Top AI Repos — open-source AI, indexed and scored
Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
A complete, structured hub for learning Artificial Intelligence — covering AI, Machine Learning, Deep Learning, and Data Science with books, roadmaps, and curated resources from beginner to advanced.
| Date | Stars |
|---|---|
| 2026-07-24 | 880 |
| 2026-07-25 | 887 |
| 2026-07-28 | 903 |
| 2026-07-30 | 903 |
| 2026-07-31 | 912 |
| 2026-08-06 | 944 |
Today
+32 stars today
This week
+41 stars this week
This month
— stars this month
Momentum
154.0
growth rate 4.54%/day
<h1 align="center">📚 AI / ML / DL Learning Resources Hub</h1> <p align="center"> <i>A structured, end-to-end roadmap to master AI — from fundamentals to cutting-edge research.</i> </p> A carefully curated, all-in-one repository designed to help **Computer Science students, AI enthusiasts, and professionals** who want to build strong foundations and progress confidently from **beginner to advanced levels**. This hub brings together the **high-quality books, courses, playlists, research papers, tools, and learning roadmaps** covering: **Artificial Intelligence, Machine Learning, Deep Learning, Data Science, Transformers, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and MLOps**, all organized in a clear, practical, and industry-relevant manner. The resources are selected to balance **theory, intuition, and real-world application**, allowing learners to follow modules **sequentially or in parallel** based on their goals. ⭐ **Recommended resources** highlight high-impact content widely used in **academia, research, and industry**, ensuring you focus on what truly matters in modern AI.    <p align="center"> <img src="assets/ai-image.png" width="350"> </p> --- ## Table of Contents - [Getting Started](#getting-started) - [How to Use This Repository](#how-to-use-this-repository) - [Learning Roadmaps](#learning-roadmaps-foundations--advanced) - [Career-Oriented Learning Paths](#career-oriented-learning-paths) - [The Math Behind It All](#the-math-behind-it-all) - [Programming & Framework Foundations](#programming--framework-foundations) - [Tools and Frameworks](#tools-and-frameworks) - [Research Papers and Blogs](#research-papers-and-blogs) - [AI / ML Communities & Discussion Platforms](#ai--ml-communities--discussion-platforms) - [Key & Emerging AI Topics](#key--emerging-ai-topics) - [Contribution](#contribution) - [License](#license) --- ## Getting Started Before starting your AI / Machine Learning journey, ensure that your development environment is properly set up. Having the right tools in place will help you focus on learning concepts instead of fixing setup issues. | S.No | Tool / Concept | Resource | |-----|----------------|----------| | 1 | `Python (3.10+)` | [Download Python (Official)](https://www.python.org/downloads/) | | 2 | `VS Code` | [Visual Studio Code Download](https://code.visualstudio.com/download) | | 3 | `Virtual Environment (venv)` | [Python venv Documentation](https://docs.python.org/3/library/venv.html) | | 4 | `Notebooks` | [Google Colab](https://colab.research.google.com/) / [Jupyter Notebook](https://jupyter.org/) | | 5 | `Python Libraries` | [Essential Python Libraries for AI/ML](Packages.md) | --- ## How to Use This Repository 1. **Start with the AI Roadmap** if you are new 2. Move into **ML → DL → specialization (CV, NLP, LLMs, etc.)** 3. Choose your **career track**: - Engineer - MLOps / Production - Research Scientist - AI Safety / Policy > You do **not** need to follow everything linearly. > These roadmaps are **modular but connected**. --- ## Learning Roadmaps (Foundations → Advanced) > **A complete, structured, and research-grade roadmap collection for Artificial Intelligence** > From **foundations → specialization → production → research & safety** > Each roadmap is **independent**, **deep**, and **industry + research aligned**. ### Foundations - **[AI Roadmap](roadmaps/ai-roadmap.md)** *Big-picture AI: concepts, history, paradigms, and learning paths* - **[Data Science Roadmap](roadmaps/data-science-roadmap.md)** *Math, statistics, data analysis, visualization, a
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Would you bet a product on this? Bounded 0–100 and slow moving.
matched fp:104b08ab5b57fe1f, topic:rag, readme:retrieval-augmented generation, readme:retrieval augmented
matched fp:104b08ab5b57fe1f, topic:deep-learning
matched fp:104b08ab5b57fe1f, topic:llm
matched fp:104b08ab5b57fe1f, topic:roadmap, readme:roadmap