EverestRs

EverestRs's Stars

• yunjey/pytorch-tutorial

  PyTorch Tutorial for Deep Learning Researchers

  Language:Python30.5k6251798.1k

• xmu-xiaoma666/External-Attention-pytorch

  🍀 Pytorch implementation of various Attention Mechanisms, MLP, Re-parameter, Convolution, which is helpful to further understand papers.⭐⭐⭐

  Language:Python11.6k103831.9k

• ai-dawang/PlugNPlay-Modules

  Language:Python2.7k76231

• soumith/convnet-benchmarks

  Easy benchmarking of all publicly accessible implementations of convnets

  Language:Python2.7k28777577

• Jongchan/attention-module

  Official PyTorch code for "BAM: Bottleneck Attention Module (BMVC2018)" and "CBAM: Convolutional Block Attention Module (ECCV2018)"

  Language:Python2.1k1950401

• frgfm/torch-cam

  Class activation maps for your PyTorch models (CAM, Grad-CAM, Grad-CAM++, Smooth Grad-CAM++, Score-CAM, SS-CAM, IS-CAM, XGrad-CAM, Layer-CAM)

  Language:Python2.1k1260211

• facebookresearch/hiera

  Hiera: A fast, powerful, and simple hierarchical vision transformer.

  Language:Python936173746

• HRNet/Lite-HRNet

  This is an official pytorch implementation of Lite-HRNet: A Lightweight High-Resolution Network.

  Language:Python8461994127

• HRNet/HRFormer

  [ NeurIPS2021] This is an official implementation of our paper "HRFormer: High-Resolution Transformer for Dense Prediction".

  Language:Python498143261

• hellozhuo/pidinet

  Code for the ICCV 2021 paper "Pixel Difference Networks for Efficient Edge Detection" (Oral).

  Language:Python481115972

• LSH9832/edgeyolo

  an edge-real-time anchor-free object detector with decent performance

  Language:Python458115961

• YaoleiQi/DSCNet

  Pytorch Implement of Dynamic Snake Convolution (ICCV2023)

  Language:Python44065639

• ibm-aur-nlp/PubTabNet

  Language:Jupyter Notebook420282381

• jainammm/TableNet

  Unofficial implementation of "TableNet: Deep Learning model for end-to-end Table detection and Tabular data extraction from Scanned Document Images"

  Language:Jupyter Notebook32051773

• Human9000/nd-Mamba2-torch

  Only implemented through torch: "bi - mamba2" , "vision- mamba2 -torch". support 1d/2d/3d/nd and support export by jit.script/onnx;

  Language:Python2312189

• yaoppeng/U-Net_v2

  Language:Python22222021

• cndplab-founder/ICDAR2019_cTDaR

  The ICDAR 2019 cTDaR is to evaluate the performance of methods for table detection (TRACK A) and table recognition (TRACK B). For the first track, document images containing one or several tables are provided. For TRACK B two subtracks exist: the first subtrack (B.1) provides the table region. Thus, only the table structure recognition must be performed. The second subtrack (B.2) provides no a-priori information. This means, the table region and table structure detection has to be done.

  1698767

• tommyip/mamba2-minimal

  Minimal Mamba-2 implementation in PyTorch

  Language:Python1552214

• hellozhuo/dgc

  Dynamic Group Convolution for Accelerating Convolutional Neural Networks (ECCV 2020)

  Language:Python12741320

• embediot/Embedded-IoT-Project

  这是一个嵌入式物联网开源项目。以一个无线传感控制网络项目为实际案例，开源了一些无线控制模块和传感器模块。

  1048042

• andy123t/latex-templates

  Collection of LaTeX templates

  Language:TeX681014

• FutureRising007/Table_Structure_Recognition

  Table Structure Recognition

  63403

• CupidJay/Tobias

  official pytorch implementation of Tobias: A random CNN sees objects and its applications in self-supervised learning.

  Language:Python28121

• songwenshuai/osal

  TI OSAL on Visual Studio

  Language:C223112

• ying-fu/LODDataset

  This is Low-light Object Detection (LOD) dataset of Crafting Object Detection in Very Low Light in BMVC(British Machine Vision Conference) 2021, by Yang Hong, Kaixuan Wei, Linwei Chen, and Ying Fu.

  18243

• jiangnanboy/table_structure_recognition

  利用Swin-Unet(Swin Transformer Unet)实现对文档图片里表格结构的识别，Swin-unet (Swin Transformer Unet) is used to identify the document table structure

  Language:Python15230

• lxj-drifter/UIOU_files

  Language:Python111

• hellozhuo/msgc

  Source code of our TNNLS paper "Boosting Convolutional Neural Networks with Middle Spectrum Grouped Convolution"

  Language:Python10320

• lzk9508/DaFIR

  The official code for "DaFIR: Distortion-Aware Representation Learning for Fisheye Image Rectification", TCSVT, 2023.

  Language:Python9220

• Human9000/InnovativeStructure

  深度学习的好用结构，可以帮忙设计相关结构，欢迎在问题中留言

  Language:Python8101