{"id":76272,"url":"https://github.com/youssefhosni/awesome-ai-data-github-repos","name":"awesome-ai-data-github-repos","description":"A collection of the most important Github repos for ML, AI \u0026 Data science practitioners ","projects_count":114,"last_synced_at":"2026-09-29T12:00:23.718Z","repository":{"id":165423545,"uuid":"638058529","full_name":"youssefHosni/Awesome-AI-Data-GitHub-Repos","owner":"youssefHosni","description":"A collection of the most important Github repos for ML, AI \u0026 Data science practitioners ","archived":false,"fork":false,"pushed_at":"2024-12-24T12:08:02.000Z","size":1707,"stargazers_count":1019,"open_issues_count":3,"forks_count":230,"subscribers_count":20,"default_branch":"main","last_synced_at":"2026-09-25T18:51:26.293Z","etag":null,"topics":[],"latest_commit_sha":null,"homepage":null,"language":null,"has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"mit","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/youssefHosni.png","metadata":{"files":{"readme":"readme.md","changelog":null,"contributing":null,"funding":null,"license":"LICENSE","code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null}},"created_at":"2023-05-09T02:02:22.000Z","updated_at":"2026-09-25T09:05:59.000Z","dependencies_parsed_at":null,"dependency_job_id":"3581cb98-9900-4279-9a7a-f79bd1317f80","html_url":"https://github.com/youssefHosni/Awesome-AI-Data-GitHub-Repos","commit_stats":{"total_commits":100,"total_committers":4,"mean_commits":25.0,"dds":"0.030000000000000027","last_synced_commit":"f5a25240765858fdca0c103c3f67488e393f54a9"},"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/youssefHosni/Awesome-AI-Data-GitHub-Repos","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/youssefHosni%2FAwesome-AI-Data-GitHub-Repos","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/youssefHosni%2FAwesome-AI-Data-GitHub-Repos/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/youssefHosni%2FAwesome-AI-Data-GitHub-Repos/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/youssefHosni%2FAwesome-AI-Data-GitHub-Repos/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/youssefHosni","download_url":"https://codeload.github.com/youssefHosni/Awesome-AI-Data-GitHub-Repos/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/youssefHosni%2FAwesome-AI-Data-GitHub-Repos/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":341301770,"owners_count":37826562,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2026-08-22T15:14:58.755Z","status":"online","status_checked_at":"2026-09-29T02:00:06.972Z","response_time":187,"last_error":null,"robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":true,"can_crawl_api":true,"host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"created_at":"2024-11-07T00:38:11.956Z","updated_at":"2026-09-29T12:00:23.718Z","primary_language":"Jupyter Notebook","list_of_lists":false,"displayable":true,"categories":["Data Science ##","Machine Learning ##","Computer Vision ##","Data Engineering ##","Machine Learning Engineering Operations (MLOps) ##","Statistics ##","SQL \u0026 Database ##","Large Language Models ##","Natural Language Processing ##","Machine Learning Projects ##","Table of Contents:"],"sub_categories":[],"readme":"# Awesome AI \u0026 Data GitHub-Repos [![Awesome](https://awesome.re/badge.svg)](https://awesome.re)\nA curated list of the most essential GitHub repos that cover the AI \u0026 ML landscape. If you like to add or update projects, feel free to open an issue or submit a pull request. Contributions are very welcome!\n\n\n[![GitHub license](https://img.shields.io/github/license/youssefHosni/Awesome-ML-GitHub-Repos.svg)](https://github.com/youssefHosni/Awesome-ML-GitHub-Repos/blob/master/LICENSE)\n[![GitHub contributors](https://img.shields.io/github/contributors/youssefHosni/Awesome-ML-GitHub-Repos.svg)](https://GitHub.com/youssefHosni/Awesome-ML-GitHub-Repos/graphs/contributors/)\n[![GitHub issues](https://img.shields.io/github/issues/youssefHosni/Awesome-ML-GitHub-Repos.svg)](https://GitHub.com/youssefHosni/Awesome-ML-GitHub-Repos/issues/)\n[![GitHub pull-requests](https://img.shields.io/github/issues-pr/youssefHosni/Awesome-ML-GitHub-Repos.svg)](https://GitHub.com/youssefHosni/Awesome-ML-GitHub-Repos/pulls/)\n[![PRs Welcome](https://img.shields.io/badge/PRs-welcome-brightgreen.svg?style=flat-square)](http://makeapullrequest.com)\n\n[![GitHub watchers](https://img.shields.io/github/watchers/youssefHosni/Awesome-ML-GitHub-Repos.svg?style=social\u0026label=Watch)](https://GitHub.com/youssefHosni/Awesome-ML-GitHub-Repos/watchers/)\n[![GitHub forks](https://img.shields.io/github/forks/youssefHosni/Awesome-ML-GitHub-Repos.svg?style=social\u0026label=Fork)](https://GitHub.com/youssefHosni/Awesome-ML-GitHub-Repos/network/)\n[![GitHub stars](https://img.shields.io/github/stars/youssefHosni/Awesome-ML-GitHub-Repos.svg?style=social\u0026label=Star)](https://GitHub.com/youssefHosni/Awesome-ML-GitHub-Repos/stargazers/)\n\n[![Substack](https://img.shields.io/badge/Substack-%23006f5c.svg?style=for-the-badge\u0026logo=substack\u0026logoColor=FF6719)](https://youssefh.substack.com/)\n[![Medium](https://img.shields.io/badge/Medium-12100E?style=for-the-badge\u0026logo=medium\u0026logoColor=white)](https://medium.com/@yousefhosni)\n[![Kaggle](https://img.shields.io/badge/Kaggle-035a7d?style=for-the-badge\u0026logo=kaggle\u0026logoColor=white)](https://www.kaggle.com/youssef19)\n[![YouTube](https://img.shields.io/badge/YouTube-%23FF0000.svg?style=for-the-badge\u0026logo=YouTube\u0026logoColor=white)](https://www.youtube.com/channel/UCeEcSgRzYFuVt-2Yk1ULdhQ)\n\n\n![alt text](https://github.com/youssefHosni/Awesome-ML-GitHub-Repos/blob/main/images/Awosme%20ML%20GitHub%20Repos.png)\n\n## Table of Contents:\n* [Natural Language Processing (NLP)](https://github.com/youssefHosni/Awesome-ML-GitHub-Repos/blob/main/readme.md#:~:text=Data%20Engineering-,Natural%20Language%20Processing,-nlp%2Dtutorial%3A%20nlp)\n* [Large Language Models(LLM)](https://github.com/youssefHosni/Awesome-ML-GitHub-Repos/blob/main/readme.md#:~:text=lines%20of%20code.-,Large%20Language%20Models,-Open%20LLMs%3A%20List)\n* [Computer Vision](https://github.com/youssefHosni/Awesome-ML-GitHub-Repos/blob/main/readme.md#:~:text=LLMs%20through%20composability-,Computer%20Vision,-Computer%20Vision%20Tutorials)\n* [Data Science](https://github.com/youssefHosni/Awesome-ML-GitHub-Repos/blob/main/readme.md#:~:text=based%20CV%20works-,Data%20Science,-Data%20Science%20for)\n* [Machine Learning](https://github.com/youssefHosni/Awesome-ML-GitHub-Repos/blob/main/readme.md#:~:text=Interview%20Questions%20Answers-,Machine%20Learning,-Best%2Dof%20Machine)\n* [Machine Learning Projects](https://github.com/youssefHosni/Awesome-AI-Data-GitHub-Repos/blob/main/readme.md#:~:text=Machine%20Learning%20Books-,Machine%20Learning%20Projects,-Orca%20calls%20Classifier)\n* [Machine Learning Engineerings Operations (MLOps)](https://github.com/youssefHosni/Awesome-ML-GitHub-Repos/blob/main/readme.md#:~:text=Machine%20Learning%20Interviews-,Machine%20Learning%20Engineerings%20Operations%20(MLOps),-MLOps%2DBasics)\n* [Data Engineering](https://github.com/youssefHosni/Awesome-ML-GitHub-Repos/blob/main/readme.md#:~:text=MLOps%20Course-,Data%20Engineering,-Data%20Engineering%20Zoomcamp)\n* [SQL \u0026 Database](https://github.com/youssefHosni/Awesome-AI-Data-GitHub-Repos/blob/main/readme.md#:~:text=Engineering%20Interview%20Questions-,SQL%20%26%20Database,-SQL%20101%20by)\n* [Statistics](https://github.com/youssefHosni/Awesome-AI-Data-GitHub-Repos#:~:text=Scientists%20by%20gvwilson-,Statistics,-Practical%20Statistics%20for)\n\n## Natural Language Processing ##\n![alt text](https://github.com/youssefHosni/Awesome-ML-GitHub-Repos/blob/main/images/NLP.jpg)\n\n* [nlp-tutorial](https://github.com/graykode/nlp-tutorial): nlp-tutorial is a tutorial for who is studying NLP(Natural Language Processing) using Pytorch. Most NLP models were implemented with less than 100 lines of code.\n\n## Large Language Models ##\n![alt text](https://github.com/youssefHosni/Awesome-ML-GitHub-Repos/blob/main/images/LLM.png)\n* [LLMs Practical Guide: The Practical Guides for Large Language Models](https://github.com/Mooler0410/LLMsPracticalGuide)\n* [LLM Survey: A collection of papers and resources related to Large Language Models](https://github.com/RUCAIBox/LLMSurvey)\n* [Open LLMs: List of LLMs that are all licensed for commercial](https://github.com/eugeneyan/open-llms)\n* [Awesome LLM: Curated list of papers about large language models, especially relating to ChatGPT](https://github.com/Hannibal046/Awesome-LLM)\n* [Awesome Decentralized LLM: Collection of LLM resources that can be used to build products you can \"own\" or to perform reproducible research](https://github.com/imaurer/awesome-decentralized-llm)\n* [LangChain: Building applications with LLMs through composability](https://github.com/hwchase17/langchain)\n* [Awesome LangChain: Curated list of tools and projects using LangChain](https://github.com/kyrolabs/awesome-langchain)\n* [Awesome-Graph-LLM: A collection of AWESOME things about Graph-Related Large Language Models (LLMs).](https://github.com/XiaoxinHe/Awesome-Graph-LLM)\n* [DemoGPT: Auto Gen-AI App Generator with the Power of Llama 2](https://github.com/melih-unsal/DemoGPT)\n* [OpenLLM: An open platform for operating large language models (LLMs) in production](https://github.com/bentoml/OpenLLM)\n* [LLM Zoo: democratizing ChatGPT](https://github.com/FreedomIntelligence/LLMZoo)\n* [VectorDB-recipes](https://github.com/lancedb/vectordb-recipes)\n* [Awesome GPT Prompt Engineering: A curated list of awesome resources, tools, and other shiny things for GPT prompt engineering](https://github.com/snwfdhmp/awesome-gpt-prompt-engineering)\n* [Prompt Engineering Guide: ](https://github.com/dair-ai/Prompt-Engineering-Guide)\n* [LLM Course](https://github.com/mlabonne/llm-course)\n\n## Computer Vision ## \n![alt text](https://github.com/youssefHosni/Awesome-ML-GitHub-Repos/blob/main/images/Computer%20Vision.png)\n* [Awesome Computer Vision: A curated list of awesome computer vision resources](https://github.com/jbhuang0604/awesome-computer-vision)\n* [Computer Vision Tutorials by Roboflow](https://github.com/roboflow/notebooks)\n* [Transformer in Vision: paper list of some recent Transformer-based CV works](https://github.com/Yangzhangcst/Transformer-in-Computer-Vision)\n* [Awesome-Referring-Image-Segmentation: A collection of referring image segmentation papers and datasets](https://github.com/MarkMoHR/Awesome-Referring-Image-Segmentation)\n* [awesome-vision-language-pretraining-papers: Recent Advances in Vision and Language PreTrained Models (VL-PTMs)](https://github.com/yuewang-cuhk/awesome-vision-language-pretraining-papers)\n* [Awesome Vision-and-Language: A curated list of awesome vision and language resources,](https://github.com/sangminwoo/awesome-vision-and-language)\n* [Awesome-Temporal-Action-Detection-Temporal-Action-Proposal-Generation](https://github.com/zhenyingfang/Awesome-Temporal-Action-Detection-Temporal-Action-Proposal-Generation)\n* [Awesome-Referring-Image-Segmentation: A collection of referring image segmentation papers and datasets.](https://github.com/MarkMoHR/Awesome-Referring-Image-Segmentation)\n* [Awesome Masked Autoencoders: A collection of literature after or concurrent with Masked Autoencoder (MAE) ](https://github.com/EdisonLeeeee/Awesome-Masked-Autoencoders)\n* [Awesome Visual-Transformer: Collection of some Transformer with Computer-Vision (CV) papers](https://github.com/dk-liang/Awesome-Visual-Transformer)\n* [Transformer-Based Visual Segmentation: A Survey](https://github.com/lxtGH/Awesome-Segmentation-With-Transformer)\n* [Awesome-Segmentation-With-Transformer](https://github.com/lxtGH/Awesome-Segmentation-With-Transformer)\n* [CVPR 2o23 Paper with Code](https://github.com/amusi/CVPR2023-Papers-with-Code)\n* [Awesome Deepfakes Detection](https://github.com/Daisy-Zhang/Awesome-Deepfakes-Detection)\n* [Weekly-Top-Computer-Vision-Papers](https://github.com/youssefHosni/Weekly-Top-Computer-Vision-Papers)\n\n## Data Science ##\n![alt text](https://github.com/youssefHosni/Awesome-ML-GitHub-Repos/blob/main/images/Data%20Science.png)\n\n* [Data Science for Beginners - A Curriculum](https://github.com/microsoft/Data-Science-For-Beginners)\n* [Data Science Resources](https://github.com/jonathan-bower/DataScienceResources)\n* [freeCodeCamp.org's open-source codebase and curriculum](https://github.com/freeCodeCamp/freeCodeCamp)\n* [List of Data Science/Big Data Resources](https://github.com/chaconnewu/free-data-science-books)\n* [Open Source Society University: Path to a free self-taught Education in Data Science](https://github.com/ossu/data-science)\n* [AWESOME DATA SCIENCE: An open-source Data Science repository to learn and apply towards solving real-world problems.](https://github.com/academic/awesome-datascience)\n* [Data Science ALL CHEAT SHEET](https://github.com/yash42828/Data-Science--All-Cheat-Sheet)\n* [Data Science End-to-End Projects](https://github.com/veb-101/Data-Science-Projects)\n* [Data Analysis Projects](https://github.com/arjunmann73/Data-Analytics-Projects)\n* [Data Science Interview Resources](https://github.com/rbhatia46/Data-Science-Interview-Resources)\n* [Data-Science Interview Questions Answers](https://github.com/youssefHosni/Data-Science-Interview-Questions-Answers)\n* [Data-science-best-resources](https://github.com/tirthajyoti/Data-science-best-resources)\n* [Amazing-Feature-Engineering](https://github.com/ashishpatel26/Amazing-Feature-Engineering)\n* [Complete-Life-Cycle-of-a-Data-Science-Project](https://github.com/achuthasubhash/Complete-Life-Cycle-of-a-Data-Science-Project)\n* [Data Science Cheatsheet](https://github.com/ml874/Data-Science-Cheatsheet)\n* [PandasAI](https://github.com/gventuri/pandas-ai)\n\n## Machine Learning ##\n![alt text](https://github.com/youssefHosni/Awesome-ML-GitHub-Repos/blob/main/images/Machine%20Learning.jpg)\n\n* [GitHub Community Discussions](https://github.com/community/community): In this repository, you will find categories for various product areas. Feel free to share feedback, discuss topics with other community members, or ask questions.\n* [Awesome Machine Learning](https://github.com/josephmisiti/awesome-machine-learning): A curated list of awesome machine learning frameworks, libraries and software (by language).\n* [Machine Learning \u0026 Deep Learning Tutorials](https://github.com/ujjwalkarn/Machine-Learning-Tutorials): This repository contains a topic-wise curated list of Machine Learning and Deep Learning tutorials, articles and other resources\n* [Best-of Machine Learning with Python](https://github.com/ml-tooling/best-of-ml-python): A ranked list of awesome machine learning Python libraries.\n* [TensorFlow Examples](https://github.com/aymericdamien/TensorFlow-Examples): This tutorial was designed for easily diving into TensorFlow, through examples. For readability, it includes both notebooks and source codes with explanations, for both TF v1 \u0026 v2.\n* [Machine Learning Projects](https://github.com/lukas/ml-class)\n* [Randy Olson's data analysis and machine learning projects](https://github.com/rhiever/Data-Analysis-and-Machine-Learning-Projects)\n* [Minimum Viable Study Plan for Machine Learning Interviews](https://github.com/khangich/machine-learning-interview)\n* [Machine Learning Interview Questions: Machine Learning and Computer Vision Engineer](https://github.com/andrewekhalel/MLQuestions)\n* [Must Read Machine Learning \u0026 Deep Learning Papers](https://github.com/hurshd0/must-read-papers-for-ml)\n* [Free Machine Learning Books](https://github.com/shahumar/Free-Machine-Learning-Books)\n\n## Machine Learning Projects ## \n* [Orca calls Classifier Project](https://github.com/rohankrgupta/Orca-call-Classifier-Machine-learning)\n* [Multi-Modal House Price Estimation](https://github.com/Mehrab-Kalantari/Multi-Modal-House-Price-Estimation)\n* [Movie Recommendation System Project](https://github.com/Mehrab-Kalantari/Multi-Modal-House-Price-Estimation)\n* [Land Cover Semantic Segmentation Project](https://github.com/souvikmajumder26/Land-Cover-Semantic-Segmentation-PyTorch)\n* [Music Recommender System using ALS Algorithm with Apache Spark and Python](https://github.com/ramyananth/Music-Recommender-System-using-ALS-Algorithm-with-Apache-Spark-and-Python)\n* [Adversarial Task](https://github.com/antonio-f/Adversarial-Task)\n* [Flowers Classification](https://github.com/firaja/flowers-classification)\n* [99 Machine Learning Projects](https://github.com/gimseng/99-ML-Learning-Projects)\n* [Advanced Machine Learning Projects I](https://github.com/beimingliu/AdvancedMachineLearning)\n* [Advanced Machine Learning II](https://github.com/mohammadmozafari/advanced-machine-learning)\n\n## Machine Learning Engineering Operations (MLOps) ##\n![alt text](https://github.com/youssefHosni/Awesome-ML-GitHub-Repos/blob/main/images/MLOps.png)\n* [MLOps Zoomcamp](https://github.com/DataTalksClub/mlops-zoomcamp)\n* [MLOps-Basics](https://github.com/graviraja/MLOps-Basics)\n* [MLOps Guide](https://mlops-guide.github.io/)\n* [Awesome MLOps](https://github.com/visenger/awesome-mlops)\n* [Awesome MLOps - Tools](https://github.com/kelvins/awesome-mlops)\n* [DTU MLOps](https://github.com/SkafteNicki/dtu_mlops)\n* [MLOps Course](https://github.com/GokuMohandas/mlops-course)\n\n## Data Engineering ##\n![alt text](https://github.com/youssefHosni/Awesome-ML-GitHub-Repos/blob/main/images/Data%20Engineering.jpg)\n\n* [Data Engineering Zoomcamp](https://github.com/DataTalksClub/data-engineering-zoomcamp)\n* [Data Engineering Cookbook](https://github.com/andkret/Cookbook)\n* [How To Become a Data Engineer](https://github.com/adilkhash/Data-Engineering-HowTo)\n* [Awesome Data Engineering](https://github.com/igorbarinov/awesome-data-engineering)\n* [Data Engineering Roadmap](https://github.com/datastacktv/data-engineer-roadmap)\n* [Data Engineering Projects](https://github.com/alanchn31/Data-Engineering-Projects)\n* [Data Engineering Interview Questions](https://github.com/OBenner/data-engineering-interview-questions)\n\n\n## SQL \u0026 Database ##\n\n* [SQL 101 by s-shemmee](https://github.com/s-shemmee/SQL-101)\n* [Learn SQL by WebDevSimplified](https://github.com/WebDevSimplified/Learn-SQL)\n* [SQL Masterclass by datawithdanny](https://github.com/datawithdanny/sql-masterclass)\n* [SQL Map by sqlmapproject](https://github.com/sqlmapproject/sqlmap)\n* [SQL Server Samples by Microsoft](https://github.com/microsoft/sql-server-samples)\n* [SQL Music Store Analysis Project by Rishabhnmishra]()\n* [Data Engineering Zoomcamp by DataTalksClub]()\n* [SQL Server Kit by ktaranov]()\n* [Awesome DB Tools by mgramin]()\n* [SQL for Wary Data Scientists by gvwilson]()\n\n## Statistics ##\n* [Practical Statistics for Data Scientists](https://github.com/gedeck/practical-statistics-for-data-scientists)\n* [Probabilistic Programming and Bayesian Methods for Hackers](https://github.com/CamDavidsonPilon/Probabilistic-Programming-and-Bayesian-Methods-for-Hackers)\n* [Statsmodels: Statistical Modeling and Econometrics in Python](https://github.com/statsmodels/statsmodels)\n* [TensorFlow Probability](https://github.com/tensorflow/probability)\n* [The Probability and Statistics Cookbook](https://github.com/mavam/stat-cookbook)\n* [Seeing Theory](https://github.com/seeingtheory/Seeing-Theory)\n* [Stats Maths with Python](https://github.com/tirthajyoti/Stats-Maths-with-Python)\n* [Python for Probability, Statistics, and Machine Learning](https://github.com/unpingco/Python-for-Probability-Statistics-and-Machine-Learning)\n* [Probability and Statistics VIP Cheatsheets](https://github.com/shervinea/stanford-cme-106-probability-and-statistics)\n* [Basic Mathematics for Machine Learning](https://github.com/hrnbot/Basic-Mathematics-for-Machine-Learning)\n\n\n\n\n\n\n\n\n\n","projects_url":"https://awesome.ecosyste.ms/api/v1/lists/youssefhosni%2Fawesome-ai-data-github-repos/projects"}