Alternatives and similar repositories for aGrUM

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

• BasisResearch / chirho
  An experimental language for causal reasoning
  ☆244Updated 3 weeks ago
• max-little / GRAPL
  GRAPL: A computational library for nonparametric structural causal modelling, analysis and inference
  ☆83Updated last year
• py-why / dodiscover
  [Experimental] Global causal discovery algorithms
  ☆110Updated 2 weeks ago
• pymc-devs / pymc-bart
  ☆134Updated last week
• juangamella / causal-chamber
  Public dataset repository for the Causal Chamber Project
  ☆54Updated last month
• pymc-devs / pymc-examples
  Examples of PyMC models, including a library of Jupyter notebooks.
  ☆358Updated last week
• pymc-devs / pymc-extras
  Powerful add-ons for PyMC
  ☆127Updated last week
• py-why / pywhy-graphs
  [Experimental] Causal graphs that are networkx-compliant for the py-why ecosystem.
  ☆62Updated 2 weeks ago
• msuzen / looper
  A resource list for causality in statistics, data science and physics
  ☆267Updated 2 months ago
• vincentblot28 / conformalized_gp
  ☆48Updated 11 months ago
• scikit-learn-contrib / skglm
  Fast and modular sklearn replacement for generalized linear models
  ☆187Updated 3 months ago
• microprediction / humpday
  Elo ratings for global black box derivative-free optimizers
  ☆142Updated 10 months ago
• stan-dev / pystan
  PyStan, a Python interface to Stan, a platform for statistical modeling. Documentation: https://pystan.readthedocs.io
  ☆359Updated last year
• acerbilab / pyvbmc
  PyVBMC: Variational Bayesian Monte Carlo algorithm for posterior and model inference in Python
  ☆123Updated 3 weeks ago
• MaxHalford / sorobn
  🧮 Bayesian networks in Python
  ☆261Updated 3 weeks ago
• arviz-devs / preliz
  Exploring and eliciting probability distributions
  ☆160Updated last month
• ecotner / statistical-rethinking
  Following along with Statistical Rethinking text on Bayesian modeling by McElreath
  ☆68Updated 5 years ago
• soda-inria / hazardous
  Competing Risks and Survival Analysis
  ☆112Updated 3 months ago
• causalens / cai-causal-graph
  A Causal AI package for causal graphs.
  ☆61Updated last month
• chritoth / active-bayesian-causal-inference
  Active Bayesian Causal Inference (Neurips'22)
  ☆60Updated last year
• statistical-python / yaglm
  A python package for penalized generalized linear models that supports fitting and model selection for structured, adaptive and non-conve…
  ☆58Updated 2 years ago
• GAA-UAM / scikit-fda
  Functional Data Analysis Python package
  ☆337Updated last month
• py-why / pywhy-stats
  Python package for (conditional) independence testing and statistical functions related to causality.
  ☆29Updated last week
• lavinei / pybats
  Bayesian time series forecasting and decision analysis
  ☆120Updated 2 years ago
• causalincentives / pycid
  Library for graphical models of decision making, based on pgmpy and networkx
  ☆111Updated 2 years ago
• aangelopoulos / ppi_py
  A package for statistically rigorous scientific discovery using machine learning. Implements prediction-powered inference.
  ☆270Updated 3 months ago
• y0-causal-inference / y0
  ❓y0 (pronounced "why not?") is for causal inference in Python
  ☆66Updated last week
• amazon-science / azcausal
  Causal Inference in Python
  ☆44Updated 2 months ago
• pymc-devs / sunode
  Solve ODEs fast, with support for PyMC
  ☆117Updated last year
• blei-lab / treeffuser
  Treeffuser is an easy-to-use package for probabilistic prediction and probabilistic regression on tabular data with tree-based diffusion …
  ☆51Updated 3 months ago