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junjianli's Projects

advcl icon advcl

[NeurIPS 2021] “When does Contrastive Learning Preserve Adversarial Robustness from Pretraining to Finetuning?”

albumentations icon albumentations

Fast image augmentation library and an easy-to-use wrapper around other libraries. Documentation: https://albumentations.ai/docs/ Paper about the library: https://www.mdpi.com/2078-2489/11/2/125

asym-siam icon asym-siam

PyTorch implementation of Asymmetric Siamese (https://arxiv.org/abs/2204.00613)

byol icon byol

Bootstrap Your Own Latent: A New Approach to Self-Supervised Learning

camelyon icon camelyon

The solution to cameyon16 and camelyon17 challenge and also to your own WSI data project.

captcha_ocr icon captcha_ocr

2022DCIC-基于文本字符的交易验证码识别

clae icon clae

Implementation of Contrastive Learning with Adversarial Examples

clam icon clam

Data-efficient and weakly supervised computational pathology on whole slide images - Nature Biomedical Engineering

cld-unsupervisedlearning icon cld-unsupervisedlearning

[CVPR 2021] Pytorch implementation for "Unsupervised Feature Learning by Cross-Level Instance-Group Discrimination."

clsa icon clsa

official implemntation for "Contrastive Learning with Stronger Augmentations"

deepcluster icon deepcluster

Deep Clustering for Unsupervised Learning of Visual Features

dive-into-dl-pytorch icon dive-into-dl-pytorch

本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为PyTorch实现。

easyrobust icon easyrobust

EasyRobust: an Easy-to-use library for state-of-the-art Robust Computer Vision Research with PyTorch.

gcmae icon gcmae

PyTorch implementation of GCMAE

m3ae icon m3ae

[MICCAI-2022] This is the official implementation of Multi-Modal Masked Autoencoders for Medical Vision-and-Language Pre-Training.

moco icon moco

PyTorch implementation of MoCo: https://arxiv.org/abs/1911.05722

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