Jupyter Notebook Machine Learning

Open-source Jupyter Notebook projects categorized as Machine Learning

Top 23 Jupyter Notebook Machine Learning Projects

  • ML-For-Beginners

    12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all

    Project mention: I want to learn more about AI and Machine Learning | reddit.com/r/ArtificialInteligence | 2023-01-12
  • TensorFlow-Examples

    TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)

  • SonarQube

    Static code analysis for 29 languages.. Your projects are multi-language. So is SonarQube analysis. Find Bugs, Vulnerabilities, Security Hotspots, and Code Smells so you can release quality code every time. Get started analyzing your projects today for free.

  • Made-With-ML

    Learn how to responsibly develop, deploy and maintain production machine learning applications.

    Project mention: what is ml/ops? | reddit.com/r/mlops | 2022-12-05

    I direct my students to: https://madewithml.com , the mlops section, and Chip Huyen's book by oreilly..her site is here: https://huyenchip.com , with great lectures in her course as well. Feel the former is one of the better surveys you will find, touching on concepts rather than the million products that implement them. The section on using Makefiles is itself worth reading!

  • google-research

    Google Research

    Project mention: Deep Learning Pioneer Geoffrey Hinton Publishes New Deep Learning Algorithm | news.ycombinator.com | 2023-01-12


  • handson-ml

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

    Project mention: need a book recommendation for machine learning on python | reddit.com/r/learnpython | 2022-05-25

    Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow is often recommended. You can check out the GitHub repo first: https://github.com/ageron/handson-ml

  • fastai

    The fastai deep learning library

    Project mention: Fast.ai starts a corporate partnership program | news.ycombinator.com | 2023-01-17

    You may know fast.ai as a popular deep learning course. There is also a deep learning library with the same name (https://github.com/fastai/fastai) as well as software development tools like nbdev (https://nbdev.fast.ai/).

    fast.ai has been offering education and tools for free for over 7 years, and has been approached by many companies asking for help. This program offers an avenue for business to get relevant professional services and support.

  • homemade-machine-learning

    🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained

    Project mention: Homemade Machine Learning | news.ycombinator.com | 2022-12-01
  • InfluxDB

    Build time-series-based applications quickly and at scale.. InfluxDB is the Time Series Platform where developers build real-time applications for analytics, IoT and cloud-native services. Easy to start, it is available in the cloud or on-premises.

  • shap

    A game theoretic approach to explain the output of any machine learning model.

    Project mention: SHAP Value Interpretation | reddit.com/r/datascience | 2022-09-07

    See this closed topic for more detail: https://github.com/slundberg/shap/issues/29

  • learnopencv

    Learn OpenCV : C++ and Python Examples

    Project mention: Object detection with depth measurement using pre-trained models with OAK-D | reddit.com/r/computerscience | 2022-04-29

    Code Link : https://github.com/spmallick/learnopencv/tree/master/OAK-Object-Detection-with-Depth

  • fastbook

    The fastai book, published as Jupyter Notebooks

    Project mention: Fastai Chapter 4 - The important parts, Part 2: Building a regression model | dev.to | 2023-01-25

    The book is available online here The course is accessible here

  • nn

    🧑‍🏫 59 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠

    Project mention: [D] Recent ML papers to implement from scratch | reddit.com/r/MachineLearning | 2022-10-10
  • python-machine-learning-book

    The "Python Machine Learning (1st edition)" book code repository and info resource

    Project mention: Can you recommend a Python textbook to replace "An Introduction to Statistical Learning with Applications in R", Witten, J. et. al. [E] | reddit.com/r/statistics | 2022-12-12
  • TensorFlow-Tutorials

    TensorFlow Tutorials with YouTube Videos

  • computervision-recipes

    Best Practices, code samples, and documentation for Computer Vision.

    Project mention: How is accuracy calculated in multi label classification | reddit.com/r/MLQuestions | 2022-01-31
  • amazon-sagemaker-examples

    Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.

    Project mention: Study Plan to pass exam AWS Machine Learning Specialty exam with tips and advice | dev.to | 2022-11-03

    It's time to get your hands dirty by solving some ML Use Cases of your own from AWS SageMaker Use Cases repo.

  • pycaret

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

    Project mention: pycaret: An open-source, low-code machine learning library in Python | reddit.com/r/coolgithubprojects | 2022-09-13
  • machine-learning-for-trading

    Code for Machine Learning for Algorithmic Trading, 2nd edition.

    Project mention: How to become quant from cs | reddit.com/r/csMajors | 2022-10-29
  • H2O

    H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Linear Modeling (GLM with Elastic Net), K-Means, PCA, Generalized Additive Models (GAM), RuleFit, Support Vector Machine (SVM), Stacked Ensembles, Automatic Machine Learning (AutoML), etc.

    Project mention: Best machine learning framework(s) for production | reddit.com/r/learnmachinelearning | 2022-12-05

    Thanks for the input. To clarify, I am more focused on choosing the modeling framework(s) that makes the most sense to use for future production. For example, is h2o.ai a good framework for training models for later deployment (through something like elastic beanstalk, Flask API's etc.)? I came across a number of mentions of Tensorflow, however it is focused on neural nets while I also want to use classic models such as random forests, etc.

  • cleverhans

    An adversarial example library for constructing attacks, building defenses, and benchmarking both

    Project mention: [D] DL Practitioners, Do You Use Layer Visualization Tools s.a GradCam in Your Process? | reddit.com/r/MachineLearning | 2022-10-28
  • docs

    TensorFlow documentation (by tensorflow)

  • pyprobml

    Python code for "Probabilistic Machine learning" book by Kevin Murphy

  • deepface

    A Lightweight Face Recognition and Facial Attribute Analysis (Age, Gender, Emotion and Race) Library for Python

    Project mention: DAM with face recognition | reddit.com/r/AffinityPhoto | 2022-12-02

    I bought a On1 license, but as you point out, it has no facial recognition nor any plans to add it. That also means it has no concept of face regions as implemented in XMP, so that cannot be retrofitted by running face recognition externally, e.g. using an open-source solution like Deepface.

  • t81_558_deep_learning

    Washington University (in St. Louis) Course T81-558: Applications of Deep Neural Networks

    Project mention: Wednesday Daily Thread: Beginner questions | reddit.com/r/Python | 2022-03-16

    I am just getting into Machine Learning with Python. I have an M1 MacBook Air and (somehow) managed to install Tensorflow according to this tutorial https://github.com/jeffheaton/t81_558_deep_learning/blob/master/install/tensorflow-install-mac-metal-jul-2021.ipynb , which is apparently the bread and butter of machine learning.

  • SaaSHub

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

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). The latest post mention was on 2023-01-25.

Jupyter Notebook Machine Learning related posts


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

Project Stars
1 ML-For-Beginners 43,860
2 TensorFlow-Examples 42,470
3 Made-With-ML 32,164
4 google-research 26,938
5 handson-ml 24,961
6 fastai 23,298
7 homemade-machine-learning 20,796
8 shap 18,392
9 learnopencv 17,813
10 fastbook 17,075
11 nn 16,538
12 python-machine-learning-book 11,770
13 TensorFlow-Tutorials 9,115
14 computervision-recipes 8,812
15 amazon-sagemaker-examples 7,806
16 pycaret 6,833
17 machine-learning-for-trading 6,650
18 H2O 6,119
19 cleverhans 5,681
20 docs 5,582
21 pyprobml 5,394
22 deepface 5,378
23 t81_558_deep_learning 5,098
SaaSHub - Software Alternatives and Reviews
SaaSHub helps you find the best software and product alternatives