Jupyter Notebook Machine Learning

Open-source Jupyter Notebook projects categorized as Machine Learning | Edit details

Top 23 Jupyter Notebook Machine Learning Projects

  • GitHub repo TensorFlow-Examples

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

    Project mention: Keras vs. TensorFlow | dev.to | 2021-06-06

    A linear regression model

  • GitHub repo MadeWithML

    Learn how to responsibly deliver value with ML.

    Project mention: New to mlops, where do I need to start | reddit.com/r/mlops | 2021-11-01

    Standing recommendation for beginners (we should eventually make a wiki) is https://madewithml.com/

  • Scout APM

    Scout APM: A developer's best friend. Try free for 14-days. Scout APM uses tracing logic that ties bottlenecks to source code so you know the exact line of code causing performance issues and can get back to building a great product faster.

  • GitHub repo ML-For-Beginners

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

    Project mention: Looking for buddy/mentor to study ML/datascience, with some focus on practical skills like cloud training and deployment | reddit.com/r/ProgrammingBuddies | 2021-11-29

    I’m looking for a buddy to study the materials from these 2 Microsoft courses (or at least similar topics): - DS4Beginners - ML4Beginners

  • GitHub repo fastai

    The fastai deep learning library

    Project mention: D I Refuse To Use Pytorch Because Its A Facebook | reddit.com/r/MachineLearning | 2020-12-29

    Also, not a single docstring to document any code in the library - https://github.com/fastai/fastai/blob/master/fastai/vision/learner.py

  • GitHub repo google-research

    Google Research

    Project mention: Simulating trained model in Mujoco | reddit.com/r/reinforcementlearning | 2021-11-24

    I am trying to replicate the results of this paper, which has its code on github. I'm new to Reinforcement Learning, and I do not know how to use the trained model to simulate the behavior in mujoco. If anyone could help me with this, it'd be helpful. Thanks!

  • GitHub repo homemade-machine-learning

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

    Project mention: Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained | reddit.com/r/MachineLearning | 2021-10-27
  • GitHub repo shap

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

    Project mention: How to interpret machine learning models with SHAP values | dev.to | 2021-11-23

    When using SHAP values in model explanation, we can measure the input features’ contribution to individual predictions. We won’t be covering the complex formulas to calculate SHAP values in this article, but we’ll show how to use the SHAP Python library to easily calculate SHAP values.

  • Nanos

    Run Linux Software Faster and Safer than Linux with Unikernels.

  • GitHub repo fastbook

    The fastai book, published as Jupyter Notebooks

    Project mention: What is the most useful free course you have taken? | reddit.com/r/learnmachinelearning | 2021-11-23

    fastai https://www.fast.ai/ it was a game changer for me also there is a lot of additional blogs from students that flesh the material even more, pretty active community with forums and discord server and very useful book that is great as reference (the book available as jupyter notebooks https://github.com/fastai/fastbook)

  • GitHub repo TensorFlow-Tutorials

    TensorFlow Tutorials with YouTube Videos

    Project mention: Plagiarism is just bad | reddit.com/r/github | 2021-02-20

    The majority of this code is taken from the TensorFlow-Tutorials. I highly recommend them to those who want to get started with TensorFlow.

  • GitHub repo pandas-profiling

    Create HTML profiling reports from pandas DataFrame objects

    Project mention: Would you rather use coding to analyze your data or use software (Tableau, PowerBI) that can do it for you? | reddit.com/r/datascience | 2021-10-30

    A lot of good things said here about right tool for the job. One I really dig for certain scenarios are Pandas Profiling.

  • GitHub repo swift

    Swift for TensorFlow (by tensorflow)

    Project mention: Swift on the Server in 2020 | news.ycombinator.com | 2021-04-25

    to be fair, Swift for Tensorflow was dropped (Feb 21) way after this article was written (Aug 20) https://github.com/tensorflow/swift

  • GitHub repo 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.

  • GitHub repo cleverhans

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

  • GitHub repo docs

    TensorFlow documentation (by tensorflow)

    Project mention: Anyone willing to help me out on a discord call or something? | reddit.com/r/learnmachinelearning | 2021-05-27

    This is the model I’m trying to understand and create my own version of: https://github.com/tensorflow/docs/blob/master/site/en/r1/tutorials/sequences/recurrent_quickdraw.md

  • GitHub repo machine-learning-for-trading

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

    Project mention: Machine Learning for Trading: Notebooks, resources and references accompanying the book Machine Learning for Algorithmic Trading. Courses - star count:4384.0 | reddit.com/r/algoprojects | 2021-11-05
  • GitHub repo pycaret

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

    Project mention: How to look for help on data science? | reddit.com/r/datascience | 2021-09-12

    Take a look at Pycaret python library. https://github.com/pycaret/pycaret

  • GitHub repo lucid

    A collection of infrastructure and tools for research in neural network interpretability.

    Project mention: [D] Open source projects for interpretability | reddit.com/r/MachineLearning | 2021-04-28

    You should check out Captum for PyTorch: https://captum.ai/ and tf-explain or lucid (this one is the framework used by distill) for Tensorflow although I think they are both oriented towards Vision interpretability (not sure if you are looking for that).

  • GitHub repo skorch

    A scikit-learn compatible neural network library that wraps PyTorch

    Project mention: Scikit-Learn Version 1.0 | news.ycombinator.com | 2021-09-14

    There are scikit-learn (sklearn) API-compatible wrappers for e.g. PyTorch and TensorFlow.

    Skorch: https://github.com/skorch-dev/skorch

    tf.keras.wrappers.scikit_learn: https://www.tensorflow.org/api_docs/python/tf/keras/wrappers...

  • GitHub repo t81_558_deep_learning

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

    Project mention: Different Outputs on Mac M1 and Windows | reddit.com/r/tensorflow | 2021-11-26
  • GitHub repo machine_learning_basics

    Plain python implementations of basic machine learning algorithms

    Project mention: Bayesian linear regression in (plain) Python | reddit.com/r/Python | 2021-01-29

    A while back I open sourced a repository implementing fundamental machine learning algorithms in Python, along with the most important theoretical information. I originally created the repository for myself when preparing for AI residency interviews. You can find the original Reddit post here.

  • GitHub repo probability

    Probabilistic reasoning and statistical analysis in TensorFlow

    Project mention: What is Probabilistic Programming? | reddit.com/r/learnmachinelearning | 2021-09-06

    This tutorial explains what is probabilistic programming & provides a review of 5 frameworks (PPLs) using an example taken from Chapter 4 of Statistical Rethinking by Dr. Richard McElreath. Frameworks (PPLs) reviewed are - Stan (https://mc-stan.org/) PyMC3 (https://docs.pymc.io/) Tensorflow Probability (https://www.tensorflow.org/probability) Pyro/NumPyro (https://pyro.ai/) Turing.jl (https://turing.ml/stable/) I also provide the basic review of a great library called arviz (https://arviz-devs.github.io/arviz/), which can be used for all the above-mentioned PPLs to do Exploratory Data Analysis of Bayesian Models. Here is the link to the notebook in which I have implemented the example model using the above Frameworks/PPLs https://colab.research.google.com/drive/1zgR2b0j2waGi1ppnIe1rw7emkbBXtMqF?usp=sharing

  • GitHub repo adanet

    Fast and flexible AutoML with learning guarantees.

    Project mention: Show HN: AutoAI | news.ycombinator.com | 2021-11-12

    Looks like a nice project. I just bookmarked it to try sometime.

    At a previous job, my boss wanted me to spend time on AutoML. I based my work on Google’s AdaNet [1] that did architecture search inside a single TensorFlow session. Unfortunately that project seems to have been abandoned.

    [1] https://github.com/tensorflow/adanet

  • GitHub repo ISLR-python

    An Introduction to Statistical Learning (James, Witten, Hastie, Tibshirani, 2013): Python code

    Project mention: ESL vs ISLR books? | reddit.com/r/datascience | 2021-10-12

    Here or here for the Python versions of ISLR.

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 2021-11-29.

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 TensorFlow-Examples 41,447
2 MadeWithML 29,164
3 ML-For-Beginners 27,641
4 fastai 21,674
5 google-research 20,618
6 homemade-machine-learning 18,554
7 shap 14,785
8 fastbook 13,911
9 TensorFlow-Tutorials 8,915
10 pandas-profiling 8,274
11 swift 6,038
12 H2O 5,637
13 cleverhans 5,330
14 docs 4,957
15 machine-learning-for-trading 4,882
16 pycaret 4,432
17 lucid 4,337
18 skorch 4,227
19 t81_558_deep_learning 4,107
20 machine_learning_basics 3,546
21 probability 3,544
22 adanet 3,342
23 ISLR-python 3,331
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