QYJI's repositories
awesome-self-supervised-learning
A curated list of awesome self-supervised methods
OpenSelfSup
Self-Supervised Learning Toolbox and Benchmark
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
fair_self_supervision_benchmark
Scaling and Benchmarking Self-Supervised Visual Representation Learning
FastFCN
FastFCN: Rethinking Dilated Convolution in the Backbone for Semantic Segmentation.
fdujay.github.io
BY Blog ->
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
Learning-Loss-for-Active-Learning
Reproducing experimental results of LL4AL [Yoo et al. 2019 CVPR]
MAE-pytorch
Unofficial PyTorch implementation of Masked Autoencoders Are Scalable Vision Learners
modAL
A modular active learning framework for Python
NPID
A PyTorch implementation of NPID based on CVPR 2018 paper "Unsupervised Feature Learning via Non-Parametric Instance Discrimination"
pycuda_drr
Digitally recconstructed radiograph
pytorch-DR
Implementation of team o_O solution for the Kaggle Diabetic Retinopathy Detection Challenge in pytorch.
pytorch-tutorial
PyTorch Tutorial for Deep Learning Researchers
Pytorch-UNet
PyTorch implementation of the U-Net for image semantic segmentation with high quality images
pytorch_classification
利用pytorch实现图像分类的一个完整的代码，训练，预测，TTA，模型融合，模型部署，cnn提取特征，svm或者随机森林等进行分类，模型蒸馏，一个完整的代码
SIIM-ISIC-challenge
Project of SIIM-ISIC challenge
skin-data-augmentation
Source code for the paper 'Data Augmentation for Skin Lesion Analysis' - Best Paper Award at the ISIC Skin Image Analysis Workshop @ MICCAI 2018
ultralytics
NEW - YOLOv8 🚀 in PyTorch > ONNX > OpenVINO > CoreML > TFLite