Alternatives and similar repositories for pyrichlet

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

• JaiPizGon / NeuralSens
  ☆16Updated 2 months ago
• gagolews / genieclust
  Genie: Fast and Robust Hierarchical Clustering with Noise Point Detection - in Python and R
  ☆67Updated 2 weeks ago
• wilsonjr / ClusterShapley
  Explaining dimensionality results using SHAP values
  ☆55Updated 10 months ago
• skdeshpande91 / VCBART
  R implementation of VCBART
  ☆22Updated last week
• mlr-org / mcboost
  Multi-Calibration & Multi-Accuracy Boosting for R
  ☆33Updated 4 months ago
• stephenbates19 / nestedcv
  Nested cross-validation for accurate confidence intervals for prediction error.
  ☆43Updated 3 years ago
• Mamba413 / Ball
  Statistical Inference and Sure Independence Screening via Ball Statistics
  ☆32Updated 5 months ago
• VBayesLab / deepGLM
  Train deepGLM with Matlab, R and Python
  ☆27Updated 2 years ago
• santikka / causaleffect
  causaleffect: R package for identifying causal effects.
  ☆36Updated 2 months ago
• RoheLab / vsp
  Vintage Sparse PCA for Semi-Parametric Network Analysis
  ☆26Updated 3 months ago
• rrtucci / JudeasRx
  python app for doing personalized causal medicine using the methods invented by Judea Pearl et al.
  ☆25Updated 2 years ago
• pzivich / zEpid
  Epidemiology analysis package
  ☆150Updated 2 years ago
• realrate / Causing
  Causing: CAUsal INterpretation using Graphs
  ☆60Updated this week
• assuncaolfi / savvi
  A package for Safe Anytime Valid Inference
  ☆26Updated last year
• StochasticTree / stochtree
  Stochastic tree ensembles (BART / XBART) for supervised learning and causal inference
  ☆61Updated this week
• MateusMaiaDS / gpbart
  Implementation of GP-BART algorithm.
  ☆17Updated last year
• py-why / pywhy-stats
  Python package for (conditional) independence testing and statistical functions related to causality.
  ☆29Updated 2 months ago
• tlverse / tlverse-handbook
  🎯 Targeted Learning in R: A Causal Data Science Handbook
  ☆60Updated last year
• ModelOriented / pyCeterisParibus
  Python library for Ceteris Paribus Plots (What-if plots)
  ☆27Updated 4 years ago
• tansey / hrt
  The holdout randomization test: feature selection using black box predictive models
  ☆22Updated 4 years ago
• nt-williams / lmtp
  Non-parametric Causal Effects Based on Modified Treatment Policies
  ☆75Updated last month
• ryantibs / genlasso
  Path algorithm for generalized lasso problems
  ☆33Updated 3 years ago
• tlverse / causalglm
  Interpretable and model-robust causal inference for heterogeneous treatment effects using generalized linear working models with targeted…
  ☆27Updated 3 years ago
• evdoxiataka / ipme
  An interactive visualization tool that transforms probabilistic programming models into an "Interactive Probabilistic Models Explorer".
  ☆24Updated last year
• dsrobertson / onlineFDR
  Clone of the Bioconductor repository for the onlineFDR package. See https://bioconductor.org/packages/devel/bioc/html/onlineFDR.html for …
  ☆14Updated 4 months ago
• max-little / GRAPL
  GRAPL: A computational library for nonparametric structural causal modelling, analysis and inference
  ☆83Updated 11 months ago
• ivaleraM / GLFM
  General Latent Feature Modeling for Heterogeneous data
  ☆50Updated last year
• yuachen / CausalDA
  Code to reproduce the numerical experiments in the paper Domain adaptation under structural causal models by Yuansi Chen and Peter Bühlma…
  ☆18Updated 4 years ago
• junyzhou10 / MetaLearners
  The package is developed for treatment recommendation & pairwise treatment individual effect estimation (ITE/CATE/HTE) when multiple trea…
  ☆11Updated 2 years ago
• andrewcharlesjones / multi-group-GP
  Multi-group Gaussian process (MGGP)
  ☆23Updated last year