Junyu99

Junyu99's Stars

• codecrafters-io/build-your-own-x

  Master programming by recreating your favorite technologies from scratch.

  Language:Markdown300k5.4k66928.2k

• Anduin2017/HowToCook

  程序员在家做饭方法指南。Programmer's guide about how to cook at home (Simplified Chinese only).

  Language:Dockerfile66.4k4016638.7k

• xingshaocheng/architect-awesome

  后端架构师技术图谱

  59.7k3.2k7117.8k

• isocpp/CppCoreGuidelines

  The C++ Core Guidelines are a set of tried-and-true guidelines, rules, and best practices about coding in C++

  Language:CSS42.5k2k1.2k5.4k

• google-research/google-research

  Google Research

  Language:Jupyter Notebook33.8k7511.2k7.8k

• open-mmlab/mmdetection

  OpenMMLab Detection Toolbox and Benchmark

  Language:Python29.1k3688.3k9.4k

• wangzheng0822/algo

  数据结构和算法必知必会的50个代码实现

  Language:Python22.9k8341257.1k

• spmallick/learnopencv

  Learn OpenCV : C++ and Python Examples

  Language:Jupyter Notebook21k88031811.6k

• kaixindelele/ChatPaper

  Use ChatGPT to summarize the arXiv papers. 全流程加速科研，利用chatgpt进行论文全文总结+专业翻译+润色+审稿+审稿回复

  Language:Python18.2k942171.9k

• qinguoyi/TinyWebServer

  :fire: Linux下C++轻量级WebServer服务器

  Language:C++16.4k892403.9k

• DeathKing/Learning-SICP

  MIT视频公开课《计算机程序的构造和解释》中文化项目及课程学习资料搜集。

  Language:Ruby11k663661.5k

• ultralytics/yolov3

  YOLOv3 in PyTorch > ONNX > CoreML > TFLite

  Language:Python10.2k1561.8k3.4k

• open-mmlab/mmsegmentation

  OpenMMLab Semantic Segmentation Toolbox and Benchmark.

  Language:Python8k522.4k2.6k

• alirezadir/Machine-Learning-Interviews

  This repo is meant to serve as a guide for Machine Learning/AI technical interviews.

  Language:Jupyter Notebook4.3k755776

• CVHub520/X-AnyLabeling

  Effortless data labeling with AI support from Segment Anything and other awesome models.

  Language:Python3.7k30599417

• open-mmlab/mmpretrain

  OpenMMLab Pre-training Toolbox and Benchmark

  Language:Python3.4k307791.1k

• Charmve/Surface-Defect-Detection

  📈 目前最大的工业缺陷检测数据库及论文集 Constantly summarizing open source dataset and critical papers in the field of surface defect research which are of great importance.

  Language:Python3k4518519

• hoverwinter/HIT-OSLab

  S - 哈工大《操作系统》实验

  Language:C2.1k340584

• wyhuai/DDNM

  [ICLR 2023 Oral] Zero-Shot Image Restoration Using Denoising Diffusion Null-Space Model

  Language:Python1.1k277379

• zixian2021/AI-interview-cards

  最完整的AI算法面试题目仓库，1000道，25个类目

  1k9286

• OFA-Sys/ONE-PEACE

  A general representation model across vision, audio, language modalities. Paper: ONE-PEACE: Exploring One General Representation Model Toward Unlimited Modalities

  Language:Python933135657

• caiyuanhao1998/MST

  A toolbox for spectral compressive imaging reconstruction including MST (CVPR 2022), CST (ECCV 2022), DAUHST (NeurIPS 2022), BiSCI (NeurIPS 2023), HDNet (CVPR 2022), MST++ (CVPRW 2022), etc.

  Language:Python60696570

• HVision-NKU/Conv2Former

  Language:Python145151011

• hustvl/SparseTrack

  Official PyTorch implementation of SparseTrack (the new version of code will come soon)

  Language:Python13273312

• dgilton/deep_equilibrium_inverse

  Code related to the paper "Deep Equilibrium Architectures for Inverse Problems in Imaging"

  Language:Python37453

• IndigoPurple/DEQSCI

  Python (PyTorch) implementation of the AAAI paper "Deep Equilibrium Models for Video Snapshot Compressive Imaging"

  Language:Python37334

• hustvl/SAUNet

  A Simple Adaptive Unfolding Network for Hyperspectral Image Reconstruction

  Language:Python31212

• ShawnDong98/RDLUF_MixS2

  The implementation for the paper "Residual Degradation Learning Unfolding Framework with Mixing Priors across Spectral and Spatial for Compressive Spectral Imaging"

  Language:Python23123

• hustvl/RND-SCI

  A Range-Null Space Decomposition Approach for Fast and Flexible Spectral Compressive Imaging

  Language:Python10300

• Jiamian-Wang/S2-transformer-HSI

  Language:Python4110