AojunZhou's repositories
Efficient-Deep-Learning
Related Paper of Efficient Deep Neural Networks
PWC-Net
PWC-Net: CNNs for Optical Flow Using Pyramid, Warping, and Cost Volume, CVPR 2018 (Oral)
Monocular-3D-Human-Pose
Generalizaing Monocular 3D Human Pose Estimation in the Wild
single-path-nas
Single-Path NAS: Designing Hardware-Efficient ConvNets in less than 4 Hours
Fixup
A Re-implementation of Fixed-update Initialization
aojunzhou.github.io
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
Trained-Rank-Pruning
Pytorch implementation of TRP
darts
Differentiable architecture search for convolutional and recurrent networks
Incremental-Network-Quantization
Caffe Implementation for Incremental network quantization
assignment2-2018
(Spring 2018) Assignment 2: Graph Executor with TVM
pytorch_ShuffleNet
pytorch version of ShuffleNet
Xception-caffe
Xception implemented with caffe
terngrad
Ternary Gradients to Reduce Communication in Distributed Deep Learning (TensorFlow)
models
Models built with TensorFlow
Dynamic-Network-Surgery
Caffe implementation for dynamic network surgery.
RON
RON: Reverse Connection with Objectness Prior Networks for Object Detection, CVPR 2017
ShuffleNet
This is a fast caffe implementation of ShuffleNet.
residual-attention-network
Residual Attention Network for Image Classification
vision
Datasets, Transforms and Models specific to Computer Vision
tensorpack
Neural Network Toolbox on TensorFlow
cnn-models
ImageNet pre-trained models with batch normalization for the Caffe framework
ResNet-18-Caffemodel-on-ImageNet
ResNet-18 Caffemodel @ilsvrc12 shrt 256 with Top-1 69% Top-5 89%
MobileNet-Caffe
Caffe Implementation of Google's MobileNets
DenseNetCaffe
Caffe code for Densely Connected Convolutional Networks (DenseNets)
resnet-protofiles
Caffe Protofiles for MSRA ResNet: train prototxt
meta-learning-lstm
This repo contains the source code accompanying a scientific paper with the same name.
tensorflow
Computation using data flow graphs for scalable machine learning