Alternatives and similar repositories for python-biplot

Users that are interested in python-biplot are comparing it to the libraries listed below

• parsing-science / pymc3_models
  ☆159Updated 3 years ago
• fonnesbeck / PyMC3_DataScienceLA
  PyMC3 tutorial for DataScience LA (January 2017)
  ☆67Updated 7 years ago
• springcoil / probabilisticprogrammingprimer
  ☆90Updated 4 years ago
• parsing-science / pymc3_quickstart_guide
  ☆80Updated 9 years ago
• kshedden / Statsmodels-MixedLM
  Teaching materials for Python MixedLM (mixed linear models)
  ☆48Updated 8 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
• scikit-learn-contrib / forest-confidence-interval
  Confidence intervals for scikit-learn forest algorithms
  ☆290Updated 6 months ago
• numeristical / introspective
  Repo for the ML_Insights python package
  ☆153Updated 6 months ago
• esafak / mca
  Multiple correspondence analysis
  ☆181Updated last month
• EthanRosenthal / skits
  scikit-learn-inspired time series
  ☆200Updated last year
• fonnesbeck / multilevel_modeling
  Tutorial on multilevel modeling, using Gelman radon example
  ☆58Updated 10 years ago
• pymc-learn / pymc-learn
  pymc-learn: Practical probabilistic machine learning in Python
  ☆232Updated 4 years ago
• lmc2179 / bayesian_bootstrap
  bayesian bootstrapping in python
  ☆122Updated 3 years ago
• dimenwarper / chainlearn
  Mini module with syntax sugar for pandas/sklearn
  ☆107Updated 5 years ago
• godatadriven / evol
  a python grammar for evolutionary algorithms and heuristics
  ☆191Updated 3 years ago
• ericmjl / bayesian-stats-talk
  Doing Bayesian statistics in Python!
  ☆67Updated 7 years ago
• iiSeymour / sparkline-nb
  Render sparkline style charts in pandas dataframes
  ☆93Updated 4 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
• WinVector / pyvtreat
  vtreat is a data frame processor/conditioner that prepares real-world data for predictive modeling in a statistically sound manner. Distr…
  ☆121Updated 9 months ago
• luke14free / pm-prophet
  GAM timeseries modeling with auto-changepoint detection. Inspired by Facebook Prophet and implemented in PyMC3
  ☆327Updated 5 years ago
• hammerlab / survivalstan
  Library of Stan Models for Survival Analysis
  ☆124Updated 5 years ago
• ogrisel / text-mining-class
  Introduction to web scraping and text mining
  ☆48Updated 5 years ago
• amueller / patsylearn
  Patsy Adaptors for Scikit-learn
  ☆48Updated 6 years ago
• canyon289 / bayesian-model-evaluation
  Presented at Scipy Conference 2019
  ☆127Updated 5 years ago
• has2k1 / plydata
  A grammar for data manipulation in Python
  ☆280Updated 2 years ago
• ericmjl / causality
  In which I play with the ideas surrounding causality
  ☆54Updated 3 years ago
• madrury / py-glm
  Generalized Linear Models in Sklearn Style
  ☆130Updated 5 years ago
• AustinRochford / PyCEbox
  ⬛ Python Individual Conditional Expectation Plot Toolbox
  ☆165Updated 5 years ago
• ericmjl / bayesian-deep-learning-demystified
  In which I try to demystify the fundamental concepts behind Bayesian deep learning.
  ☆123Updated 7 years ago
• civisanalytics / civisml-extensions
  scikit-learn-compatible estimators from Civis Analytics
  ☆59Updated 4 years ago