cherise215

PyTorch-BayesianCNN

Bayesian Convolutional Neural Network with Variational Inference based on Bayes by Backprop in PyTorch.

Bayesian-Neural-Networks

Pytorch implementations of Bayes By Backprop, MC Dropout, SGLD, the Local Reparametrization Trick, KF-Laplace, SG-HMC and more

RelayNet

Measuring uncertainty in Deep Learning for Medical Imaging using Monte Carlo Dropout

semi-supervised-pytorch

Implementations of various VAE-based semi-supervised and generative models in PyTorch

HowToTrainYourMAMLPytorch

The original code for the paper "How to train your MAML" along with a replication of the original "Model Agnostic Meta Learning" (MAML) paper in Pytorch.

Machine_Learning_From_Scratch

Machine Learning models from scratch with a better visualisation

FewShot_GAN-Unet3D

Tensorflow implementation of our paper: Few-shot 3D Multi-modal Medical Image Segmentation using Generative Adversarial Learning

cardiac-segmentation

Right Ventricle Cardiac MRI Segmentation

MIRTK

The Medical Image Registration ToolKit (MIRTK), the successor of the IRTK, contains common CMake build configuration files, core libraries, and basic command-line tools. Extension packages are hosted by the MIRTK GitHub group at

examples

A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

Deep_Metric

Deep Metric Learning

pytorch-domain-adaptation

A collection of implementations of adversarial domain adaptation algorithms

itkwidgets

An elegant Python interface for visualization on the web platform to interactively generate insights into multidimensional images, point sets, and geometry.

visual_qc

Visual QC of dHCP structural pipeline output

maskrcnn-benchmark

Fast, modular reference implementation of Instance Segmentation and Object Detection algorithms in PyTorch.

SE2CNN

wgan-gp

A pytorch implementation of Paper "Improved Training of Wasserstein GANs"

Batch-Instance-Normalization

Batch-Instance Normalization (BIN)

DRNET

PyTorch implementation of the NIPS 2017 paper - Unsupervised Learning of Disentangled Representations from Video

awesome-domain-adaptation

A collection of AWESOME things about domian adaptation

awesome-gan-for-medical-imaging

Awesome GAN for Medical Imaging

SemanticSegmentation_DL

Resources of semantic segmantation based on Deep Learning model

residual_adapters

tensorboardX

tensorboard for pytorch (and chainer, mxnet, numpy, ...)

papers

Papers and their summary (in issue)

Xlearn

Transfer Learning Library

transferlearning

Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习

transferlearning-tutorial

《迁移学习简明手册》LaTex源码

WDGRL

Deep-Mutual-Learning

TensorFlow Implementation of Deep Mutual Learning