Alternatives and similar repositories for PRIM

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

• Project-Platypus / Rhodium
  Python Library for Robust Decision Making and Exploratory Modelling
  ☆129Updated 2 months ago
• quaquel / EMAworkbench
  workbench for performing exploratory modeling and analysis
  ☆133Updated last month
• jdherman / ptreeopt
  Policy tree optimization: Heuristic policy search for control of dynamic systems. Uses genetic programming to develop binary trees relati…
  ☆32Updated 3 years ago
• guillermo-navas-palencia / clogistic
  Logistic regression with bound and linear constraints. L1, L2 and Elastic-Net regularization.
  ☆33Updated 2 years ago
• microsoft / SparseSC
  Fit Sparse Synthetic Control Models in Python
  ☆83Updated last year
• DanaJomar / PyALE
  ALE Plots with python
  ☆62Updated last year
• nlapier2 / PySensemakr
  Python implementation of the original R sensemakr package: https://github.com/carloscinelli/sensemakr
  ☆51Updated last month
• blent-ai / pycopula
  Python copulas library for dependency modeling
  ☆102Updated 4 years ago
• JakeColtman / bartpy
  Bayesian Additive Regression Trees For Python
  ☆230Updated last year
• kangqiao-ctrl / EnvCausal
  A Causal Inference Framework for Environmental Data Analysis
  ☆21Updated 3 years ago
• edgeslab / CTL
  A causal tree method (Causal Tree Learn (CTL)) for heterogeneous treatment effects in Python
  ☆63Updated last year
• pjaselin / Cubist
  A Python package for fitting Quinlan's Cubist regression model
  ☆48Updated this week
• houghb / savvy
  A tool to visualize high dimensionality sensitivity analysis data
  ☆47Updated 3 years ago
• OpenMORDM / OpenMORDM
  OpenMORDM is an open source R library for Multiobjective Robust Decision Making (MORDM)
  ☆39Updated 9 years ago
• larsroemheld / causalinf_ex_elasticity
  A full example for causal inference on real-world retail data, for elasticity estimation
  ☆50Updated 3 years ago
• timmens / causal-forest
  Implements the Causal Forest algorithm formulated in Athey and Wager (2018).
  ☆70Updated 5 years ago
• quaquel / epa141A_open
  ☆34Updated 3 weeks ago
• blent-ai / ALEPython
  Python Accumulated Local Effects package
  ☆167Updated 2 years ago
• julianneq / Lake_Problem_DPS
  ☆12Updated 4 years ago
• properscoring / properscoring
  Proper scoring rules in Python
  ☆175Updated 2 years ago
• jamalsenouci / causalimpact
  Python port of CausalImpact R library
  ☆287Updated last year
• maximenc / pycop
  Python library for multivariate dependence modeling with Copulas
  ☆111Updated last year
• tcassou / causal_impact
  Python package for causal inference using Bayesian structural time-series models.
  ☆240Updated 4 years ago
• lorismichel / drf
  Distributional Random Forests (Cevid et al., 2020)
  ☆43Updated last year
• lavinei / pybats
  Bayesian time series forecasting and decision analysis
  ☆116Updated 2 years ago
• parsing-science / pymc3_models
  ☆158Updated 2 years ago
• alteryx / categorical_encoding
  Repository for the research and implementation of categorical encoding into a Featuretools-compatible Python library
  ☆51Updated 2 years ago
• DataDog / piecewise
  ## Auto-archived due to inactivity. ## Functions for piecewise regression on time series data
  ☆107Updated 6 years ago
• CollinRooney12 / htsprophet
  Hierarchical Time Series Forecasting using Prophet
  ☆144Updated 4 years ago
• CamDavidsonPilon / lifestyles
  Work-In-Progress: conjoint analysis in Python
  ☆52Updated 7 years ago