Open source projects in Jupyter Notebook

  • sigopt/sigopt-examples

    Optimization Examples with SigOpt

    ☕Jupyter Notebook   ★182 stars   ⚠3 open issues   ⚭3 contributors   ☯over 5 years old  
  • carpedm20/NTM-tensorflow

    "Neural Turing Machine" in Tensorflow

    ☕Jupyter Notebook   ★995 stars   ⚠11 open issues   ⚭1 contributors   ☯almost 5 years old  
  • h2oai/h2o-3

    Open Source Fast Scalable Machine Learning Platform For Smarter Applications: Deep Learning, Gradient Boosting & XGBoost, Random Forest, Generalized Linear Modeling (Logistic Regression, Elastic Net), K-Means, PCA, Stacked Ensembles, Automatic Machine Learning (AutoML), etc.

    ☕Jupyter Notebook   ★4905 stars   ⚠115 open issues   ⚭44 contributors   ☯over 6 years old  
  • aymericdamien/TensorFlow-Examples

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

    ☕Jupyter Notebook   ★38207 stars   ⚠198 open issues   ⚭3 contributors   ☯almost 5 years old  
  • rasbt/python-machine-learning-book

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

    ☕Jupyter Notebook   ★10745 stars   ⚠8 open issues   ⚭2 contributors   ☯about 5 years old  
  • ioos/conda-recipes

    conda-recipes for IOOS packages

    ☕Jupyter Notebook   ★19 stars   ⚠0 open issues   ⚭15 contributors   ☯over 6 years old  
  • jvns/neural-nets-are-weird

    ☕Jupyter Notebook   ★162 stars   ⚠14 open issues   ⚭2 contributors   ☯almost 5 years old  
  • rlabbe/Kalman-and-Bayesian-Filters-in-Python

    Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.

    ☕Jupyter Notebook   ★8308 stars   ⚠33 open issues   ⚭26 contributors   ☯over 6 years old  
  • clarafj/covariance-dictionary

    Low-rank models of structured data

    ☕Jupyter Notebook   ★1 stars   ⚠0 open issues   ⚭1 contributors   ☯about 5 years old  
  • emergingstack/es-dev-stack

    An on-premises, bare-metal solution for deploying GPU-powered applications in containers

    ☕Jupyter Notebook   ★257 stars   ⚠1 open issues   ⚭1 contributors   ☯almost 5 years old  
  • ftzeng/ai_notes

    machine learning/artificial intelligence notes

    ☕Jupyter Notebook   ★87 stars   ⚠0 open issues   ⚭1 contributors   ☯about 5 years old  
  • quantopian/pyfolio

    Portfolio and risk analytics in Python

    ☕Jupyter Notebook   ★2921 stars   ⚠109 open issues   ⚭19 contributors   ☯over 5 years old  
  • CamDavidsonPilon/Probabilistic-Programming-and-Bayesian-Methods-for-Hackers

    aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)

    ☕Jupyter Notebook   ★21532 stars   ⚠169 open issues   ⚭96 contributors   ☯almost 8 years old  
  • hal3/vwnlp

    Solving NLP problems with Vowpal Wabbit: Tutorial and more

    ☕Jupyter Notebook   ★179 stars   ⚠4 open issues   ⚭1 contributors   ☯almost 5 years old  
  • nivwusquorum/tensorflow-deepq

    A deep Q learning demonstration using Google Tensorflow

    ☕Jupyter Notebook   ★1117 stars   ⚠6 open issues   ⚭5 contributors   ☯almost 5 years old  
  • millejoh/emacs-ipython-notebook

    Jupyter notebook client in Emacs

    ☕Jupyter Notebook   ★1092 stars   ⚠6 open issues   ⚭11 contributors   ☯over 6 years old  
  • torch/tutorials

    A series of machine learning tutorials for Torch7

    ☕Jupyter Notebook   ★622 stars   ⚠16 open issues   ⚭10 contributors   ☯over 8 years old  
  • brianchandbound/ga-ds

    General Assembly Data Science - Winter 2015 Course Materials

    ☕Jupyter Notebook   ★10 stars   ⚠0 open issues   ⚭1 contributors   ☯almost 5 years old  
  • ericjang/genadv_tutorial

    TensorFlow tutorial on Generative Adversarial Models

    ☕Jupyter Notebook   ★253 stars   ⚠3 open issues   ⚭1 contributors   ☯almost 5 years old  
  • li8bot/python-machine-learning-book

    The "Python Machine Learning" book code repository and info resource

    ☕Jupyter Notebook   ★1 stars   ⚠0 open issues   ⚭2 contributors   ☯almost 5 years old  
  • li8bot/pattern_classification

    A collection of tutorials and examples for solving and understanding machine learning and pattern classification tasks

    ☕Jupyter Notebook   ★1 stars   ⚠0 open issues   ⚭6 contributors   ☯almost 5 years old  
  • li8bot/datacollect

    A collection of tools to collect and download various data.

    ☕Jupyter Notebook   ★1 stars   ⚠0 open issues   ⚭1 contributors   ☯almost 5 years old  
  • li8bot/python_reference

    Useful functions, tutorials, and other Python-related things

    ☕Jupyter Notebook   ★1 stars   ⚠0 open issues   ⚭5 contributors   ☯almost 5 years old  
  • colour-science/colour-demosaicing

    CFA (Colour Filter Array) Demosaicing Algorithms for Python

    ☕Jupyter Notebook   ★28 stars   ⚠0 open issues   ⚭1 contributors   ☯about 5 years old  
  • mendelvantriet/edX-Berkeley-big_data_with_apache_spark

    ☕Jupyter Notebook   ★1 stars   ⚠0 open issues   ⚭1 contributors   ☯almost 5 years old  
  • gtnx/pandas-highcharts

    Beautiful charting of pandas.DataFrame with Highcharts

    ☕Jupyter Notebook   ★174 stars   ⚠18 open issues   ⚭4 contributors   ☯almost 6 years old  
  • mGalarnyk/DSE200_Python_for_Data_Analysis

    Homework/Classwork for my DSE 200 Python for Data Analysis Class at UC San Diego (UCSD)

    ☕Jupyter Notebook   ★60 stars   ⚠0 open issues   ⚭2 contributors   ☯almost 5 years old  
  • bobholt/ml

    Machine Learning Experiments

    ☕Jupyter Notebook   ★1 stars   ⚠0 open issues   ⚭1 contributors   ☯almost 5 years old  
  • elbamos/NeuralTopicModels

    Neural Topic Models

    ☕Jupyter Notebook   ★36 stars   ⚠0 open issues   ⚭1 contributors   ☯almost 5 years old  
  • Elucidation/lumpsum_vs_dca

    Comparing Lump Sum vs. Dollar Cost Averaging strategies, a simple experiment

    ☕Jupyter Notebook   ★9 stars   ⚠0 open issues   ⚭1 contributors   ☯almost 5 years old