fdujay

active-learning-pretrained-models

Active Learning Helps Pretrained Models Learn the Intended Task (https://arxiv.org/abs/2204.08491) by Alex Tamkin, Dat Nguyen, Salil Deshpande, Jesse Mu, and Noah Goodman

awesome-active-learning

A curated list of awesome Active Learning

Awesome-Diabetic-Retinopathy-Detection

Papers and Public Datasets for Diabetic Retinopathy Detection

awesome-self-supervised-learning

A curated list of awesome self-supervised methods

CNN-VAE

Variational Autoencoder (VAE) with perception loss implementation in pytorch

Code

fdujay.github.io

BY Blog ->

MedSL

Medical application using Self-supervised Learning

OpenSelfSup

Self-Supervised Learning Toolbox and Benchmark

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

fdujay/pytorch-semseg

Semantic Segmentation Architectures Implemented in PyTorch

fdujay/pytorch_segmentation

Semantic segmentation models, datasets and losses implemented in PyTorch.

fdujay/simnibs

Simulation of Non-Invasive Brain Stimulation

fdujay/Unet-Segmentation-Pytorch-Nest-of-Unets

Implementation of different kinds of Unet Models for Image Segmentation - Unet , RCNN-Unet, Attention Unet, RCNN-Attention Unet, Nested Unet