Jupyter Notebook ML

Open-source Jupyter Notebook projects categorized as ML

Top 23 Jupyter Notebook ML Projects

  1. handson-ml

    ⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 instead.

    Project mention: 🚀 20 Must-Know GitHub Repositories for Developers in 2025! | dev.to | 2025-03-08

    1️⃣1️⃣ Practical Machine Learning 📈 📌 https://github.com/ageron/handson-ml Hands-on Machine Learning with Scikit-Learn, Keras, and TensorFlow.

  2. CodeRabbit

    CodeRabbit: AI Code Reviews for Developers. Revolutionize your code reviews with AI. CodeRabbit offers PR summaries, code walkthroughs, 1-click suggestions, and AST-based analysis. Boost productivity and code quality across all major languages with each PR.

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  3. StableLM

    StableLM: Stability AI Language Models

  4. dopamine

    Dopamine is a research framework for fast prototyping of reinforcement learning algorithms.

  5. pycaret

    An open-source, low-code machine learning library in Python

  6. nlpaug

    Data augmentation for NLP

  7. Andrew-NG-Notes

    This is Andrew NG Coursera Handwritten Notes.

  8. azureml-examples

    Official community-driven Azure Machine Learning examples, tested with GitHub Actions.

  9. InfluxDB

    InfluxDB high-performance time series database. Collect, organize, and act on massive volumes of high-resolution data to power real-time intelligent systems.

    InfluxDB logo
  10. awesome-ai-ml-dl

    Awesome Artificial Intelligence, Machine Learning and Deep Learning as we learn it. Study notes and a curated list of awesome resources of such topics.

    Project mention: Show HN: Llama 3.2 Interpretability with Sparse Autoencoders | news.ycombinator.com | 2024-11-21

    From https://news.ycombinator.com/item?id=34619013 :

    > /? awesome "explainable ai" https://www.google.com/search?q=awesome+%22explainable+ai%22

    - (Many other great resources)

    - https://github.com/neomatrix369/awesome-ai-ml-dl/blob/master... :

    > Post model-creation analysis, ML interpretation/explainability

    > /? awesome "explainable ai" "XAI"

  11. imodels

    Interpretable ML package 🔍 for concise, transparent, and accurate predictive modeling (sklearn-compatible).

    Project mention: PiML: Python Interpretable Machine Learning Toolbox | news.ycombinator.com | 2024-11-05

    [2] https://github.com/csinva/imodels/issues/129

  12. superlinked

    Superlinked is a Python framework for AI Engineers building high-performance search & recommendation applications that combine structured and unstructured data.

    Project mention: Show HN: Superlinked – Vector Embeddings for Structured and Unstructured Data | news.ycombinator.com | 2024-12-02
  13. serverless-ml-course

    Serverless Machine Learning Course for building AI-enabled Prediction Services from models and features

  14. cleora

    Cleora AI is a general-purpose open-source model for efficient, scalable learning of stable and inductive entity embeddings for heterogeneous relational data. Created by Synerise.com team.

  15. vertex-ai-samples

    Notebooks, code samples, sample apps, and other resources that demonstrate how to use, develop and manage machine learning and generative AI workflows using Google Cloud Vertex AI.

    Project mention: Google Unveils Agent2Agent Protocol for Next-Gen AI Collaboration | dev.to | 2025-04-15

    Google's introduction of new tools for building and managing multi-agent ecosystems through Vertex AI is a pivotal move for enterprises. The Agent Development Kit (ADK) is a notable feature, providing an open-source framework that allows users to create AI agents with fewer than 100 lines of code. This framework supports Python and integrates with the AI capabilities of Vertex AI.

  16. gan-vae-pretrained-pytorch

    Pretrained GANs + VAEs + classifiers for MNIST/CIFAR in pytorch.

  17. S2ML-Generators

    Multiple notebooks which allow the use of various machine learning methods to generate or modify multimedia content

  18. getml-community

    Fast, high-quality forecasts on relational and multivariate time-series data powered by new feature learning algorithms and automated ML.

  19. vision-camera-realtime-object-detection

    VisionCamera Frame Processor Plugin to detect objects using TensorFlow Lite Task Vision

  20. examples

    📝 Examples of how to use Neptune for different use cases and with various MLOps tools (by neptune-ai)

  21. ltt

    Learn then Test: Calibrating Predictive Algorithms to Achieve Risk Control

  22. PHUDGE

    Official repo for the paper PHUDGE: Phi-3 as Scalable Judge. Evaluate your LLMs with or without custom rubric, reference answer, absolute, relative and much more. It contains a list of all the available tool, methods, repo, code etc to detect hallucination, LLM evaluation, grading and much more.

    Project mention: Recapping the AI, Machine Learning and Computer Meetup — August 8, 2024 | dev.to | 2024-08-09

    PHUDG3: Phi-3 as Scalable Judge

  23. augmented-interpretable-models

    Interpretable and efficient predictors using pre-trained language models. Scikit-learn compatible.

  24. mltraq

    Track and Collaborate on ML & AI Experiments.

    Project mention: Ask HN: Why all these GitHub fake accounts starring my project | news.ycombinator.com | 2024-05-09

    Many of the stargazers of my MLtraq GitHub repository https://github.com/elehcimd/mltraq look weird:

    - No verifiable information, seemingly from China

  25. rea

    A Reverse Engineering Assistant leveraging Retrieval-Augmented Generation (RAG) and the LLaMA-3.1-8B-Instant Large Language Model (LLM). This tool is designed to revolutionize reverse engineering tasks by combining machine learning with retrieval-based systems. (by mytechnotalent)

    Project mention: Reverse Engineering Assistant | news.ycombinator.com | 2024-08-03
  26. SaaSHub

    SaaSHub - Software Alternatives and Reviews. SaaSHub helps you find the best software and product alternatives

    SaaSHub logo
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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Index

What are some of the best open-source ML projects in Jupyter Notebook? This list will help you:

# Project Stars
1 handson-ml 25,329
2 StableLM 15,830
3 dopamine 10,710
4 pycaret 9,286
5 nlpaug 4,551
6 Andrew-NG-Notes 2,851
7 azureml-examples 1,852
8 awesome-ai-ml-dl 1,527
9 imodels 1,443
10 superlinked 1,053
11 serverless-ml-course 569
12 cleora 502
13 vertex-ai-samples 311
14 gan-vae-pretrained-pytorch 192
15 S2ML-Generators 179
16 getml-community 113
17 vision-camera-realtime-object-detection 110
18 examples 85
19 ltt 66
20 PHUDGE 49
21 augmented-interpretable-models 42
22 mltraq 41
23 rea 31

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