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bootstrapped

Generate bootstrapped confidence intervals for A/B testing in Python.

ca-net

Code for Comprehensive Attention Convolutional Neural Networks for Explainable Medical Image Segmentation.

cag_uda

(NeurIPS2019) Category Anchor-Guided Unsupervised Domain Adaptation for Semantic Segmentation

capsgnn

A PyTorch implementation of "Capsule Graph Neural Network" (ICLR 2019).

cosnet

See More, Know More: Unsupervised Video Object Segmentation with Co-Attention Siamese Networks (CVPR19)

deepclustering

Methods and Implements of Deep Clustering

detectron.pytorch

A pytorch implementation of Detectron. Both training from scratch and inferring directly from pretrained Detectron weights are available.

ecanet

Code for ECA-Net: Efficient Channel Attention for Deep Convolutional Neural Networks

efficientnet-pytorch

A PyTorch implementation of EfficientNet

fine-grained-segmentation-networks

Code for the ICCV paper "Fine-Grained Segmentation Networks: Self-Supervised Segmentation for Improved Long-Term Visual Localization"

gen-efficientnet-pytorch

Pretrained EfficientNet, EfficientNet-Lite, MixNet, MobileNetV3 / V2, MNASNet A1 and B1, FBNet, Single-Path NAS

kl-loss

Bounding Box Regression with Uncertainty for Accurate Object Detection (CVPR'19)

mixture-autoencoder

Implementation of "Deep Unsupervised Clustering Using Mixture of Autoencoders"

moco-v3

PyTorch implementation of MoCo v3 https//arxiv.org/abs/2104.02057

netron

Visualizer for neural network, deep learning, and machine learning models

pais

Code release for paper "Pseudo-label Alignment for Semi-supervised Instance Segmentation" [ICCV 2023]

pytorch-cifar

95.16% on CIFAR10 with PyTorch

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-unsupervised-segmentation-tip

pytorch_medical_image_seg_collection

pytorch_medical_segmention_template

This is a pytorch project template about medical segmentation

senet.pytorch

PyTorch implementation of SENet

skeletongcn

Skeleton Graph Convolution Network is based on the Deep Graph Library and inspired by ST-GCN network designing.

ssl4mis

Semi Supervised Learning for Medical Image Segmentation, a collection of literature reviews and code implementations.

vision

Datasets, Transforms and Models specific to Computer Vision

visualizing-cnn-feature-maps

Visualizing CNN filters using PyTorch