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不定期更新，收集整理的github资源，有关CV各个方向（异常检测、语义分割、医学图像、Transformer、attention、yolo系列、论文视频解读）、算法、就业、论文、cv资源、摄影。以后也会不定期整理、增加相关内容。若有不足处，或是有好资源，也望不吝赐教。
算法：
103个python小项目
GitHub - Python-World/python-mini-projects: A collection of simple python mini projects to enhance your python skills
?
WeGongYi?公益培训报名小程序
GitHub - tanshuimaohenquejiao/WeGongYi: 公益培训报名小程序，提供给文化馆，图书馆，文体中心，青少年活动中心，少年宫等社会公益机构进行公益培训活动报名登记的小工具，前后端代码完整，主要功能包括公告通知，课堂风采，报名列表，报名登记，采用腾讯提供的小程序云开发解决方案，无须服务器和域名。
python常见小算法?
GitHub - peterlamar/python-cp-cheatsheet: Python3 interview prep cheatsheet and examples
《剑指 Offer》 解题代码，LeetBook《图解算法数据结构》配套代码?
GitHub - krahets/LeetCode-Book: 《剑指 Offer》 Python, Java, C++ 解题代码，LeetBook《图解算法数据结构》配套代码仓。
python
神奇的爬虫
GitHub - lixi5338619/magical_spider: 神奇的蜘蛛🕷，一个几乎适用于所有web端站点的采集方案
Python3面试准备与速查表
GitHub - peterlamar/python-cp-cheatsheet: Python3 interview prep cheatsheet and examples
How to learn modern RustRust 学习指南
https://github.com/joaocarvalhoopen/How_to_learn_modern_Rust
在线深度学习库
GitHub - online-ml/river-torch
PyTorch Metric LearningPyTorch 深度度量学习库
GitHub - KevinMusgrave/pytorch-metric-learning: The easiest way to use deep metric learning in your application. Modular, flexible, and extensible. Written in PyTorch.
PyTorch Metric Learning
System Design Questions系统设计问题集
GitHub - relogX/system-design-questions: Problem statements on System Design and Software Architecture as part of Arpit's System Design Masterclass
Interview Resources技术面试资源列表
?Leetcode-Style 面试、行为面试
https://github.com/nas5w/interview-resources
leetcode-curation-topica技术面试准备清单
GitHub - fterh/leetcode-curation-topical: Tech interview prep list
论文相关：
ICLR2023
ICLR 2023 Conference | OpenReview
医疗图像分割（代码&数据集）
GitHub - yhygao/CBIM-Medical-Image-Segmentation
CV系列项目、实例、说明
GitHub - microsoft/computervision-recipes: Best Practices, code samples, and documentation for Computer Vision.
CVPR2022自动驾驶（论文&代码）
GitHub - yolofeng/CVPR2022-Autonomous-Driving
弱监督语义分割（论文&代码）
GitHub - PengtaoJiang/Awesome-Weakly-Supervised-Semantic-Segmentation-Papers: Recent weakly supervised semantic segmentation paper
异常检测综述（论文&代码）
GitHub - GuansongPang/SOTA-Deep-Anomaly-Detection: List of implementation of SOTA deep anomaly detection methods
?ADBench: Anomaly Detection Benchmark
https://arxiv.org/abs/2206.09426
?GitHub - Minqi824/ADBench: Official Implement of "ADBench: Anomaly Detection Benchmark".
YOLO系列（含各种backbone、MLP、attention、head）
GitHub - iscyy/yoloair: 🔥🔥🔥YOLOv7, YOLOv5, YOLOv4, Transformer, YOLOX, YOLOR, YOLOv3 and Improved-YOLOv5... Support to improve backbone, head, loss, IoU, NMS and other modules
注意力机制系列
GitHub - xmu-xiaoma666/External-Attention-pytorch: 🍀 Pytorch implementation of various Attention Mechanisms, MLP, Re-parameter, Convolution, which is helpful to further understand papers.???
Transformer系列（论文&代码）
GitHub - GuanRunwei/Awesome-Vision-Transformer-Collection: Variants of Vision Transformer and its downstream tasks
3D Transformer系列（论文&代码）?
GitHub - lahoud/3d-vision-transformers: A list of 3D computer vision papers with Transformers
?Self-Supervised Representation Learning for Speech Processing(Interspeech 2022 Tutorial)面向语音处理的自监督表示学习
GitHub - WenjieDu/PyPOTS: A python toolbox/library for data mining on partially-observed time series, supporting tasks of forecasting/imputation/classification/clustering on incomplete multivariate time series with missing values. (google.com)
Awesome Video Instance Segmentation Papers视频实例分割相关文献列表
GitHub - QingZhong1996/Awesome-Video-Instance-Segmentation-Papers
Awesome Video Domain Adaptation视频域自适应相关文献资源列表
GitHub - xuyu0010/awesome-video-domain-adaptation: A comprehensive collection of awesome research and other items about video domain adaptation
Collaborative Perception协同感知相关文献列表
GitHub - Little-Podi/Collaborative_Perception: This repository is a paper digest of recent advances in collaborative / cooperative / multi-agent perception for V2I / V2V / V2X autonomous driving scenario.
Awesome Visual Diffusion Models视觉扩散模型相关大列表
GitHub - Xiefan-Guo/Awesome-Visual-Diffusion-Models: A collection of resources and papers on Visual Diffusion Models.
扩散模型综述?Diffusion Models
A Survey on Generative Diffusion Model
[2209.02646] A Survey on Generative Diffusion Model (arxiv.org)
GitHub - chq1155/A-Survey-on-Generative-Diffusion-Model
Diffusion Models: A Comprehensive Survey of Methods and Applications
https://arxiv.org/abs/2209.00796
GitHub - YangLing0818/Diffusion-Models-Papers-Survey-Taxonomy: Diffusion model papers, survey, and taxonomy
Awesome Stable-DiffusionStable Diffusion 模型相关资源大列表
GitHub - awesome-stable-diffusion/awesome-stable-diffusion: Curated list of awesome resources for the Stable Diffusion AI Model.
3DMM and 3D Face Reconstruction and Manipulation3D人脸重建与操作相关文献列表
https://github.com/AndrewChiyz/3DMM-and-3D-Face-reconstruction-and-manipulation
Awesome Fluid Dynamics流体动力学相关列表
https://github.com/lento234/awesome-fluid-dynamics
awesome-fluid-dynamics | A curated list of repositories related to fluid dynamics.
Awesome Inpainting Tech图像补全相关文献列表
https://github.com/zengyh1900/Awesome-Image-Inpainting
Contrastive Learning for Natural Language Processing对比学习自然语言处理 · 大列表
GitHub - ryanzhumich/Contrastive-Learning-NLP-Papers: Paper List for Contrastive Learning for Natural Language Processing
Graph Reinforcement Learning Papers图强化学习相关文献代码资源列表
GitHub - SunQingYun1996/Graph-Reinforcement-Learning-Papers: A curated list of graph reinforcement learning papers.
Representation Learning for Reinforcement Learning面向强化学习的表示学习相关文献列表
GitHub - fuyw/RepL4RL: Representation Learning for RL
Awesome Graph Transformer Papers?Graph Transformer相关论文大合辑
GitHub - ChandlerBang/awesome-graph-transformer: Papers about graph transformers.
Awesome Graph Neural Network Systems图神经网络(GNN)系统相关文献资源列表
GitHub - chwan1016/awesome-gnn-systems: A list of awesome GNN systems.
DetHub开源目标检测 / 实例分割实验中心
https://github.com/okotaku/dethub
论文写作：
Enhance Your English Writing英语写作强化宝典
GitHub - yzy1996/English-Writing: Enhance Your English Writing
各种写作指导推荐
GitHub - OpenMindClub/awesome-scholarly-productivity
博士申请攻略
GitHub - zhanglj37/Tutorial-on-PhD-Application: Tutorial on PhD Application
Track Assistant Professors and PhD students助理教授/博士生生存指南
GitHub - JunweiLiang/awesome_lists: Awesome Lists for Tenure-Track Assistant Professors and PhD students. (助理教授/博士生生存指南)
计算机相关各种方向路线图
GitHub - liuchong/awesome-roadmaps: A curated list of roadmaps.
资源：
深度学习论文解读
GitHub - mli/paper-reading: 深度学习经典、新论文逐段精读
Testing ML通过代码、数据、模型的测试创建可靠的机器学习模型
GitHub - GokuMohandas/testing-ml: Learn how to create reliable ML systems by testing code, data and models.
Testing Machine Learning Systems: Code, Data and Models - Made With ML
《通用视觉框架 OpenMMLab》 公开课视频与代码
GitHub - wangruohui/OpenMMLabCourse: OpenMMLab course index and materials
ML Recipe: 一本包含针对各种任务训练深度学习模型的分步说明的书
GitHub - bipinKrishnan/ml-recipe-book: A book containing step by step instructions to train deep learning models for a variety of tasks
RLcode白话强化学习
GitHub - louisnino/RLcode
你有一份强化学习线路图，请查收。(原题：看我如何一文从马可洛夫怼到DPPO) - 知乎 (zhihu.com)
S3PRL自监督语音预训练和表征学习工具包
GitHub - s3prl/s3prl: Self-Supervised Speech/Sound Pre-training and Representation Learning Toolkit
S3PRL 0.4.5 documentation
?Awesome Control Theory控制论相关资源列表
GitHub - A-make/awesome-control-theory: Awesome resources for learning control theory
Ethics Union Bibliography伦理相关资源列表
GitHub - acl-org/ethics-reading-list: A list of ethics related resources for researchers and practitioners of Natural Language Processing and Computational Linguistics
Deep Learning Examples深度学习实例集
GitHub - LambdaLabsML/examples: Deep Learning Examples
Deep Vision and Graphics深度视觉与图形·课程资料
聚焦计算机视觉和图形
GitHub - yandexdataschool/deep_vision_and_graphics: Course about deep learning for computer vision and graphics co-developed by YSDA and Skoltech.
Machine Learning Systems versus Machine Learning Models机器学习系统与机器学习模型
medium.com
The DBLP Discovery Dataset (D3)?DBLP 计算机科学学术文献与作者数据集
GitHub - jpwahle/d3-dataset: The official repository for the LREC'22 paper "D3: A Massive Dataset of Scholarly Metadata for Analyzing the State of Computer Science Research"
MATH 318 A: Advanced Linear Algebra Tools and Applications华盛顿大学·线性代数进阶工具与应用·课程
Math 318 Dept of Math, Univ of Washington
https://www.youtube.com/watch?v=R3IJWhzLzds&list=PLoxJTbDttvt4p6zPSy_0zURsJV1kDCqw1
Machine Learning for Intelligent Systems康奈尔大学 CS4780 / CS5780 · 智能系统机器学习 · 课程及资料
Course Materials | Machine Learning for Intelligent Systems
https://www.youtube.com/playlist?list=PLl8OlHZGYOQ7bkVbuRthEsaLr7bONzbXS
Applications of Deep Neural Networks with Keras深度神经网络应用(Keras)·可下载书籍
https://github.com/jeffheaton/t81_558_deep_learning
书籍PDF：https://arxiv.org/pdf/2009.05673.pdf
Neural Speech Synthesis?(Interspeech 2022 Tutorial)神经语音合成教程
『文本到语音(TTS)』和『语音转换(VC)』?
https://github.com/tts-tutorial/interspeech2022
Planning with Deep Neural Networks深度网络规划相关文献资源列表
https://github.com/ndrwmlnk/planning-with-deep-neural-networks-a-survey
Awesome Machine Unlearning机器学习相关资源大列表
GitHub - tamlhp/awesome-machine-unlearning: Awesome Machine Unlearning (A Survey of Machine Unlearning)
System Design Resources系统设计资源集
https://github.com/InterviewReady/system-design-resources
?tsai基于Pytorch & fastai的深度学习时序处理库
GitHub - SelfishGene/visual_taste_approximator: Visual Taste Approximator (VTA) is a very simple tool that helps anyone create an automatic replica of themselves that can approximate their own personal visual taste
tsai | tsai (timeseriesai.github.io)
SynapseML轻量大规模可扩展分布式机器学习库
为各种不同的机器学习任务（如文本分析、视觉、异常检测等）提供简单、可组合和分布式的API?
GitHub - microsoft/SynapseML: Simple and Distributed Machine Learning
SynapseML | SynapseML
GEEMLGoogle Earth Engine 机器学习包
GitHub - Geethen/geeml
geeml
Data Engineering for Machine Learning机器学习数据工程实战
MLOPs 课程?的一部分，旨在构建数据分析和机器学习应用的数据堆栈.?
GitHub - GokuMohandas/data-engineering: Construct a modern data stack and orchestration the workflows to create high quality data for analytics and ML applications.
Data Stack for Machine Learning - Made With ML
?Orchestration for Machine Learning - Made With ML
Awesome Panel LightningPanel+Lightning.ai 构建机器学习&深度学习应用程序
GitHub - MarcSkovMadsen/awesome-panel-lightning
PKU TANGENT NLP Tutorial北大 NLP 新手入门教程
GitHub - PKU-TANGENT/nlp-tutorial: NLP新手入门教程
The Mathematical Engineering of Deep Learning深度学习数学工程 · 电子书
The Mathematical Engineering of Deep Learning
A Gentle Introduction to Optimization优化导论·免费电子书
https://industri.fatek.unpatti.ac.id/wp-content/uploads/2019/03/116-A-Gentle-Introduction-to-Optimization-B.-Guenin-J.-K%C3%B6nemann-L.-Tun%C3%A7el-Edisi-1-2014.pdf
IE521 - Convex Optimization凸优化·课程资料
https://github.com/niaohe/Convex-Optimization-Course
Full Stack Deep Learning伯克利·全栈深度学习·(2022 免费课程)
Course 2022 - Full Stack Deep Learning
https://www.youtube.com/playlist?list=PL1T8fO7ArWleMMI8KPJ_5D5XSlovTW_Ur
OptFormer: Towards Universal Hyperparameter Optimization with Transformers基于 Transformers 的通用超参数优化
https://ai.googleblog.com/2022/08/optformer-towards-universal.html
摄影测量指南
GitHub - 摄影测量/摄影测量指南：摄影测量指南
工具
AutoClean自动化数据预处理/数据清洗工具包
GitHub - elisemercury/AutoClean: Python package for automated data preprocessing & cleaning.
Umi-OCR批量图片转文字工具(win10)
https://github.com/hiroi-sora/Umi-OCR
How To Start Open SourceGitHub 开源项目维护协作指南
GitHub - eryajf/HowToStartOpenSource: ?? GitHub开源项目维护协作指南
HowToStartOpenSource (eryajf.github.io)
Leetcode Anki card generator把LeetCode题目生成卡片的刷题神器
GitHub - prius/leetcode-anki: Anki cards generator for Leetcode
redframes用于机器学习和可视化的数据操纵库
GitHub - maxhumber/redframes: [re]ctangular[d]ata[frames]
yPOTS用于对部分观测时间序列进行数据挖掘 Python 工具箱/库
GitHub - WenjieDu/PyPOTS: A python toolbox/library for data mining on partially-observed time series, supporting tasks of forecasting/imputation/classification/clustering on incomplete multivariate time series with missing values.
rs-code-visualizer伪代码生成大幅可视化图
GitHub - sloganking/codevis: Turns your code into one large image
Visual Taste Approximator (VTA)?自画像工具，绘制像又不完全像的自己
GitHub - SelfishGene/visual_taste_approximator: Visual Taste Approximator (VTA) is a very simple tool that helps anyone create an automatic replica of themselves that can approximate their own personal visual taste
memlabE2E测试和分析框架
?一个E2E测试和分析框架，用于检查JavaScript的内存泄漏和优化
memlab
GitHub - facebook/memlab: A framework for finding JavaScript memory leaks and analyzing heap snapshots
Selective白盒特征选择库
支持分类和回归任务的无监督和有监督的选择方法
GitHub - fidelity/selective: Selective: Feature Selection Library
Azimutt实体关系图(ERD)可视化工具
GitHub - azimuttapp/azimutt: An Entity Relationship diagram (ERD) visualization tool, with various filters and inputs to help understand your database schema
Azimutt - Database explorer and analyzer
mp4grep用于转录和搜索音频/视频的命令行工具
https://github.com/o-oconnell/mp4grep
estela基于Kubernetes的弹性网页爬虫集群
GitHub - bitmakerla/estela: estela, an elastic web scraping cluster 🕸Overview - estela Documentation
?流媒体开发框架与平台
GitHub - apache/incubator-streampark: StreamPark, Make stream processing easier! easy-to-use streaming application development framework and operation platform
ZLMediaKit一个基于C++11的高性能运营级流媒体服务框架
GitHub - ZLMediaKit/ZLMediaKit: WebRTC/RTSP/RTMP/HTTP/HLS/HTTP-FLV/WebSocket-FLV/HTTP-TS/HTTP-fMP4/WebSocket-TS/WebSocket-fMP4/GB28181/SRT server and client framework based on C++11
JSeg基于 MMSegmentation 和 Jittor 的语义分割工具包
GitHub - Jittor/JSeg: JSeg is a Semantic segmentation toolbox based on MMSegmentation and Jittor
kxy-python提高机器学习工程师工作效率的工具包
https://github.com/kxytechnologies/kxy-python
KXY Technologies
Humre可读性更好的 Python 正则模块
https://github.com/asweigart/humre
PyDeepFakeDetDeepfake 换脸检测库
https://github.com/wangjk666/PyDeepFakeDet(复旦大学实验室)
EasyCVPyTorch 一站式计算机视觉工具箱
https://github.com/alibaba/EasyCV
MotionityWeb 界面的动图编辑器
https://github.com/alyssaxuu/motionity
OCRmyPDF为扫描 PDF 增加 OCR 功能
https://github.com/ocrmypdf/OCRmyPDF
OCRmyPDF documentation — ocrmypdf 14.0.1.dev5+g110c75cb documentation
XRLocalization可视化定位工具包和服务器
GitHub - openxrlab/xrlocalization: OpenXRLab Visual Localization Toolbox and Server
compose面向预测工程自动化的机器学习工具
GitHub - alteryx/compose: A machine learning tool for automated prediction engineering. It allows you to easily structure prediction problems and generate labels for supervised learning.
What is Compose? — Compose 0.9.0 documentation
XRNerf神经辐射场 (NeRF)工具包和基准测试
GitHub - openxrlab/xrnerf: OpenXRLab Neural Radiance Field (NeRF) Toolbox and Benchmark
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