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.
Comprehensive resources on Generative AI, including a detailed roadmap, projects, use cases, interview preparation, and coding preparation.
| Date | Stars |
|---|---|
| 2026-07-24 | 2566 |
| 2026-07-25 | 2568 |
| 2026-07-28 | 2568 |
| 2026-07-30 | 2568 |
| 2026-08-06 | 2568 |
Today
— stars today
This week
— stars this week
This month
— stars this month
Momentum
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growth rate 0.00%/day
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## 🎯 Learn AI/ML Interactively
I built **[AI-ML Companion](https://aimlcompanion.ai)** - every AI, ML, GenAI and Agentic AI concept covered here, taught visually with animated diagrams, quizzes, and hands-on Python. The guides below are the **full, continuously-updated versions** of the reference material in this repo.
**300+ modules • 22 tracks • 9 real-world projects • free to start**
[](https://aimlcompanion.ai)
**Popular guides:** [What is RAG](https://aimlcompanion.ai/guide/what-is-rag) • [Agentic AI](https://aimlcompanion.ai/guide/agentic-ai) • [Transformer Architecture](https://aimlcompanion.ai/guide/transformer-architecture) • [Interview Q&A](https://aimlcompanion.ai/curriculum/interviewScenarios) • [Full Roadmap](https://aimlcompanion.ai/roadmap)
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Your go-to hub for end-to-end GenAI learning. ⭐ Star this repo to stay updated with the latest GenAI resources :)
## 📚 Table of Contents
- [Documentation & Learning Resources](#-documentation--learning-resources)
- [Practical Use Cases & Projects](#-practical-use-cases--projects)
---
## 📖 Documentation & Learning Resources
### 🎯 Getting Started
- **[AI-ML Companion](https://aimlcompanion.ai/)** - Interactive AI/ML learning platform with 22 tracks, 300+ modules, visualizations, quizzes, and hands-on coding (ML fundamentals → LLMs → MLOps)
- **[GenAI Roadmap](https://aimlcompanion.ai/roadmap)** - Your complete learning path for GenAI (interactive) · [markdown](./GenAI_Roadmap.md)
- **[AI/ML Roadmap](https://aimlcompanion.ai/roadmap)** - Comprehensive AI/ML learning guide · [PDF](./docs/ai_ml_roadmap.pdf)
- **[Essential GenAI Terms](https://aimlcompanion.ai/glossary)** - Illustrated glossary of key terminology · [PDF](./docs/essential-terms-genai.pdf)
- **[What is Generative AI](https://aimlcompanion.ai/guide/generative-ai)** - Full guide to GenAI foundations
- **[LLM Fundamentals](https://aimlcompanion.ai/guide/transformer-architecture)** - How transformers and LLMs work · [PDF](./docs/llm_fundamentals.pdf)
### 🧠 Core Concepts & Guides
- **[What is RAG](https://aimlcompanion.ai/guide/what-is-rag)** - Retrieval-Augmented Generation explained end to end
- **[Vector Embeddings Guide](./docs/vector-embeddings-guide.pdf)** - Understanding vector representations (PDF)
- **[Prompt Engineering](./docs/prompt_engineering.ipynb)** - Crafting effective prompts (notebook)
- **[AI Patterns](./docs/ai-patterns.pdf)** - Top 25 AI design patterns (PDF)
- **[ML Reference Guide](./docs/ml-reference-guide.pdf)** - Machine learning reference (PDF)
### 🏗️ Architecture & Technical Stack
- **Excerpt of 11,611 characters
Read on GitHub
Rajesh Srivastava · India
563
3
Emmanuel Ferdman · Israel
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1
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Would you bet a product on this? Bounded 0–100 and slow moving.
matched fp:1f9cb4c350f92dbc, topic:agentic-ai, topic:llm-agent, topic:langgraph
matched fp:1f9cb4c350f92dbc, topic:mcp, topic:model-context-protocol
matched fp:1f9cb4c350f92dbc, topic:interview-questions, readme:learning path, desc:roadmap