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alexnet_with_tensorflow

an implement of AlexNet with tensorflow, which has a detailed explanation.

augmentor

Image augmentation library in Python for machine learning.

binaryconnect

Training Deep Neural Networks with binary weights during propagations

binarynet

Training Deep Neural Networks with Weights and Activations Constrained to +1 or -1

caffe-binarized-weight-networks

Binarized weight models

caffe-model

Caffe models (imagenet pretrain) and prototxt generator scripts for inception_v3 \ inception_v4 \ inception_resnet \ fractalnet \ resnext

caffe-model-1

Caffe models (imagenet pretrain) and prototxt generator scripts for inception_v3 \ inception_v4 \ inception_resnet \ fractalnet \ resnext

caffe-shufflenet

This is a fast caffe implementation of ShuffleNet.

caffe-twns

Implementation of Ternary Weight Networks In Caffe

caffe-windows

Configure Caffe in one hour for Windows users.

caffe-windows-ssd

In VS2015, with CUDA8 and Python3.5.2

caffe-yolov3

A real-time object detection framework of Yolov3/v4 based on caffe

caffe-yolov3-windows

A windows caffe implementation of YOLO detection network

caffe_lightweightnet

This is a caffe project for Lightweight Network

caffe_sparse_low-rank

Caffe for Sparse and Low-rank Deep Neural Networks

capsnet

CapsNet (Capsules Net) in Geoffrey E Hinton paper "Dynamic Routing Between Capsules"

channel-pruning-face-iccv17-

Channel Pruning for Accelerating Very Deep Neural Networks

cmcode

Ming-Ming Cheng's open source projects

condensenet

CondenseNet: Light weighted CNN for mobile devices

coursera-ml-andrewng-notes

Machine Learning of AndrewNg

cvpr2020-code

CVPR 2020 论文开源项目合集

dan

Code release of "Learning Transferable Features with Deep Adaptation Networks" (ICML 2015)

data-science-machine-learning-ai-resources

A curated set of resources for data science, machine learning, artificial intelligence (AI), data and text analytics, data visualization, big data, and more.

data_managerment_github

deep-learning-papers-translation

Deep Learning papers translate into Chinese including classification and detection papers

deep-residual-networks

Deep Residual Learning for Image Recognition

deeplearningbook-chinese

Deep Learning Book Chinese Translation

espnet

ESPNet: Efficient Spatial Pyramid of Dilated Convolutions for Semantic Segmentation

fcn.berkeleyvision.org

Fully Convolutional Networks for Semantic Segmentation by Jonathan Long*, Evan Shelhamer*, and Trevor Darrell. CVPR 2015 and PAMI 2016.

fitnets

FitNets: Hints for Thin Deep Nets