.io

EE227C (Spring 2018) Course page

apex

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

tensorflow

An Open Source Machine Learning Framework for Everyone

flownet2-tf

FlowNet 2.0: Evolution of Optical Flow Estimation with Deep Networks