Alternatives and similar repositories for validada

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

• rgerkin / pystan-sklearn
  ☆32Updated 7 years ago
• TomAugspurger / postlearn
  Common post-estimation tasks for scikit-learn
  ☆17Updated 8 years ago
• mrocklin / pydata-toolz
  Tutorial for Funcitonal Python tutorial at PyData-NYC 2013
  ☆48Updated 11 years ago
• amueller / patsylearn
  Patsy Adaptors for Scikit-learn
  ☆48Updated 6 years ago
• stitchfix / diamond
  Python solver for mixed-effects models
  ☆97Updated 7 years ago
• altair-viz / altair_widgets
  Interactive data exploration with Altair
  ☆108Updated 4 years ago
• TomAugspurger / mtg
  Materials for my talk at PyData Chicago 2016
  ☆20Updated 8 years ago
• fonnesbeck / scipy2015_tutorial
  Computational Statistics II Tutorial at SciPy 2015
  ☆48Updated 9 years ago
• facultyai / lens
  Summarise and explore Pandas DataFrames
  ☆98Updated 4 years ago
• atavory / ibex
  Pandas Adapters For Scikit-Learn
  ☆53Updated 6 years ago
• parsing-science / pydata_nyc_nov_2017
  ☆30Updated 7 years ago
• dask / old-dask-examples
  Collection of dask example notebooks
  ☆58Updated 7 years ago
• mrocklin / dask-workshop
  ☆28Updated 8 years ago
• jseabold / csc432-notebooks
  These are the IPython notebook files for the CSC 432 Spring '13 course.
  ☆23Updated 10 years ago
• ColCarroll / pydata_nyc2017
  Slides and materials for workshop on "Two views on regression with PyMC3 and scikit-learn"
  ☆19Updated 2 years ago
• CamDavidsonPilon / StartupFiles
  My IPython startup files.
  ☆109Updated 10 years ago
• piccolbo / altair_recipes
  A selection of statistical graphics for vega in python, based on altair.
  ☆101Updated last year
• InsightDataLabs / ipython-notebooks
  ☆31Updated 9 years ago
• DistrictDataLabs / cultivar
  Multidimensional data explorer and visualization tool.
  ☆56Updated 8 years ago
• erikson84 / BayesDataAnalysisWithPyMC
  Python (PyMC) adaptation of the R code from "Doing Bayesian Data Analysis"
  ☆64Updated 8 years ago
• fonnesbeck / multilevel_modeling
  Tutorial on multilevel modeling, using Gelman radon example
  ☆58Updated 9 years ago
• deeplook / pydata_berlin2016_materials
  Collection of pointers to slides and repositories from speakers at PyData Berlin 2016
  ☆37Updated 8 years ago
• DavisTownsend / magi
  high level wrapper for parallel univariate time series forecasting
  ☆17Updated 6 years ago
• stevesimmons / PyDataDC2016-PandasFromTheInside
  Tutorial session from PyData Washington DC, Fri 7 October 2016
  ☆31Updated 8 years ago
• jcbozonier / research
  A collection of IPython Notebooks containing my research.
  ☆20Updated 6 years ago
• dwhitena / dockerized-DS-python
  A simple example of containerized data science with python and Docker.
  ☆51Updated 7 years ago
• usnistgov / pmml_pymcBN
  ☆42Updated 6 years ago
• wrobstory / pdxpython2015
  Portland Python Meetup March 2015
  ☆40Updated 10 years ago
• ioam / paramnb
  Generate ipywidgets from Parameterized objects in the notebook
  ☆36Updated 5 years ago
• dexplo / dexplo
  Data exploration library with a pandas-like API
  ☆74Updated 4 years ago