justloiter

justloiter's Stars

• 521xueweihan/GitHub520

  :kissing_heart: 让你“爱”上 GitHub，解决访问时图裂、加载慢的问题。（无需安装）

  Language:Python20.4k2.1k

• LiheYoung/UniMatch

  [CVPR 2023] Revisiting Weak-to-Strong Consistency in Semi-Supervised Semantic Segmentation

  Language:Python43259

• xiaoyao3302/CCVC

  [CVPR 2023] Conflict-Based Cross-View Consistency for Semi-Supervised Semantic Segmentation

  444

• Haochen-Wang409/U2PL

  [CVPR'22] Semi-Supervised Semantic Segmentation Using Unreliable Pseudo-Labels

  Language:Python42158

• microsoft/TokenMixers

  Language:Python12810

• tsb0601/EMP-SSL

  This repository contains the implementation for the paper "EMP-SSL: Towards Self-Supervised Learning in One Training Epoch."

  Language:Python22211

• vturrisi/solo-learn

  solo-learn: a library of self-supervised methods for visual representation learning powered by Pytorch Lightning

  Language:Python1.4k182

• pengzhiliang/MAE-pytorch

  Unofficial PyTorch implementation of Masked Autoencoders Are Scalable Vision Learners

  Language:Python2.6k346

• algorithmzuo/coding-for-great-offer

  大厂算法和数据结构刷题班

  Language:Java382301

• cvl-umass/semi-inat-2020

  Semi-Supervised Fine-Grained Recognition Challenge at FGVC7

  28

• microsoft/Semi-supervised-learning

  A Unified Semi-Supervised Learning Codebase (NeurIPS'22)

  Language:Python1.3k168

• CASIA-IVA-Lab/FastSAM

  Fast Segment Anything

  Language:Python7.1k671

• Jiahao000/MFM

  [ICLR 2023] Masked Frequency Modeling for Self-Supervised Visual Pre-Training

  Language:Python611

• amirhossein-kz/HiFormer

  HiFormer: Hierarchical Multi-scale Representations Using Transformers for Medical Image Segmentation (WACV 2023)

  Language:Jupyter Notebook11020

• lucidrains/vit-pytorch

  Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch

  Language:Python18.8k2.9k

• xx025/carrot

  Free ChatGPT Site List 这儿为你准备了众多免费好用的ChatGPT镜像站点

  16.8k1.4k

• google-research/tuning_playbook

  A playbook for systematically maximizing the performance of deep learning models.

  25.8k2.2k

• d2l-ai/d2l-en

  Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.

  Language:Python22.5k4.2k

• HiLab-git/PF-Net

  Code for PF-Net (Pulmonary Fibrosis Segmentation Network)

  Language:Python103

• hujie-frank/SENet

  Squeeze-and-Excitation Networks

  Language:Cuda3.3k834

• windingwind/zotero-pdf-translate

  Translate PDF, EPub, webpage, metadata, annotations, notes to the target language. Support 20+ translate services.

  Language:TypeScript6.5k315

• algorithmzuo/algorithmbasic2020

  算法和数据结构体系学习班

  Language:Java1.3k1k

• huggingface/pytorch-image-models

  The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (ViT), MobileNetV4, MobileNet-V3 & V2, RegNet, DPN, CSPNet, Swin Transformer, MaxViT, CoAtNet, ConvNeXt, and more

  Language:Python30.7k4.6k

• extreme-assistant/CVPR2024-Paper-Code-Interpretation

  cvpr2024/cvpr2023/cvpr2022/cvpr2021/cvpr2020/cvpr2019/cvpr2018/cvpr2017 论文/代码/解读/直播合集，极市团队整理

  12.3k2.3k

• facebookresearch/mae

  PyTorch implementation of MAE https//arxiv.org/abs/2111.06377

  Language:Python7k1.2k

• facebookresearch/segment-anything

  The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.

  Language:Jupyter Notebook45.5k5.4k

• HiLab-git/CA-Net

  Code for Comprehensive Attention Convolutional Neural Networks for Explainable Medical Image Segmentation.

  Language:Python16538

• MrGiovanni/UNetPlusPlus

  [IEEE TMI] Official Implementation for UNet++

  Language:Python2.2k536

• hsiangyuzhao/PANet

  Prior Attention Network for Multi-Lesion Segmentation in Medical Images

  Language:Python354

• rundherum/pymia

  pymia: A Python package for data handling and evaluation in deep learning-based medical image analysis

  Language:Python5713