tesimeiyoulaa

tesimeiyoulaa's Stars

• ashishpatel26/Tools-to-Design-or-Visualize-Architecture-of-Neural-Network

  Tools to Design or Visualize Architecture of Neural Network

  4.5k576

• NVlabs/stylegan

  StyleGAN - Official TensorFlow Implementation

  Language:Python14.2k3.2k

• firewaterfire/HKDnet

  Paper Title: Heterogeneous Knowledge Distillation for Simultaneous Infrared-Visible Image Fusion and Super-Resolution

  Language:Python21

• GuYuanjie/Deep-Retinex-fusion

  A Dataset-free Self-supervised Disentangled Learning Method for Adaptive Infrared and Visible Images Super-resolution Fusion

  Language:Python201

• c-yn/FSNet

  [TPAMI] Image Restoration via Frequency Selection

  Language:Python574

• SLDGroup/EMCAD

  Language:Python1164

• cmliu/edgetunnel

  在原版的基础上修改了显示 VLESS 配置信息转换为订阅内容。使用该脚本，你可以方便地将 VLESS 配置信息使用在线配置转换到 Clash 或 Singbox 等工具中。

  Language:JavaScript15.5k15k

• PSRben/FusionMamba

  Code for the paper: "FusionMamba: Efficient Image Fusion with State Space Model", 2024.

  Language:Python663

• we0091234/crnn_plate_recognition

  crnn chinese_plate_recognition

  Language:Python30761

• Sierkinhane/CRNN_Chinese_Characters_Rec

  (CRNN) Chinese Characters Recognition.

  Language:Python1.8k541

• deepcam-cn/yolov5-face

  YOLO5Face: Why Reinventing a Face Detector (https://arxiv.org/abs/2105.12931) ECCV Workshops 2022)

  Language:Python2.1k503

• tusen-ai/MV2D

  Code for "Object as Query: Lifting any 2D Object Detector to 3D Detection"

  Language:Python9210

• hijiangtao/resume

  个人中文简历 Latex 源码 https://hijiangtao.github.io/

  Language:TeX1.9k553

• we0091234/Chinese_license_plate_detection_recognition

  yolov5 车牌检测 车牌识别 中文车牌识别 检测 支持12种中文车牌 支持双层车牌

  Language:Python1.4k226

• liuruoze/EasyPR

  (CGCSTCD'2017) An easy, flexible, and accurate plate recognition project for Chinese licenses in unconstrained situations. CGCSTCD = China Graduate Contest on Smart-city Technology and Creative Design

  Language:C++6.4k2.5k

• szad670401/HyperLPR

  基于深度学习高性能中文车牌识别 High Performance Chinese License Plate Recognition Framework.

  Language:C++5.8k2k

• Linfeng-Tang/SeAFusion

  The code of " Image fusion in the loop of high-level vision tasks: A semantic-aware real-time infrared and visible image fusion network"

  Language:Python21137

• Linfeng-Tang/PSFusion

  This is official Pytorch implementation of "Rethinking the necessity of image fusion in high-level vision tasks: A practical infrared and visible image fusion network based on progressive semantic injection and scene fidelity"

  Language:Python1375

• open-mmlab/mmselfsup

  OpenMMLab Self-Supervised Learning Toolbox and Benchmark

  Language:Python3.2k432

• sail-sg/volo

  VOLO: Vision Outlooker for Visual Recognition

  Language:Jupyter Notebook93694

• cecret3350/DEA-Net

  [IEEE TIP 2024] DEA-Net: Single image dehazing based on detail-enhanced convolution and content-guided attention

  Language:Python23611

• rami0205/RAMiT

  Reciprocal Attention Mixing Transformer for Lightweight Image Restoration (CVPR 2024 Workshop)

  Language:Python272

• AIFengheshu/Plug-play-modules

  AI人工智能、深度学习领域，2024年全网最全即插即用模块，包含各种卷积变种、最新注意力机制、特征融合模块、上下采样模块，持续更新中......

  Language:Python15914

• zerotier/ZeroTierOne

  A Smart Ethernet Switch for Earth

  Language:C++14.6k1.7k

• 3587jjh/PCSR

  Accelerating Image Super-Resolution Networks with Pixel-Level Classification (ECCV 2024)

  Language:Python482

• f/awesome-chatgpt-prompts

  This repo includes ChatGPT prompt curation to use ChatGPT better.

  Language:HTML114k15.5k

• ai-boost/awesome-prompts

  Curated list of chatgpt prompts from the top-rated GPTs in the GPTs Store. Prompt Engineering, prompt attack & prompt protect. Advanced Prompt Engineering papers.

  5.4k495

• Lihui-Chen/Awesome-Pansharpening

  This repository collects pan-sharpening methods, codes, and datasets.

  10614

• lutzroeder/netron

  Visualizer for neural network, deep learning and machine learning models

  Language:JavaScript28.5k2.8k

• XavierJiezou/Pansharpening

  Deep learning for pansharpening in remote sensing

  Language:Python61