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.
Mastering Applied AI, One Concept at a Time
| Date | Stars |
|---|---|
| 2026-07-30 | 2364 |
| 2026-08-10 | 2371 |
| 2026-08-18 | 2376 |
| 2026-08-19 | 2379 |
| 2026-08-20 | 2378 |
| 2026-08-24 | 2378 |
| 2026-08-25 | 2377 |
| 2026-08-26 | 2378 |
| 2026-08-27 | 2377 |
| 2026-08-28 | 2375 |
| 2026-08-29 | 2377 |
| 2026-08-31 | 2376 |
| 2026-09-01 | 2377 |
| 2026-09-03 | 2378 |
| 2026-09-06 | 2378 |
| 2026-09-08 | 2378 |
| 2026-09-10 | 2380 |
| 2026-09-11 | 2380 |
| 2026-09-15 | 2381 |
| 2026-09-16 | 2383 |
| 2026-09-19 | 2383 |
| 2026-09-20 | 2383 |
| 2026-09-21 | 2384 |
| 2026-09-23 | 2385 |
| 2026-09-25 | 2384 |
| 2026-09-26 | 2383 |
| 2026-09-28 | 2384 |
| 2026-09-29 | 2383 |
| 2026-09-30 | 2384 |
| 2026-10-01 | 2385 |
| 2026-10-02 | 2384 |
| 2026-10-03 | 2381 |
| 2026-10-04 | 2383 |
| 2026-10-07 | 2382 |
| 2026-10-10 | 2383 |
| 2026-10-11 | 2384 |
| 2026-10-16 | 2383 |
| 2026-10-18 | 2384 |
| 2026-10-20 | 2385 |
| 2026-10-21 | 2386 |
| 2026-10-23 | 2386 |
| 2026-10-24 | 2385 |
| 2026-10-25 | 2386 |
| 2026-10-26 | 2387 |
| 2026-10-27 | 2388 |
| 2026-11-03 | 2389 |
| 2026-11-04 | 2388 |
Today
-1 stars today
This week
— stars this week
This month
+5 stars this month
Momentum
0.0
growth rate 0.00%/day
<div align="center">
<h1> AI Engineering Academy </h1>
<h3>🚀 Mastering Applied AI, One Concept at a Time 🚀</h3>
<img src="./assets/banner.png" alt="Ai Engineering. Academy" width="60%">
<p>
<a href="https://aiengineering.academy/" target="_blank">Website</a> •
<a href="#roadmap">Learning Paths</a> •
<a href="#getting-started">Getting Started</a> •
<a href="#community">Community</a>
</p>
</div>
[](https://github.com/adithya-s-k/AI-Engineering.academy/stargazers)
[](https://github.com/adithya-s-k/AI-Engineering.academy/network/members)
[](https://github.com/adithya-s-k/AI-Engineering.academy/issues)
[](https://github.com/adithya-s-k/AI-Engineering.academy/pulls)
[](https://github.com/adithya-s-k/AI-Engineering.academy/blob/main/LICENSE)
## 🎯 Mission
Your journey into AI shouldn't be overwhelming. [AIengineering.academy](https://aiengineering.academy/) curate and organize essential knowledge into clear learning paths, making complex AI concepts accessible and practical for everyone.
## 🌟 Why Choose AI Engineering Academy?
- 📚 **Structured Learning**: Carefully designed pathways from fundamentals to advanced concepts
- 💻 **Hands-on Practice**: Real-world projects and implementations
- 🎓 **Industry-Aligned**: Focus on practical, production-ready skills
- 🤝 **Community-Driven**: Learn alongside peers and experts
## 🗺️ Learning Paths
### 1. [Prompt Engineering](./docs/PromptEngineering/)
Master the art of effectively communicating with AI models
- Fundamental concepts and best practices
- Advanced techniques for optimal results
- Real-world applications and case studies
### 2. [Retrieval Augmented Generation (RAG)](./docs/RAG/)
Enhance AI responses with external knowledge
- Core RAG architecture and components
- Building RAG systems from scratch
- Production deployment strategies
- Performance optimization techniques
### 3. [Fine-tuning](./docs/LLM/)
Customize AI models for your specific needs
- Understanding fine-tuning fundamentals
- Model adaptation techniques
- Best practices and common pitfalls
- Resource optimization
### 4. [Deployment](./docs/Deployment/) 📍 _Coming Soon_
Take your AI models from laptop to production
- Cloud deployment strategies
- Performance optimization
- Scaling considerations
- Monitoring and maintenance
### 5. [AI Agents](./docs/Agents/)
Build autonomous AI systems
- Agent architectures
- Decision-making frameworks
- Multi-agent systems
- Real-world applications
### 6. [Projects](./docs/Projects/)
Apply your knowledge through hands-on projects
- End-to-end implementations
- Industry-relevant scenarios
- Portfolio-worthy demonstrations
## 🚀 Getting Started
1. **Choose Your Path**: Select a learning track that matches your goals
2. **Follow the Structure**: Complete modules in the recommended order
3. **Practice**: Implement the concepts through provided exercises
4. **Build**: Create your own projects using the knowledge gained
5. **Share**: Contribute to the community and help others learn
## 👥 Community
- Join our growing community of AI enthusiasts
- Share your learning journey
- Collaborate on projects
- Get help when you're stuck
- Contribute to improving the curriculum
<div align="center">
<h3>🏆 Maintainer</h3>
<table>
<tr>
<td align="center">
<a href="https://github.com/adithya-s-k">
<img src="https://avatars.githubusercontent.com/u/27956426?s=400&u=582ecb2d706a63fc67eb1b54579c7ab19cf391fd&v=4" width="100px;" alt=""/>
<br />
Excerpt of 12,912 characters
Read on GitHub
Adithya S K · huggingface
411
8
2
2
Milutin Studen · @elastic · United Kingdom
1
1
1
Would you bet a product on this? Bounded 0–100 and slow moving.
matched fp:f0413ad5683c69b3, topic:fine-tuning, topic:finetuning, readme:fine-tuning
matched fp:f0413ad5683c69b3, topic:inference
matched fp:f0413ad5683c69b3, topic:quantization
matched fp:f0413ad5683c69b3, topic:large-language-models, topic:llm