wenwei202

algorithms

Implementations of basic data structures and algorithms

autogrow

AutoGrow: Automatic Layer Growing in Deep Convolutional Networks (KDD 2020)

benchmarking

Misc benchmarking tools

caffe

Caffe for Sparse and Low-rank Deep Neural Networks

Caffe-Net-Generator

Net prototxt generator for Caffe

FastFlexANN

FastFlexANN is a fast C or C++ language implementation of sparse artificial neural networks with flexible connectivity.

iss-rnns

Sparse Recurrent Neural Networks -- Pruning Connections and Hidden Sizes (TensorFlow)

pytorch-examples

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

smoothout

SmoothOut: Smoothing Out Sharp Minima to Improve Generalization in Deep Learning

terngrad

Ternary Gradients to Reduce Communication in Distributed Deep Learning (TensorFlow)

wenwei202/caffe

Caffe for Sparse and Low-rank Deep Neural Networks

wenwei202/terngrad

Ternary Gradients to Reduce Communication in Distributed Deep Learning (TensorFlow)

wenwei202/iss-rnns

Sparse Recurrent Neural Networks -- Pruning Connections and Hidden Sizes (TensorFlow)

wenwei202/autogrow

AutoGrow: Automatic Layer Growing in Deep Convolutional Networks (KDD 2020)

wenwei202/smoothout

SmoothOut: Smoothing Out Sharp Minima to Improve Generalization in Deep Learning

wenwei202/pytorch-examples

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

wenwei202/FastFlexANN

FastFlexANN is a fast C or C++ language implementation of sparse artificial neural networks with flexible connectivity.

wenwei202/Caffe-Net-Generator

Net prototxt generator for Caffe

wenwei202/algorithms

Implementations of basic data structures and algorithms

wenwei202/benchmarking

Misc benchmarking tools

wenwei202/models

Models built with TensorFlow

wenwei202/loss-landscape

Code for visualizing the loss landscape of neural nets

wenwei202/bi-att-flow

Bidirectional Attention Flow

wenwei202/bigBatch

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

wenwei202/caffe2.github.io

The caffe2 website.

wenwei202/CARLsim3

CARLsim is an efficient, easy-to-use, GPU-accelerated software framework for simulating large-scale spiking neural network (SNN) models with a high degree of biological detail.

wenwei202/large-batch-training

Code to reproduce some of the figures in the paper "On Large-Batch Training for Deep Learning: Generalization Gap and Sharp Minima"

wenwei202/mxnet

Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Scala, Go, Javascript and more

wenwei202/nasbench

NASBench: A Neural Architecture Search Dataset and Benchmark

wenwei202/NasRec

NASRec Weight Sharing Neural Architecture Search for Recommender Systems

wenwei202/network-for-relu

wenwei202/nnan

wenwei202/opencv

Open Source Computer Vision Library

wenwei202/opencv_contrib

Repository for OpenCV's extra modules

wenwei202/python-drums

plays drum tablature

wenwei202/pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

wenwei202/RecurrentHighwayNetworks

Recurrent Highway Networks - Implementations for Tensorflow, Torch7, Theano and Brainstorm

wenwei202/wenwei202.github.io