youssefhosni/awesome-ai-data-github-repos

A collection of the most important Github repos for ML, AI & Data science practitioners

Awesome AI & Data GitHub-Repos

A curated list of the most essential GitHub repos that cover the AI & 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!

Table of Contents:

• Natural Language Processing (NLP)
• Large Language Models(LLM)
• Computer Vision
• Data Science
• Machine Learning
• Machine Learning Engineerings Operations (MLOps)
• Data Engineering

Natural Language Processing

• 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.

Large Language Models

• LLMs Practical Guide: The Practical Guides for Large Language Models
• LLM Survey: A collection of papers and resources related to Large Language Models
• Open LLMs: List of LLMs that are all licensed for commercial
• Awesome LLM: Curated list of papers about large language models, especially relating to ChatGPT
• Awesome Decentralized LLM: Collection of LLM resources that can be used to build products you can "own" or to perform reproducible research
• LangChain: Building applications with LLMs through composability
• Awesome LangChain: Curated list of tools and projects using LangChain
• Awesome Graph LLM: A collection of AWESOME things about Graph-Related Large Language Models (LLMs).
• OpenLLM: An open platform for operating large language models (LLMs) in production
• LLM Zoo: democratizing ChatGPT
• VectorDB-recipes
• Awesome GPT Prompt Engineering: A curated list of awesome resources, tools, and other shiny things for GPT prompt engineering
• Prompt Engineering Guide:
• LLM Course

Computer Vision

• Awesome Computer Vision: A curated list of awesome computer vision resources
• Computer Vision Tutorials by Roboflow
• Transformer in Vision: paper list of some recent Transformer-based CV works
• Awesome-Referring-Image-Segmentation: A collection of referring image segmentation papers and datasets
• awesome-vision-language-pretraining-papers: Recent Advances in Vision and Language PreTrained Models (VL-PTMs)
• Awesome Vision-and-Language: A curated list of awesome vision and language resources,
• Awesome-Temporal-Action-Detection-Temporal-Action-Proposal-Generation
• Awesome-Referring-Image-Segmentation: A collection of referring image segmentation papers and datasets.
• Awesome Masked Autoencoders: A collection of literature after or concurrent with Masked Autoencoder (MAE)
• Awesome Visual-Transformer: Collection of some Transformer with Computer-Vision (CV) papers
• Transformer-Based Visual Segmentation: A Survey
• Awesome-Segmentation-With-Transformer
• CVPR 2o23 Paper with Code
• Awesome Deepfakes Detection
• Weekly-Top-Computer-Vision-Papers

Data Science

• Data Science for Beginners - A Curriculum
• Data Science Resources
• freeCodeCamp.org's open-source codebase and curriculum
• List of Data Science/Big Data Resources
• Open Source Society University: Path to a free self-taught Education in Data Science
• AWESOME DATA SCIENCE: An open-source Data Science repository to learn and apply towards solving real-world problems.
• Data Science ALL CHEAT SHEET
• Data Science End-to-End Projects
• Data Analysis Projects
• Data Science Interview Resources
• Data-Science Interview Questions Answers
• Data-science-best-resources
• Amazing-Feature-Engineering
• Complete-Life-Cycle-of-a-Data-Science-Project
• Data Science Cheatsheet
• PandasAI

Machine Learning

• GitHub Community Discussions: 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.
• Awesome Machine Learning: A curated list of awesome machine learning frameworks, libraries and software (by language).
• Machine Learning & Deep Learning Tutorials: This repository contains a topic-wise curated list of Machine Learning and Deep Learning tutorials, articles and other resources
• Best-of Machine Learning with Python: A ranked list of awesome machine learning Python libraries.
• 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 & v2.
• Machine Learning Projects
• Randy Olson's data analysis and machine learning projects
• Minimum Viable Study Plan for Machine Learning Interviews
• Machine Learning Interview Questions: Machine Learning and Computer Vision Engineer
• Must Read Machine Learning & Deep Learning Papers
• Free Machine Learning Books

Machine Learning Engineering Operations (MLOps)

• MLOps Zoomcamp
• MLOps-Basics
• MLOps Guide
• Awesome MLOps
• Awesome MLOps - Tools
• DTU MLOps
• MLOps Course

Data Engineering

• Data Engineering Zoomcamp
• Data Engineering Cookbook
• How To Become a Data Engineer
• Awesome Data Engineering
• Data Engineering Roadmap
• Data Engineering Projects
• Data Engineering Interview Questions

awesome-ai-data-github-repos's Issues

Additions: Deep Learning Section and Important GitHub Repository References

I have added a section related to deep learning to your project, and I have made some important additions to the headings by including a few GitHub repository references.