Jupyter Notebook Python

Open-source Jupyter Notebook projects categorized as Python | Edit details

Top 23 Jupyter Notebook Python 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 PythonDataScienceHandbook

    Python Data Science Handbook: full text in Jupyter Notebooks

    Project mention: If you had to learn python as a total beginner from all start, how would you proceed learning it? | reddit.com/r/learnprogramming | 2021-11-21
  • Nanos

    Run Linux Software Faster and Safer than Linux with Unikernels.

  • 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/

  • 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 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 pytudes

    Python programs, usually short, of considerable difficulty, to perfect particular skills.

    Project mention: What could I implement for this year's Advent in advance? | reddit.com/r/adventofcode | 2021-11-23

    Peter's Norvig repo contains solutions from last year, 'Day 0' from 2020 contains utils functions etc. https://github.com/norvig/pytudes/blob/main/ipynb/Advent-2020.ipynb

  • 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 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 PRML

    PRML algorithms implemented in Python

    Project mention: Probabilistic Machine Learning, Kevin Murphy (2nd edition, 2021) | news.ycombinator.com | 2020-12-31

    It's a regression as far as code readability goes for fairly straightforward reasons: almost everything in Matlab is a matrix. Matrices are not first class citizens in Python, and it matters. I use Python a hell of a lot more than Matlab, but for examining how an algorithm works, Matlab wins. Go look at these PRML collections in Python and Matlab and see if you disagree:



  • 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 PySyft

    A library for answering questions using data you cannot see

    Project mention: Help on creating a Federated Recommender System | reddit.com/r/MLQuestions | 2021-08-17

    Or do I have to actually simulate the whole client server thing because thats how these frameworks do it - Flower and Pysyft .

  • GitHub repo Data-Science-For-Beginners

    10 Weeks, 20 Lessons, Data Science 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 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 TTS

    :robot: :speech_balloon: Deep learning for Text to Speech (Discussion forum: https://discourse.mozilla.org/c/tts)

    Project mention: Free/cheap text to speech voice for public sharing? | reddit.com/r/HelpMeFind | 2021-11-15

    Mozilla TTS Tacotron

  • 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 py

    Repository to store sample python programs for python learning

    Project mention: Andrew Ng or more hands-on course? | reddit.com/r/learnmachinelearning | 2021-08-02

    I will give it a look into Ng's course, try out some of the resources in this github and look into this website too

  • GitHub repo BigDL

    Building Large-Scale AI Applications for Distributed Big Data

    Project mention: Machine learning on JVM | reddit.com/r/scala | 2021-04-05

    Intel BigDL for Spark which again is for Spark.

  • 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 Financial-Models-Numerical-Methods

    Collection of notebooks about quantitative finance, with interactive python code.

    Project mention: Ask HN: Best Resources on (Computational) Finance | news.ycombinator.com | 2021-01-30

    I found this collection of Jupyter notebooks really well done. Some basic knowledge in stochastic calculus, financial mathematics and statistics is needed.


  • GitHub repo Quantum

    Microsoft Quantum Development Kit Samples (by microsoft)

    Project mention: Shor's Algorithm | reddit.com/r/QuantumComputing | 2021-11-05

    Here's a nice blog post which contains references. It uses Q#, and Microsoft has many online resources as well, namely a here and here.

  • 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 nbdev

    Create delightful python projects using Jupyter Notebooks

    Project mention: How an ideal IDE for Python notebooks should look like? | reddit.com/r/datascience | 2021-11-15

    For creating reusable code in notebook, there is a package nbdev from fastai that makes writing modules/libraries in notebook a good idea.

  • GitHub repo course-nlp

    A Code-First Introduction to NLP course

    Project mention: Ex-Googlers raise $40M to democratize natural-language AI | news.ycombinator.com | 2021-09-07

    fast.ai are doing the best work democratizing AI (machine learning and neural networks), including natural language

    Can't recommend the course enough and it's incredible that such a quality resource is available for essentially zero cost



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 Python related posts


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

Project Stars
1 TensorFlow-Examples 41,447
2 PythonDataScienceHandbook 31,827
3 MadeWithML 29,164
4 ML-For-Beginners 27,641
5 fastai 21,674
6 homemade-machine-learning 18,554
7 pytudes 17,190
8 fastbook 13,945
9 PRML 10,004
10 pandas-profiling 8,274
11 PySyft 7,783
12 Data-Science-For-Beginners 7,450
13 H2O 5,637
14 TTS 5,372
15 pycaret 4,432
16 py 4,083
17 BigDL 3,806
18 machine_learning_basics 3,546
19 Financial-Models-Numerical-Methods 3,511
20 Quantum 3,445
21 adanet 3,342
22 nbdev 3,045
23 course-nlp 3,011
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