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Top 23 Jupyter Notebook Python Projects
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A beginner-friendly ML curriculum with practical examples and exercises you can actually finish. A solid starting point if you’re new to ML and want quick wins. Link: https://github.com/microsoft/ML-For-Beginners
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The linked Github seems to have the 2nd edition in the form of notebooks, https://github.com/jakevdp/PythonDataScienceHandbook/blob/ma..., under the Using Code Examples section, "attribution usually includes the title, author, publisher, and ISBN. For example: "Python Data Science Handbook, 2nd edition, by Jake VanderPlas (O’Reilly). Copyright 2023..." compared to the OP's link which has "The Python Data Science Handbook by Jake VanderPlas (O’Reilly). Copyright 2016..."
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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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Project mention: GSoC 2026 Predictions: 30 NEW AI/ML/Security Organizations You Should Start Contributing to NOW! | dev.to | 2026-02-06
fastai: https://github.com/fastai/fastai ⭐ 26k+
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Project mention: GSoC 2026 Predictions: 30 NEW AI/ML/Security Organizations You Should Start Contributing to NOW! | dev.to | 2026-02-06
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homemade-machine-learning
🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained
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agents-towards-production
End-to-end, code-first tutorials for building production-grade GenAI agents. From prototype to enterprise deployment.
Project mention: Show HN: GibRAM an in-memory ephemeral GraphRAG runtime for retrieval | news.ycombinator.com | 2026-01-17GraphRAG's approach certainly makes sense for regulation-heavy documents, where interconnected references can be critical for retrieval quality. The challenge you mentioned about separate systems for graph storage and vector indexing resonates with what we've seen in the field. In practice, this separation often adds unnecessary complexity for ephemeral analysis tasks. One thing we've explored is using a dual-memory architecture, which might be relevant here even in an in-memory context. It allows you to effectively manage recent context and longer-term semantic connections without the overhead of persistent storage. If you're interested in seeing how this approach could be integrated into production systems, I wrote up some patterns that might be useful: https://github.com/NirDiamant/agents-towards-production.
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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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awesome-python-applications
💿 Free software that works great, and also happens to be open-source Python.
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mcp-for-beginners
This open-source curriculum introduces the fundamentals of Model Context Protocol (MCP) through real-world, cross-language examples in .NET, Java, TypeScript, JavaScript, Rust and Python. Designed for developers, it focuses on practical techniques for building modular, scalable, and secure AI workflows from session setup to service orchestration.
Project mention: Host Your Node.js MCP Server on Azure Functions in 3 Simple Steps | dev.to | 2025-12-09🚨 Free course alert! If you're new to MCP, check out the MCP for Beginners course to get up to speed quickly.
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vosk-api
Offline speech recognition API for Android, iOS, Raspberry Pi and servers with Python, Java, C# and Node
pip install vosk soundfile git clone https://github.com/alphacep/vosk-api.git # download a small model into ~/models # convert audio to 16k mono wav: ffmpeg -i input.mp3 -ar 16000 -ac 1 input_16k.wav # run a small python script: python transcribe_vosk.py input_16k.wav > output.txt
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View on GitHub
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python-machine-learning-book
The "Python Machine Learning (1st edition)" book code repository and info resource
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The-Complete-FAANG-Preparation
Dive into this repository, a comprehensive resource covering Data Structures, Algorithms, 450 DSA by Love Babbar, Striver DSA sheet, Apna College DSA Sheet, and FAANG Questions! 🚀 That's not all! We've got Technical Subjects like Operating Systems, DBMS, SQL, Computer Networks, and Object-Oriented Programming, all waiting for you.
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).
Jupyter Notebook Python discussion
Jupyter Notebook Python related posts
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Project Euler Problems 1–100
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astrocp: Conformal Prediction con cobertura condicional por clase para astronomía
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fastcore v2
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Unsloth: Easily run and train models locally
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DeepSeek Sparse Attention
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Copilot Squad
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Train Your Own LLM from Scratch
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A note from our sponsor - SaaSHub
www.saashub.com | 21 Jul 2026
Index
What are some of the best open-source Python projects in Jupyter Notebook? This list will help you:
| # | Project | Stars |
|---|---|---|
| 1 | LLMs-from-scratch | 99,153 |
| 2 | ML-For-Beginners | 88,291 |
| 3 | Made-With-ML | 48,757 |
| 4 | PythonDataScienceHandbook | 48,614 |
| 5 | TensorFlow-Examples | 43,739 |
| 6 | Data-Science-For-Beginners | 36,284 |
| 7 | RAG_Techniques | 28,689 |
| 8 | fastai | 28,085 |
| 9 | handson-ml | 25,599 |
| 10 | fastbook | 24,950 |
| 11 | homemade-machine-learning | 24,698 |
| 12 | pytudes | 24,381 |
| 13 | agents-towards-production | 20,991 |
| 14 | llama-cookbook | 18,402 |
| 15 | awesome-python-applications | 17,831 |
| 16 | IoT-For-Beginners | 16,969 |
| 17 | mcp-for-beginners | 16,781 |
| 18 | vosk-api | 14,946 |
| 19 | Virgilio | 14,860 |
| 20 | python-training | 13,685 |
| 21 | python-machine-learning-book | 12,614 |
| 22 | prettymaps | 12,300 |
| 23 | The-Complete-FAANG-Preparation | 12,036 |
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