Belye's repositories
HRNet-Semantic-Segmentation
High-resolution representation learning (HRNets) for Semantic Segmentation
pytorch-cnn-visualizations
Pytorch implementation of convolutional neural network visualization techniques
Bayesian-Crowd-Counting
Official Implement of ICCV 2019 oral paper Bayesian Loss for Crowd Count Estimation with Point Supervision
cvpr2019
cvpr2019 papers,极市团队整理
DANet
Dual Attention Network for Scene Segmentation (CVPR2019)
DataLoaders_DALI
PyTorch DataLoaders implemented with DALI for boosting image preprocessing
deeplearning-models
A collection of various deep learning architectures, models, and tips
DUpsampling
This repo is an unofficial pytorch implementation of CVPR2019 paper: Decoders Matter for Semantic Segmentation: Data-Dependent Decoding Enables Flexible Feature Aggregation
EMANet
The code for Expectation-Maximization Attention Networks for Semantic Segmentation (ICCV'2019 Oral)
GAN-Tutorial
Very Simple Implementation of many GAN models with PyTorch.
GCNet
GCNet: Non-local Networks Meet Squeeze-Excitation Networks and Beyond
grokking_algorithms
Code for the book Grokking Algorithms (https://amzn.to/29rVyHf)
L-Seg
L-Seg: An End-to-End Unified Framework for Multi-lesion Segmentation of Fundus Images
netron
Visualizer for neural network, deep learning and machine learning models
nni
An open source AutoML toolkit for neural architecture search and hyper-parameter tuning.
numpy-ml
Machine learning, in numpy
pytorch-handbook
pytorch handbook是一本开源的书籍,目标是帮助那些希望和使用PyTorch进行深度学习开发和研究的朋友快速入门,其中包含的Pytorch教程全部通过测试保证可以成功运行
pytorch-sync-batchnorm-example
How to use Cross Replica / Synchronized Batchnorm in Pytorch
Pytorch_Medical_Segmention_Template
This is a pytorch project template about medical segmentation
PytorchInsight
a pytorch lib with state-of-the-art architectures, pretrained models and real-time updated results
SiamRPN_plus_plus_PyTorch
SiamRPN, SiamRPN++, unofficial implementation of "SiamRPN++" (CVPR2019), multi-GPUs, LMDB.
Triple-ANet
Triple ANet: Adaptive Abnormal-aware Attention Network for WCE Image Classification, MICCAI2019
UNet-family
Paper and implementation of UNet-related model.