EverestRs

EverestRs's Stars

• HarisIqbal88/PlotNeuralNet

  Latex code for making neural networks diagrams

  Language:TeX22.1k2261222.9k

• AILab-CVC/YOLO-World

  [CVPR 2024] Real-Time Open-Vocabulary Object Detection

  Language:Python4.6k39450447

• huawei-noah/Efficient-AI-Backbones

  Efficient AI Backbones including GhostNet, TNT and MLP, developed by Huawei Noah's Ark Lab.

  Language:Python4k54267706

• TommyZihao/Train_Custom_Dataset

  标注自己的数据集，训练、评估、测试、部署自己的人工智能算法

  Language:Jupyter Notebook3.2k1725652

• Jongchan/attention-module

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

  Language:Python2.1k1950402

• 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:Python2k1260207

• ai-dawang/PlugNPlay-Modules

  Language:Python1.6k76139

• ZhugeKongan/torch-template-for-deep-learning

  Pytorch Implementations of large number classical backbone CNNs, data enhancement, torch loss, attention, visualization and some common algorithms.

  Language:Python1.1k92191

• doc-analysis/TableBank

  TableBank: A Benchmark Dataset for Table Detection and Recognition

  1k3744141

• facebookresearch/hiera

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

  Language:Python888183642

• DingXiaoH/RepLKNet-pytorch

  Scaling Up Your Kernels to 31x31: Revisiting Large Kernel Design in CNNs (CVPR 2022)

  Language:Python867105886

• AlibabaResearch/efficientteacher

  A Supervised and Semi-Supervised Object Detection Library for YOLO Series

  Language:Python83167147151

• apple/ml-mobileone

  This repository contains the official implementation of the research paper, "An Improved One millisecond Mobile Backbone".

  Language:Swift729172261

• LSH9832/edgeyolo

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

  Language:Python444115859

• ZhugeKongan/Attention-mechanism-implementation

  Self-attention、Non-local、SE、SK、CBAM、DANet

  Language:Python4393170

• ibm-aur-nlp/PubTabNet

  Language:Jupyter Notebook412282378

• 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 Notebook32041772

• Jiawei-Yang/Denoising-ViT

  This is the official code release for our work, Denoising Vision Transformers.

  Language:Python30517108

• yaoppeng/U-Net_v2

  Language:Python21422020

• ZHUANGHP/Analytic-continual-learning

  This repository will be posting analytic continual learning series, including Analytic Class-Incremental Learning (ACIL), Gaussian Kernel Embedded Analytic Learning (GKEAL), Dual-Stream Analytic Learning (DS-AL), etc.

  Language:Python2024817

• ChengpengChen/RepGhost

  RepGhost: A Hardware-Efficient Ghost Module via Re-parameterization

  Language:Python17031417

• 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:Python164296

• tommyip/mamba2-minimal

  Minimal Mamba-2 implementation in PyTorch

  Language:Python1262213

• apple/ml-autofocusformer

  This is an official implementation for "AutoFocusFormer: Image Segmentation off the Grid".

  Language:Python1141009

• andy123t/latex-templates

  Collection of LaTeX templates

  Language:TeX581011

• 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.

  19243

• Adam123wu/Edge-YOLO

  Edge YOLO paper

  Language:Python11113

• lzk9508/DaFIR

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

  Language:Python9210

• lxj-drifter/UIOU_files

  Language:Python81

• 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:Python7101