Pinned Repositories
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_LightweightNet
This is a caffe project for Lightweight Network
xugithub1's Repositories
xugithub1/Augmentor
Image augmentation library in Python for machine learning.
xugithub1/caffe-yolov3
A real-time object detection framework of Yolov3/v4 based on caffe
xugithub1/Caffe-YOLOv3-Windows
A windows caffe implementation of YOLO detection network
xugithub1/channel-pruning-face-ICCV17-
Channel Pruning for Accelerating Very Deep Neural Networks
xugithub1/CondenseNet
CondenseNet: Light weighted CNN for mobile devices
xugithub1/Coursera-ML-AndrewNg-Notes
Machine Learning of AndrewNg
xugithub1/CVPR2020-Code
CVPR 2020 论文开源项目合集
xugithub1/data_managerment_github
xugithub1/deep-learning-papers-translation
Deep Learning papers translate into Chinese including classification and detection papers
xugithub1/deeplearningbook-chinese
Deep Learning Book Chinese Translation
xugithub1/ESPNet
ESPNet: Efficient Spatial Pyramid of Dilated Convolutions for Semantic Segmentation
xugithub1/fcn.berkeleyvision.org
Fully Convolutional Networks for Semantic Segmentation by Jonathan Long*, Evan Shelhamer*, and Trevor Darrell. CVPR 2015 and PAMI 2016.
xugithub1/gflags
The gflags package contains a C++ library that implements commandline flags processing. It includes built-in support for standard types such as string and the ability to define flags in the source file in which they are used. Online documentation available at:
xugithub1/ImageNet-Trained-Models
Common networks on ImageNet Dataset
xugithub1/LargeMargin_Softmax_Loss
Implementation for <Large-Margin Softmax Loss for Convolutional Neural Networks> in ICML'16.
xugithub1/LightNet
LightNet: Light-weight Networks for Semantic Image Segmentation (Cityscapes and Mapillary Vistas Dataset)
xugithub1/Microsoft_caffe
Caffe on both Linux and Windows
xugithub1/ml-visuals
Visuals contains figures and templates which you can reuse and customize to improve your scientific writing.
xugithub1/MobileNet-Caffe
Caffe Implementation of Google's MobileNets (v1 and v2)
xugithub1/PaperWriting
xugithub1/plaidml
PlaidML is a framework for making deep learning work everywhere.
xugithub1/pytorch2caffe
Convert PyTorch model to Caffemodel
xugithub1/PyTorchZeroToAll
Simple PyTorch Tutorials Zero to ALL!
xugithub1/ResNet-18-Caffemodel-on-ImageNet
ResNet-18 Caffemodel @ilsvrc12 shrt 256 with Top-1 69% Top-5 89%
xugithub1/resnet-cifar10-caffe
ResNet-20/32/44/56/110 on CIFAR-10 with Caffe
xugithub1/SiamFC-PyTorch
PyTorch (0.40) implementation of SiamFC
xugithub1/SimSiam
A pytorch implementation for paper 'Exploring Simple Siamese Representation Learning'
xugithub1/transferlearning
Everything about Transfer Learning and Domain Adaptation
xugithub1/ucasthesis
Latex Thesis Template for the University of Chinese Academy of Sciences
xugithub1/Xlearn_mk_MMD
Transfer Learning Library