RipC-me

RipC-me's Stars

• donnemartin/system-design-primer

  Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.

  Language:Python285k6.6k31647.5k

• linyacool/WebServer

  A C++ High Performance Web Server

  Language:C++7.8k761482.1k

• 0voice/cpp_new_features

  2021年最新整理， C++ 学习资料，含C++ 11 / 14 / 17 / 20 / 23 新特性、入门教程、推荐书籍、优质文章、学习笔记、教学视频等

  Language:C++5.3k89111.1k

• sylar-yin/sylar

  C++高性能分布式服务器框架,webserver,websocket server,自定义tcp_server（包含日志模块，配置模块，线程模块，协程模块，协程调度模块，io协程调度模块，hook模块，socket模块，bytearray序列化，http模块，TcpServer模块，Websocket模块，Https模块等, Smtp邮件模块, MySQL, SQLite3, ORM,Redis,Zookeeper)

  Language:C++4.2k7529988

• cmu-db/bustub

  The BusTub Relational Database Management System (Educational)

  Language:C++4.2k472351.8k

• zhoubolei/bolei_awesome_posters

  CVPR and NeurIPS poster examples and templates. May we have in-person poster session soon!

  1.5k100144

• Avnsx/fansly-downloader

  Easy to use fansly.com content downloading tool. Written in python, but ships as a standalone Executable App for Windows too. Enjoy your Fansly content offline anytime, anywhere in the highest possible content resolution! Fully customizable to download in bulk or single: photos, videos & audio from timeline, messages, collection & specific posts 👍

  Language:Python1.3k378568

• Candy-CY/Hyperspectral-Image-Classification-Models

  收录及复现的高光谱遥感图像分类模型

  Language:Python68631085

• lhoyer/MIC

  [CVPR23] Official Implementation of MIC: Masked Image Consistency for Context-Enhanced Domain Adaptation

  Language:Python27338240

• raminnakhli/Decoupled-Contrastive-Learning

  This repository is an implementation for the loss function proposed in https://arxiv.org/pdf/2110.06848.pdf.

  Language:Python11211211

• CuthbertCai/pytorch_DAN

  An implementation of Deep Adaptation Network with pytorch

  Language:Python1095722

• xiaoachen98/DALN

  [CVPR2022] Official implementation of DALN.

  Language:Python81302

• weijunji/xv6-6.S081

  Lab of 6.S081 / Fall 2020

  783122

• val-iisc/SDAT

  [ICML 2022]Source code for "A Closer Look at Smoothness in Domain Adversarial Training",

  Language:Python69141212

• lijin118/CGDM

  Codes for "Cross-Domain Gradient Discrepancy Minimization for Unsupervised Domain Adaptation" in CVPR 2021

  Language:Python674614

• NaJaeMin92/FixBi

  Official code for the CVPR 2021 paper "FixBi: Bridging Domain Spaces for Unsupervised Domain Adaptation"

  Language:Python6521611

• qzhang95/HSID-CNN

  Q. Yuan, Q. Zhang, J. Li, H. Shen, and L. Zhang, "Hyperspectral Image Denoising Employing a Spatial-Spectral Deep Residual Convolutional Neural Network," IEEE TGRS, 2019.

  Language:MATLAB604425

• thuml/Versatile-Domain-Adaptation

  Code Release for "Minimum Class Confusion for Versatile Domain Adaptation"(ECCV2020)

  Language:Python545211

• Li-ZK/CLDA-2022

  Confident Learning-Based Domain Adaptation for Hyperspectral Image Classification(DOI: 10.1109/TGRS.2022.3166817)

  Language:Python27234

• summitgao/MAFNet

  Multi-scale Adaptive Fusion Network for Hyperspectral Image Denoising, IEEE JSTARS 2023

  Language:Python20211

• Huxiaowan/HDNet

  "HDNet: High-resolution Dual-domain Learning for Spectral Compressive Imaging" (CVPR 2022)

  Language:Python19202

• Li-ZK/FSCF-SSL-2023

  Language:Python14120

• imzhuhl/hsid-cnn-pytorch

  PyTorch version of HSID-CNN. Original paper: Q. Yuan, Q. Zhang, J. Li, H. Shen, and L. Zhang, "Hyperspectral Image Denoising Employing a Spatial-Spectral Deep Residual Convolutional Neural Network", IEEE TGRS, 2019.

  Language:Python11121

• liucxi04/luwu1.0

  一个高性能高并发网络服务器框架

  Language:C++10102

• haydenhs/HyperSR

  PyTorch Implementation of Paper 'Hyperspectral Image Super-Resolution Using Multi-scale Feature Pyramid Network' (IFTC2019)

  Language:Python8101

• orhan-t/SM-CNN

  Language:Python8231

• leeguandong/DGCNet-for-HSI

  paper：DGCNet: An Efficient 3D-Densenet based on Dynamic Group Convolution for Hyperspectral Remote Sensing Image Classification；Spatial-Spectral Hyperspectral Classification based on Learnable 3D Group Convolution

  Language:Python7203

• HENULWY/STBDIP

  Language:Python4101

• Long-Kai/ADV_CE

  Source code for paper "Improving Task-Specific Generalization in Few-Shot Learning via Adaptive Vicinal Risk Minimization"

  Language:Python4100

• TL-UESTC/DFCM

  The PyTorch implementation of Uneven Bi-Classifier Learning for Domain Adaptation

  Language:Python4101