Alternatives and similar repositories for dagsim

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

• py-why / pywhy-stats
  Python package for (conditional) independence testing and statistical functions related to causality.
  ☆29Updated this week
• lavinei / pybats
  Bayesian time series forecasting and decision analysis
  ☆120Updated 2 years ago
• lorismichel / drf
  Distributional Random Forests (Cevid et al., 2020)
  ☆45Updated this week
• AngelPone / pyhts
  A python package for hierarchical forecasting, inspired by hts package in R.
  ☆29Updated 9 months ago
• SelfExplainML / GamiNet
  GAMI-Net: Generalized Additive Models with Structured Interactions
  ☆31Updated 3 years ago
• santikka / causaleffect
  causaleffect: R package for identifying causal effects.
  ☆36Updated 2 months ago
• ZebinYang / gaminet
  Generalized additive model with pairwise interactions
  ☆67Updated last year
• lee-group-cmu / RFCDE
  Random Forests for Conditional Density Estimation
  ☆43Updated 4 years ago
• vinecopulib / vinecopulib
  A C++ library for vine copula models (w/ interfaces to R + Python)
  ☆36Updated 3 weeks ago
• alexhallam / tablespoon
  🥄✨Time-series Benchmark methods that are Simple and Probabilistic
  ☆41Updated 2 years ago
• max-little / GRAPL
  GRAPL: A computational library for nonparametric structural causal modelling, analysis and inference
  ☆83Updated 11 months ago
• JohnGoertz / Gumbi
  Gaussian Process Model Building Interface
  ☆51Updated 9 months ago
• Techtonique / ahead_python
  Univariate and multivariate time series forecasting, with uncertainty quantification (Python & R)
  ☆13Updated last month
• causalens / cai-causal-graph
  A Causal AI package for causal graphs.
  ☆60Updated 2 weeks ago
• yubin-park / palobst
  PaloBoost is an overfitting-robust Gradient Boosting algorithm.
  ☆15Updated 5 years ago
• dkesada / dbnR
  Gaussian dynamic Bayesian networks structure learning and inference based on the bnlearn package
  ☆60Updated last year
• lanl / pyBASS
  Bayesian Adaptive Spline Surfaces for flexible and automatic regression
  ☆25Updated last month
• xqnwang / conformalForecast
  Methods and tools for multistep-ahead time series conformal prediction.
  ☆42Updated 2 months ago
• zalandoresearch / ACIC23-competition
  Data for and description of the ACIC 2023 data competition
  ☆32Updated 2 years ago
• annennenne / causalDisco
  Tools for causal discovery in R
  ☆20Updated 9 months ago
• MLResearchAtOSRAM / cause2e
  The cause2e package provides tools for performing an end-to-end causal analysis of your data. Developed by Daniel Grünbaum (@dg46).
  ☆63Updated 7 months ago
• mlondschien / changeforest
  Random Forests for Change Point Detection
  ☆59Updated 3 weeks ago
• nredell / shapFlex
  An R package for computing asymmetric Shapley values to assess causality in any trained machine learning model
  ☆74Updated 5 years ago
• pyartemis / artemis
  A Python package with explanation methods for extraction of feature interactions from predictive models
  ☆32Updated 2 years 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
• krassowski / jupyterlab-dagitty
  JupyterLab renderer of dagitty causal diagrams
  ☆24Updated 2 years ago
• cran / bnlearn
   This is a read-only mirror of the CRAN R package repository. bnlearn — Bayesian Network Structure Learning, Parameter Learning and Infe…
  ☆61Updated 3 months ago
• evdoxiataka / ipme
  An interactive visualization tool that transforms probabilistic programming models into an "Interactive Probabilistic Models Explorer".
  ☆24Updated last year
• yaronshap / GloballyConsistentRules
  Implementation of algorithms from the paper "Globally-Consistent Rule-Based Summary-Explanations for Machine Learning Models: Application…
  ☆25Updated 3 years ago