junjianli's repositories

dg_gpu_queuer

Gpu 任务排队

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AgileLightning

A deep learning framework for a more agile development process

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AICAS

AICAS

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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

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asym-siam

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

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BYOL

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

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captcha_ocr

2022DCIC-基于文本字符的交易验证码识别

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CLAM

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

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CLD-UnsupervisedLearning

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

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DeepClustering

Methods and Implements of Deep Clustering

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easyrobust

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

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GAIIC2022

GAIIC2022 初赛 Rank5 复赛Rank 20

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GAIIC2023

GAIIC2023

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gcmae

PyTorch implementation of GCMAE

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Jiangsu-seed

Jiangsu-seed

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M3AE

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

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Multilingual-CLIP

OpenAI CLIP text encoders for multiple languages!

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MyArxiv

MyArxiv

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NLP-Interview-Notes

该仓库主要记录 NLP 算法工程师相关的面试题

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nlp_paper_study

该仓库主要记录 NLP 算法工程师相关的顶会论文研读笔记

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open_clip

An open source implementation of CLIP.

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RES-Interview-Notes

该仓库主要记录 推荐系统 算法工程师相关的面试题

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SimCLR

PyTorch implementation of SimCLR: A Simple Framework for Contrastive Learning of Visual Representations by T. Chen et al.

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Source-Code-Notebook

关于一些经典论文源码的逐行中文笔记

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SSL_CR_Histo

Official code for "Self-Supervised driven Consistency Training for Annotation Efficient Histopathology Image Analysis" Published in Medical Image Analysis (MedIA) Journal, Oct, 2021.

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Twin-Contrastive-Learning

Code for the paper "Twin Contrastive Learning for Online Clustering" (IJCV 2022)

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ViT-pytorch

Pytorch reimplementation of the Vision Transformer (An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale)

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WBDC2022

WBDC2022

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