Alternatives and similar repositories for causalgraphicalmodels

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

• JakeColtman / bartpy
  Bayesian Additive Regression Trees For Python
  ☆230Updated last year
• ijmbarr / notes-on-causal-inference
  Some notes on Causal Inference, with examples in python
  ☆154Updated 5 years ago
• laurencium / Causalinference
  Causal Inference in Python
  ☆573Updated 5 months ago
• amit-sharma / causal-inference-tutorial
  Repository with code and slides for a tutorial on causal inference.
  ☆583Updated 6 years ago
• DataForScience / Causality
  ☆470Updated last year
• inovex / justcause
  💊 Comparing causality methods in a fair and just way.
  ☆141Updated 5 years ago
• msuzen / looper
  A resource list for causality in statistics, data science and physics
  ☆266Updated last month
• bd2kccd / py-causal
  ☆205Updated 2 years ago
• ksachdeva / rethinking-tensorflow-probability
  Statistical Rethinking (2nd Ed) with Tensorflow Probability
  ☆273Updated 3 years ago
• pymc-learn / pymc-learn
  pymc-learn: Practical probabilistic machine learning in Python
  ☆232Updated 4 years ago
• altdeep / causalML
  The open source repository for the Causal Modeling in Machine Learning Workshop at Altdeep.ai @ www.altdeep.ai/courses/causalML
  ☆785Updated 5 months ago
• tcassou / causal_impact
  Python package for causal inference using Bayesian structural time-series models.
  ☆244Updated 5 years ago
• max-little / GRAPL
  GRAPL: A computational library for nonparametric structural causal modelling, analysis and inference
  ☆83Updated 11 months ago
• py-why / causaltune
  AutoML for causal inference.
  ☆231Updated 11 months ago
• discdiver / causal-inference-python-packages
  List of python packages for causal inference
  ☆17Updated 4 years ago
• BiomedSciAI / causallib
  A Python package for modular causal inference analysis and model evaluations
  ☆799Updated 7 months ago
• microsoft / project-azua
  Data Efficient Decision Making
  ☆249Updated 3 years ago
• fehiepsi / rethinking-numpyro
  Statistical Rethinking (2nd ed.) with NumPyro
  ☆464Updated 6 months ago
• napsternxg / awesome-causality
  Resources related to causality
  ☆266Updated last year
• junpenglao / advance-bayesian-modelling-with-PyMC3
  ☆240Updated 7 years ago
• ericmjl / causality
  In which I play with the ideas surrounding causality
  ☆54Updated 3 years ago
• luke14free / pm-prophet
  GAM timeseries modeling with auto-changepoint detection. Inspired by Facebook Prophet and implemented in PyMC3
  ☆327Updated 5 years 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
• MBrouns / timeseers
  Time should be taken seer-iously
  ☆319Updated 2 years ago
• AmpersandTV / pymc3-hmm
  Hidden Markov models in PyMC3
  ☆99Updated last year
• JingyuHe / XBART
  ☆92Updated 11 months ago
• pymc-devs / pymc-bart
  ☆131Updated this week
• brendanhasz / probflow
  A Python package for building Bayesian models with TensorFlow or PyTorch
  ☆176Updated 3 years ago
• pyro-ppl / Pyro-M5-Starter-Kit
  Learn Pyro through the M5 forecasting competition
  ☆86Updated 5 years ago
• gbosquechacon / statrethink_course_in_pymc3
  Statistical Rethinking course in pymc3
  ☆144Updated 5 years ago