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QYJI's Projects

active-learning-pretrained-models icon 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

cnn-vae icon cnn-vae

Variational Autoencoder (VAE) with perception loss implementation in pytorch

fastfcn icon fastfcn

FastFCN: Rethinking Dilated Convolution in the Backbone for Semantic Segmentation.

glnet icon glnet

[CVPR 2019, Oral] "Collaborative Global-Local Networks for Memory-Efficient Segmentation of Ultra-High Resolution Images" by Wuyang Chen*, Ziyu Jiang*, Zhangyang Wang, Kexin Cui, and Xiaoning Qian

mae-pytorch icon mae-pytorch

Unofficial PyTorch implementation of Masked Autoencoders Are Scalable Vision Learners

medsl icon medsl

Medical application using Self-supervised Learning

modal icon modal

A modular active learning framework for Python

npid icon npid

A PyTorch implementation of NPID based on CVPR 2018 paper "Unsupervised Feature Learning via Non-Parametric Instance Discrimination"

pytorch-dr icon pytorch-dr

Implementation of team o_O solution for the Kaggle Diabetic Retinopathy Detection Challenge in pytorch.

pytorch-handbook icon 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-unet icon pytorch-unet

PyTorch implementation of the U-Net for image semantic segmentation with high quality images

pytorch_classification icon 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

simnibs icon simnibs

Simulation of Non-Invasive Brain Stimulation

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