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Top 23 Jupyter Notebook Machine Learning Projects
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Project mention: What Building Redis, Git and an LLM From Scratch Taught Us About Using Them | dev.to | 2026-10-05
RAG and agents. LLMs from scratch and Karpathy's Zero to Hero cover tokens, embeddings, attention. Chunking and retrieval choices stop being folklore.
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AppSignal
AppSignal knows why the f*#k it crashed. Stop vibe-debugging. Every exception, every backtrace, grouped so you see patterns, not noise.
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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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A hands-on, end-to-end course on building, evaluating, and deploying LLM applications. Ideal when you want a clear path from spark of an idea to deployment. Link: https://github.com/mlabonne/llm-course
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AI for Beginners (Microsoft): 12 weeks, 24 lessons with quizzes and labs. Neural networks, computer vision, language, AI ethics. https://github.com/microsoft/AI-For-Beginners
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llm-app
Ready-to-run cloud templates for RAG, AI pipelines, and enterprise search with live data. 🐳Docker-friendly.⚡Always in sync with Sharepoint, Google Drive, S3, Kafka, PostgreSQL, real-time data APIs, and more.
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SaaSHub
SaaSHub - Software Alternatives and Reviews. SaaSHub helps you find the best software and product alternatives
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The IFEval subset uses Google Research's dataset. Its score checks instructions such as avoiding commas or formatting an answer as JSON. It does not establish factual accuracy or writing quality. We cross-checked the stored outputs against the official evaluator and independently verified all 15 exact-answer reference solutions. This is a subset score, not a full IFEval leaderboard result.
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CLIP
CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image
Project mention: WatchTower : an open-weight agent for video incident investigation | dev.to | 2026-10-09Model terms: Gemma 4 Terms of Use · CLIP: MIT · YOLOv8: AGPL-3.0 · FAISS: MIT
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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.
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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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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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FinGPT
FinGPT: Open-Source Financial Large Language Models! Revolutionize 🔥 We release the trained model on HuggingFace.
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machine-learning-for-trading
Code for Machine Learning for Trading, 3rd edition — from data sourcing to live execution.
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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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mlops-zoomcamp
Free MLOps course from DataTalks.Club. Register here 👇🏼 to get notified about the next cohort
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SaaSHub
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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).
Jupyter Notebook Machine Learning discussion
Jupyter Notebook Machine Learning related posts
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What If We Stopped Using GPUs? [video]
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How Hard Is It to Find a Remote Python Data Job? I Checked 88,975 HN Job Posts
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Unsloth Desktop brings Local AI to the masses
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The Spectral Neuron
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The power of collaboration: How we can reduce traffic congestion
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GPU Puzzles (2021)
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A note from our sponsor - SaaSHub
www.saashub.com | 11 Oct 2026
Index
What are some of the best open-source Machine Learning projects in Jupyter Notebook? This list will help you:
| # | Project | Stars |
|---|---|---|
| 1 | LLMs-from-scratch | 106,200 |
| 2 | ML-For-Beginners | 91,410 |
| 3 | llm-course | 83,463 |
| 4 | AI-For-Beginners | 69,690 |
| 5 | llm-app | 58,812 |
| 6 | Made-With-ML | 49,711 |
| 7 | TensorFlow-Examples | 43,739 |
| 8 | google-research | 38,887 |
| 9 | CLIP | 34,410 |
| 10 | RAG_Techniques | 29,783 |
| 11 | fastai | 28,221 |
| 12 | shap | 25,796 |
| 13 | handson-ml | 25,604 |
| 14 | fastbook | 25,189 |
| 15 | homemade-machine-learning | 24,807 |
| 16 | GenAI_Agents | 24,502 |
| 17 | learnopencv | 23,182 |
| 18 | FinGPT | 21,384 |
| 19 | machine-learning-for-trading | 21,267 |
| 20 | llama-cookbook | 18,560 |
| 21 | mlops-zoomcamp | 15,397 |
| 22 | Virgilio | 15,000 |
| 23 | machine-learning-zoomcamp | 14,701 |
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