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.
  ☆28Updated last month
• lorismichel / drf
  Distributional Random Forests (Cevid et al., 2020)
  ☆43Updated 2 years ago
• santikka / causaleffect
  causaleffect: R package for identifying causal effects.
  ☆32Updated 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…
  ☆60Updated 6 months ago
• max-little / GRAPL
  GRAPL: A computational library for nonparametric structural causal modelling, analysis and inference
  ☆81Updated 6 months ago
• lee-group-cmu / RFCDE
  Random Forests for Conditional Density Estimation
  ☆42Updated 4 years ago
• dkesada / dbnR
  Gaussian dynamic Bayesian networks structure learning and inference based on the bnlearn package
  ☆57Updated last year
• AngelPone / pyhts
  A python package for hierarchical forecasting, inspired by hts package in R.
  ☆28Updated 5 months ago
• vinecopulib / vinecopulib
  A C++ library for vine copula models (w/ interfaces to R + Python)
  ☆35Updated last month
• lavinei / pybats
  Bayesian time series forecasting and decision analysis
  ☆116Updated 2 years ago
• SelfExplainML / GamiNet
  GAMI-Net: Generalized Additive Models with Structured Interactions
  ☆31Updated 3 years ago
• fabsig / KTBoost
  A Python package which implements several boosting algorithms with different combinations of base learners, optimization algorithms, and …
  ☆63Updated 3 years ago
• zalandoresearch / ACIC23-competition
  Data for and description of the ACIC 2023 data competition
  ☆32Updated 2 years ago
• evdoxiataka / ipme
  An interactive visualization tool that transforms probabilistic programming models into an "Interactive Probabilistic Models Explorer".
  ☆24Updated last year
• matrix-profile-foundation / tsmp
  R Functions implementing UCR Matrix Profile Algorithm
  ☆74Updated 2 years ago
• causalens / cai-causal-graph
  A Causal AI package for causal graphs.
  ☆60Updated 3 months ago
• JohnGoertz / Gumbi
  Gaussian Process Model Building Interface
  ☆51Updated 4 months ago
• py-why / pywhy-graphs
  [Experimental] Causal graphs that are networkx-compliant for the py-why ecosystem.
  ☆56Updated 3 weeks ago
• nredell / shapFlex
  An R package for computing asymmetric Shapley values to assess causality in any trained machine learning model
  ☆75Updated 5 years ago
• ModelOriented / SAFE
  Surrogate Assisted Feature Extraction
  ☆37Updated 3 years ago
• ZebinYang / gaminet
  Generalized additive model with pairwise interactions
  ☆66Updated last year
• robson-fernandes / dbnlearn
  dbnlearn: An R package for Dynamic Bayesian Network Structure Learning, Parameter Learning and Forecasting
  ☆18Updated 4 years ago
• Quantco / tabmat
  Efficient matrix representations for working with tabular data
  ☆123Updated last week
• FK83 / scoringRules
  scoring rules to evaluate probabilistic forecasts
  ☆62Updated 10 months ago
• rizbicki / predictionBands
  R package to compute distribution-free prediction bands using density estimators
  ☆9Updated 3 years ago
• jajcayn / pygpso
  Gaussian-Processes Surrogate Optimisation in python
  ☆19Updated 4 years ago
• rrtucci / JudeasRx
  python app for doing personalized causal medicine using the methods invented by Judea Pearl et al.
  ☆25Updated 2 years ago
• crflynn / skranger
  scikit-learn compatible Python bindings for ranger C++ random forest library
  ☆53Updated 2 years ago
• dmey / synthia
  📈 🐍 Multidimensional synthetic data generation with Copula and fPCA models in Python
  ☆64Updated last year
• mlondschien / changeforest
  Random Forests for Change Point Detection
  ☆54Updated last month