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 week
• lavinei / pybats
  Bayesian time series forecasting and decision analysis
  ☆117Updated 2 years ago
• AngelPone / pyhts
  A python package for hierarchical forecasting, inspired by hts package in R.
  ☆28Updated 8 months ago
• lorismichel / drf
  Distributional Random Forests (Cevid et al., 2020)
  ☆45Updated 2 years ago
• causalens / cai-causal-graph
  A Causal AI package for causal graphs.
  ☆60Updated this week
• zalandoresearch / ACIC23-competition
  Data for and description of the ACIC 2023 data competition
  ☆32Updated 2 years ago
• max-little / GRAPL
  GRAPL: A computational library for nonparametric structural causal modelling, analysis and inference
  ☆83Updated 10 months ago
• matrix-profile-foundation / tsmp
  R Functions implementing UCR Matrix Profile Algorithm
  ☆74Updated 3 years ago
• lee-group-cmu / RFCDE
  Random Forests for Conditional Density Estimation
  ☆42Updated 4 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
• mad-stat / Epicasting
  Ensemble wavelet based neural network for generating epidemiological forecasting (epicasting)
  ☆15Updated last month
• alexhallam / tablespoon
  🥄✨Time-series Benchmark methods that are Simple and Probabilistic
  ☆41Updated last year
• ModelOriented / SAFE
  Surrogate Assisted Feature Extraction
  ☆37Updated 4 years ago
• santikka / causaleffect
  causaleffect: R package for identifying causal effects.
  ☆36Updated last month
• dkesada / dbnR
  Gaussian dynamic Bayesian networks structure learning and inference based on the bnlearn package
  ☆58Updated last year
• rizbicki / predictionBands
  R package to compute distribution-free prediction bands using density estimators
  ☆11Updated 4 years ago
• xqnwang / conformalForecast
  Methods and tools for multistep-ahead time series conformal prediction.
  ☆42Updated 2 weeks ago
• jessegrabowski / pymc_statespace
  A system for Bayesian estimation of state space models using PyMC
  ☆36Updated 3 months ago
• vinecopulib / vinecopulib
  A C++ library for vine copula models (w/ interfaces to R + Python)
  ☆36Updated last month
• pedemonte96 / causaleffect
  Python package to compute conditional and non-conditional causal effects.
  ☆36Updated 3 years ago
• rrtucci / JudeasRx
  python app for doing personalized causal medicine using the methods invented by Judea Pearl et al.
  ☆25Updated 2 years ago
• yaronshap / GloballyConsistentRules
  Implementation of algorithms from the paper "Globally-Consistent Rule-Based Summary-Explanations for Machine Learning Models: Application…
  ☆25Updated 3 years ago
• mlondschien / changeforest
  Random Forests for Change Point Detection
  ☆59Updated this week
• JohnGoertz / Gumbi
  Gaussian Process Model Building Interface
  ☆51Updated 7 months ago
• arviz-devs / EABM
  Source repository for the online book Exploratory Analysis of Bayesian Models.
  ☆25Updated this week
• py-why / dodiscover
  [Experimental] Global causal discovery algorithms
  ☆108Updated this week
• ZebinYang / gaminet
  Generalized additive model with pairwise interactions
  ☆66Updated last year
• DarkEyes / VLTimeSeriesCausality
  A framework to infer causality on a pair of time series of real numbers based on Variable-lag Granger causality and transfer entropy.
  ☆56Updated last year
• lanl / pyBASS
  Bayesian Adaptive Spline Surfaces for flexible and automatic regression
  ☆25Updated last month