Jorwnpay

Jorwnpay's Stars

• zhengye1995/underwater-object-detection

  Kesci underwater object detection algorithm contest

  Language:Python20360

• AlvinAi96/underwater_detection

  Underwater Object Detection Kesci大赛项目：全国水下机器人大赛 - 水下目标检测算法赛

  135

• lucasjinreal/yolov7_d2

  🔥🔥🔥🔥 (Earlier YOLOv7 not official one) YOLO with Transformers and Instance Segmentation, with TensorRT acceleration! 🔥🔥🔥

  Language:Python3.1k481

• Tony607/voc2coco

  How to create custom COCO data set for object detection

  Language:Jupyter Notebook254130

• AnselCmy/ccf-deadlines

  ⏰ CCF recommendation conference Deadline Countdowns / Please star this project, thanks~

  Language:Vue1

• 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:Python31.7k4.7k

• 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:Python19.9k3k

• google-research/vision_transformer

  Language:Jupyter Notebook10.2k1.3k

• Jorwnpay/A-Long-Tailed-Survey

  本项目是 Deep Long-Tailed Learning: A Survey 文章的中译版

  Language:TeX432

• agrija9/ssl-sonar-images

  Code for our paper Self-supervised Learning for Sonar Image Classification [CVPR 2022]

  Language:Jupyter Notebook294

• rgeirhos/texture-vs-shape

  Pre-trained models, data, code & materials from the paper "ImageNet-trained CNNs are biased towards texture; increasing shape bias improves accuracy and robustness" (ICLR 2019 Oral)

  Language:R784101

• ViTAE-Transformer/ViTAE-Transformer-Remote-Sensing

  A comprehensive list [SAMRS@NeurIPS'23, RVSA@TGRS'22, RSP@TGRS'22] of our research works related to remote sensing, including papers, codes, and citations. Note: The repo for [TGRS'22] "An Empirical Study of Remote Sensing Pretraining" has been moved to: https://github.com/ViTAE-Transformer/RSP

  Language:TeX45153

• caj2pdf/caj2pdf

  Convert CAJ (China Academic Journals) files to PDF. 转换**知网 CAJ 格式文献为 PDF。佛系转换，成功与否，皆是玄学。

  Language:Python2.9k620

• jantic/DeOldify

  A Deep Learning based project for colorizing and restoring old images (and video!)

  Language:Python18k2.6k

• cxlisme/FPGA-proj

  FPGA project

  Language:VHDL19346

• ModelTC/United-Perception

  United Perception

  Language:Python42765

• syneart/pdf2eps

  Convert PDF to encapsulated PostScript

  Language:Shell3510

• crmoralesn/pocovid

  https://github.com/jannisborn/covid19_ultrasound.git

  Language:Jupyter Notebook1

• massquantity/Class-Imbalance

  《机器学习之类别不平衡问题》文章代码

  Language:Jupyter Notebook4522

• TingsongYu/PyTorch_Tutorial

  《Pytorch模型训练实用教程》中配套代码

  Language:Python7.5k1.7k

• yanyanSann/Long-Tailed-Classification-Leaderboard

  292

• amusi/CVPR2024-Papers-with-Code

  CVPR 2024 论文和开源项目合集

  17.9k2.6k

• megvii-research/BBN

  The official PyTorch implementation of paper BBN: Bilateral-Branch Network with Cumulative Learning for Long-Tailed Visual Recognition

  Language:Python658101

• google-deepmind/alphafold

  Open source code for AlphaFold.

  Language:Python12.4k2.2k

• rucv/SGNet

  Language:Python53

• yatengLG/Focal-Loss-Pytorch

  全中文注释.(The loss function of retinanet based on pytorch).(You can use it on one-stage detection task or classifical task, to solve data imbalance influence).用于one-stage目标检测算法,提升检测效果.你也可以在分类任务中使用该损失函数,解决数据不平衡问题.

  Language:Jupyter Notebook452113

• mvaldenegro/pretrained-models-sonar-images

  Pre-trained Models for Sonar Images releases and code.

  182

• ShusenTang/LeetCode

  LeetCode solutions with Chinese explanation & Summary of classic algorithms.

  38171

• ShusenTang/Deep-Learning-with-PyTorch-Chinese

  本仓库将PyTorch官方书籍《Deep learning with PyTorch》（基本摘录版）翻译成中文版并给出可运行的相关代码。

  Language:Jupyter Notebook1.1k245

• ShusenTang/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。

  Language:Jupyter Notebook18.2k5.4k