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Top 23 Jupyter Notebook AI Projects
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View on GitHub
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SaaSHub
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Project mention: 🚀 Vibe Coding Mistakes (When Using AI Tools) and How to Avoid Them | dev.to | 2025-11-13
Google Research (2024) AI-Assisted Software Engineering Trends [Report]. Available at: https://research.google (Accessed: 12 January 2025).
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RAG_Techniques
This repository showcases various advanced techniques for Retrieval-Augmented Generation (RAG) systems. Each technique has a detailed notebook tutorial.
Project mention: Building with Generative AI: Lessons from 5 Projects Part 1: RAG | dev.to | 2025-08-08There is also another repo that showcases various advanced techniques for Retrieval-Augmented Generation (RAG) systems.
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h4cker
This repository is maintained by Omar Santos (@santosomar) and includes thousands of resources related to ethical hacking, bug bounties, digital forensics and incident response (DFIR), AI security, vulnerability research, exploit development, reverse engineering, and more. 🔥 Also check: https://hackertraining.org
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GenAI_Agents
50+ tutorials and implementations for Generative AI Agent techniques, from basic conversational bots to complex multi-agent systems.
Clear tutorials and implementations of generative AI agent techniques, from basic builds to advanced strategies. You’ll see how different agent strategies are wired up, which makes design choices feel obvious. Link: https://github.com/NirDiamant/GenAI_Agents
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llama-cookbook
Welcome to the Llama Cookbook! This is your go to guide for Building with Llama: Getting started with Inference, Fine-Tuning, RAG. We also show you how to solve end to end problems using Llama model family and using them on various provider services
While people often focus on the big models, smaller and more specialised models are increasingly important. Codex for code generation, Stable Diffusion for images, and small LLaMA-class models for focused tasks are all good examples.
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dopamine
Dopamine is a research framework for fast prototyping of reinforcement learning algorithms.
Project mention: Fired by Google for Creating the Google Workspace CLI | news.ycombinator.com | 2026-06-23This is clearly something done in official capacity, during working hours, with the knowledge and support of his manager, who announced the CLI.
It says "This is not an officially supported Google product" because it's a DevRel sample/experiment, just like dozens of other Google repositories made by Google employees as part of their job.
Even some other tools in github.com/google have as much: https://github.com/google/python-fire / https://github.com/google/pytype/blob/main/docs/index.md / https://github.com/google/dopamine / https://github.com/google/go-tika
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Project mention: Show HN: Sweep, AI autocomplete for JetBrains that rewrites code | news.ycombinator.com | 2025-10-07
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Prompt_Engineering
22 prompt engineering techniques with hands-on Jupyter Notebook tutorials, from fundamental concepts to advanced strategies for leveraging LLMs.
View on GitHub
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Source code of the book: https://github.com/rasbt/reasoning-from-scratch
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oracle-ai-developer-hub
Technical resources for AI developers to build applications, agents, and systems using Oracle AI Database and OCI services
Several techniques are used to overcome this architectural limitation, and the folks at Oracle have some interesting examples. Their GitHub repo, oracle-ai-developer-hub showcases some different approaches. Through Jupyter notebooks like memory_context_engineering_agents.ipynb and RAG examples, Agent memory stops being a feature and becomes an engineering discipline.
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Dreambooth-Stable-Diffusion
Implementation of Dreambooth (https://arxiv.org/abs/2208.12242) by way of Textual Inversion (https://arxiv.org/abs/2208.01618) for Stable Diffusion (https://arxiv.org/abs/2112.10752). Tweaks focused on training faces, objects, and styles. (by JoePenna)
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NOTE:
The open source projects on this list are ordered by number of github stars.
The number of mentions indicates repo mentiontions in the last 12 Months or
since we started tracking (Dec 2020).
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www.saashub.com | 12 Jul 2026
Index
What are some of the best open-source AI projects in Jupyter Notebook? This list will help you:
| # | Project | Stars |
|---|---|---|
| 1 | generative-ai-for-beginners | 112,851 |
| 2 | LLMs-from-scratch | 98,779 |
| 3 | AI-For-Beginners | 52,150 |
| 4 | google-research | 38,347 |
| 5 | RAG_Techniques | 28,481 |
| 6 | h4cker | 28,316 |
| 7 | GenAI_Agents | 23,060 |
| 8 | learnopencv | 23,012 |
| 9 | llama-cookbook | 18,399 |
| 10 | stable-diffusion-webui-colab | 15,932 |
| 11 | StableLM | 15,688 |
| 12 | AI-Papers-of-the-Week | 12,643 |
| 13 | dopamine | 10,880 |
| 14 | sweep | 7,701 |
| 15 | Prompt_Engineering | 7,657 |
| 16 | reasoning-from-scratch | 4,703 |
| 17 | nlpaug | 4,662 |
| 18 | oracle-ai-developer-hub | 4,271 |
| 19 | bRAG-langchain | 4,136 |
| 20 | ArtLine | 3,624 |
| 21 | Dreambooth-Stable-Diffusion | 3,212 |
| 22 | examples | 3,027 |
| 23 | clip-retrieval | 2,785 |
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