Alternatives and similar repositories for interpreting_ml_tuto

Users that are interested in interpreting_ml_tuto are comparing it to the libraries listed below

• yandexdataschool / MLatGradDays
  Course of Machine Learning in Science and Industry at Heidelberg university
  ☆47Updated 8 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
• fonnesbeck / PyMC3_DataScienceLA
  PyMC3 tutorial for DataScience LA (January 2017)
  ☆67Updated 7 years ago
• bhargavvader / pycobra
  python library implementing ensemble methods for regression, classification and visualisation tools including Voronoi tesselations.
  ☆125Updated 5 years ago
• lmc2179 / bayesian_bootstrap
  bayesian bootstrapping in python
  ☆122Updated 3 years ago
• tmadl / sklearn-interpretable-tree
  Simplified tree-based classifier and regressor for interpretable machine learning (scikit-learn compatible)
  ☆46Updated 4 years ago
• pierreablin / autoptim
  Automatic differentiation + optimization
  ☆102Updated 6 years ago
• junpenglao / Bayesian-Cognitive-Modeling-in-Pymc3
  PyMC3 codes of Lee and Wagenmakers' Bayesian Cognitive Modeling - A Pratical Course
  ☆96Updated 7 years ago
• canyon289 / bayesian-model-evaluation
  Presented at Scipy Conference 2019
  ☆127Updated 5 years ago
• amueller / talks_odt
  Slides and materials for most of my talks by year
  ☆92Updated 2 years ago
• jupyterlab / scipy2018-jupyterlab-tutorial
  Tutorial material and instruction for scipy 2018 jupyterlab tutorial
  ☆73Updated last month
• deniederhut / safe-handling-instructions-for-missing-data
  Code and data for SciPy 2018 talk on missing data
  ☆21Updated 7 years ago
• suriyadeepan / BayesianML
  Experiments in Bayesian Machine Learning
  ☆69Updated 6 years ago
• MI2DataLab / pyBreakDown
  Python implementation of R package breakDown
  ☆43Updated 2 years ago
• danielhanchen / sciblox
  sciblox - Easier Data Science and Machine Learning
  ☆50Updated 8 years ago
• mpearmain / gestalt
  A helper library for data science pipeline
  ☆36Updated 6 years ago
• stitchfix / diamond
  Python solver for mixed-effects models
  ☆97Updated 4 months ago
• vlad17 / np-learn
  Jupyter notebook-post of advanced numpy techniques
  ☆58Updated 6 years ago
• powerscorinne / GLRM
  ☆99Updated 7 years ago
• caioaao / wolpert
  A stacked generalization framework. Built on top of scikit learn
  ☆57Updated 2 years ago
• fastai / randomized-SVD
  demos for PyBay talk: Using Randomness to make code faster
  ☆51Updated 8 years ago
• AllenDowney / BayesSeminar
  Bayesian statistics seminars
  ☆30Updated 8 years ago
• maxsklar / BayesPy
  Bayesian Inference Tools in Python
  ☆109Updated 2 years ago
• jnothman / searchgrid
  Helpers for constructing scikit-learn grid search
  ☆38Updated 5 years ago
• Laurae2 / CategoricalAnalysis
  Analysis of Categorical Encodings for dense Decision Trees
  ☆41Updated 8 years ago
• ogrisel / text-mining-class
  Introduction to web scraping and text mining
  ☆48Updated 5 years ago
• CamDavidsonPilon / PyDataNY_2019_tutorial
  Repo for PyData 2019 Tutorial - New Trends in Estimation and Inference
  ☆27Updated 5 years ago
• ogrisel / pygbm
  Experimental Gradient Boosting Machines in Python with numba.
  ☆187Updated 6 years ago
• ronojoy / pylearn
  Bayesian machine learning in Python
  ☆76Updated 10 years ago
• ContextLab / hypertools-paper-notebooks
  Supporting notebooks and data from hypertools paper
  ☆147Updated 7 years ago