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