Alternatives and similar repositories for foundations-of-numerical-computing

Users that are interested in foundations-of-numerical-computing are comparing it to the libraries listed below

• GaelVaroquaux / interpreting_ml_tuto
  Tutorial on interpreting and understanding machine learning models
  ☆69Updated 6 years ago
• amueller / talks_odt
  Slides and materials for most of my talks by year
  ☆92Updated last year
• jupyterlab / scipy2018-jupyterlab-tutorial
  Tutorial material and instruction for scipy 2018 jupyterlab tutorial
  ☆73Updated 6 years ago
• AlexIoannides / pymc-example-project
  Example PyMC3 project for performing Bayesian data analysis using a probabilistic programming approach to machine learning.
  ☆105Updated 6 years ago
• yandexdataschool / MLatGradDays
  Course of Machine Learning in Science and Industry at Heidelberg university
  ☆47Updated 8 years ago
• amueller / scipy-2018-sklearn
  Scipy 2018 scikit-learn tutorial by Guillaume Lemaitre and Andreas Mueller
  ☆248Updated 6 years ago
• gatsoulis / a_little_book_of_python_for_multivariate_analysis
  A Little Book of Python for Multivariate Analysis
  ☆87Updated 9 years ago
• fastai / sklearn-pandas
  Pandas integration with sklearn
  ☆21Updated 8 years ago
• tirthajyoti / Interactive_Machine_Learning
  IPython widgets, interactive plots, interactive machine learning
  ☆151Updated 6 years ago
• vlad17 / np-learn
  Jupyter notebook-post of advanced numpy techniques
  ☆58Updated 6 years ago
• sky-uk / anticipy
  A Python library for time series forecasting
  ☆82Updated last month
• fastai / randomized-SVD
  demos for PyBay talk: Using Randomness to make code faster
  ☆51Updated 7 years ago
• amueller / ml-training-advanced
  Materials for the "Advanced Scikit-learn" class in the afternoon
  ☆165Updated 6 years ago
• ericmjl / bayesian-stats-talk
  Doing Bayesian statistics in Python!
  ☆67Updated 7 years ago
• canyon289 / bayesian-model-evaluation
  Presented at Scipy Conference 2019
  ☆127Updated 5 years ago
• buruzaemon / IntroductionToProbabilityPy
  Jupyter notebooks with the Python equivalent to the R code sections in Blitzstein and Hwang's Introduction To Probability, Second Edition
  ☆74Updated 6 years ago
• rasbt / msu-datascience-ml-tutorial-2018
  Machine learning with Python tutorial at MSU Data Science 2018
  ☆109Updated 7 years ago
• CamDavidsonPilon / PyDataNY_2019_tutorial
  Repo for PyData 2019 Tutorial - New Trends in Estimation and Inference
  ☆25Updated 5 years ago
• ogrisel / pygbm
  Experimental Gradient Boosting Machines in Python with numba.
  ☆185Updated 6 years ago
• neerjad / DataVisualization
  Tutorials on visualizing data using python packages like bokeh, plotly, seaborn and igraph
  ☆268Updated 5 years ago
• AllenDowney / BayesSeminar
  Bayesian statistics seminars
  ☆30Updated 8 years ago
• seba-1511 / randopt
  Streamlined machine learning experiment management.
  ☆107Updated 5 years ago
• rasbt / interpretable-ml-article
  Code examples for my Interpretable Machine Learning Blog Series
  ☆57Updated 4 years ago
• samuelleach / python-notebooks
  Python notebooks for demonstrating various ideas, APIs, libraries.
  ☆32Updated 8 years ago
• vinayprabhu / Network_Science_Meets_Deep_Learning
  Designing Deep neural network architectures using topologies from the world of Complex Networks/network Science
  ☆91Updated 6 years ago
• dhaitz / machine-learning-interactive-visualization
  Interactive visualization of machine learning model evaluation metrics
  ☆63Updated 5 years ago
• radekosmulski / python_musings
  ☆36Updated 5 years ago
• danielhanchen / sciblox
  sciblox - Easier Data Science and Machine Learning
  ☆50Updated 8 years ago
• deniederhut / safe-handling-instructions-for-missing-data
  Code and data for SciPy 2018 talk on missing data
  ☆21Updated 7 years ago
• croach / statistics-for-hackers
  A Jupyter notebook to accompany Jake VanderPlas's "Statistics for Hackers" talk from PyCon 2016.
  ☆76Updated 6 years ago