Alternatives and similar repositories for reskit

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

• ContextLab / hypertools-paper-notebooks
  Supporting notebooks and data from hypertools paper
  ☆145Updated 7 years ago
• fonnesbeck / PyMC3_DataScienceLA
  PyMC3 tutorial for DataScience LA (January 2017)
  ☆67Updated 7 years ago
• csaid / polished_notebooks
  Jupyter notebook presentations with optional code visibility and no ugly elements
  ☆68Updated 8 years ago
• jmcarpenter2 / parfit
  A package for parallelizing the fit and flexibly scoring of sklearn machine learning models, with visualization routines.
  ☆199Updated 2 years ago
• GaelVaroquaux / interpreting_ml_tuto
  Tutorial on interpreting and understanding machine learning models
  ☆69Updated 7 years ago
• junpenglao / Bayesian-Cognitive-Modeling-in-Pymc3
  PyMC3 codes of Lee and Wagenmakers' Bayesian Cognitive Modeling - A Pratical Course
  ☆96Updated 8 years ago
• stitchfix / diamond
  Python solver for mixed-effects models
  ☆97Updated 8 months ago
• rhiever / sklearn-benchmarks
  A centralized repository to report scikit-learn model performance across a variety of parameter settings and data sets.
  ☆213Updated 8 years ago
• jnothman / searchgrid
  Helpers for constructing scikit-learn grid search
  ☆39Updated 5 years ago
• paris-saclay-cds / ramp-workflow
  Toolkit for building predictive workflows on top of pydata (pandas, scikit-learn, pytorch, keras, etc.).
  ☆74Updated 10 months ago
• jakevdp / altair-examples
  Some examples of Altair plots
  ☆92Updated 6 years ago
• amueller / patsylearn
  Patsy Adaptors for Scikit-learn
  ☆48Updated 6 years ago
• kshedden / Statsmodels-MixedLM
  Teaching materials for Python MixedLM (mixed linear models)
  ☆48Updated 8 years ago
• bhargavvader / pycobra
  python library implementing ensemble methods for regression, classification and visualisation tools including Voronoi tesselations.
  ☆125Updated 5 years ago
• pavanramkumar / pydata-chicago-2016
  Talk and demo notebooks for PyData Chicago, August 2016: http://pydata.org/chicago2016/schedule/presentation/15/
  ☆11Updated 9 years ago
• jonsedar / pymc3_vs_pystan
  Personal project to compare hierarchical linear regression in PyMC3 and PyStan, as presented at http://pydata.org/london2016/schedule/pre…
  ☆127Updated 9 years ago
• fonnesbeck / multilevel_modeling
  Tutorial on multilevel modeling, using Gelman radon example
  ☆58Updated 10 years ago
• roycoding / slots
  A multi-armed bandit library for Python
  ☆82Updated 6 years ago
• dask / dask-searchcv
  dask-searchcv is now part of dask-ml: https://github.com/dask/dask-ml
  ☆241Updated 7 years ago
• ronojoy / pylearn
  Bayesian machine learning in Python
  ☆76Updated 10 years ago
• civisanalytics / civisml-extensions
  scikit-learn-compatible estimators from Civis Analytics
  ☆59Updated 4 years ago
• parsing-science / pymc3_quickstart_guide
  ☆80Updated 9 years ago
• strawlab / best
  Bayesian estimation supersedes the t test
  ☆145Updated 4 years ago
• vlad17 / np-learn
  Jupyter notebook-post of advanced numpy techniques
  ☆58Updated 7 years ago
• ioam / jupytercon2017-holoviews-tutorial
  HoloViews+Bokeh tutorial for JupyterCon 2017
  ☆51Updated 3 years ago
• lmc2179 / bayesian_bootstrap
  bayesian bootstrapping in python
  ☆123Updated 3 years ago
• jrmontag / mnist-sklearn
  Code and notes from using scikit-learn on the MNIST digits dataset. For more of a narrative on this project, see the article:
  ☆29Updated 10 years ago
• dwhitena / dockerized-DS-python
  A simple example of containerized data science with python and Docker.
  ☆51Updated 7 years ago
• facultyai / lens
  Summarise and explore Pandas DataFrames
  ☆98Updated 5 years ago
• MLWave / Black-Boxxy
  Some experiments into explaining complex black box ensemble predictions.
  ☆74Updated 6 years ago