Alternatives and similar repositories for looper

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

• AlxndrMlk / causality
  Notes, exercises and other materials related to causal inference, causal discovery and causal ML.
  ☆158Updated last month
• py-why / causaltune
  AutoML for causal inference.
  ☆233Updated 11 months ago
• max-little / GRAPL
  GRAPL: A computational library for nonparametric structural causal modelling, analysis and inference
  ☆83Updated 11 months ago
• BiomedSciAI / causallib
  A Python package for modular causal inference analysis and model evaluations
  ☆799Updated 8 months ago
• ijmbarr / causalgraphicalmodels
  Causal Graphical Models in Python
  ☆250Updated 2 years ago
• ostojanovic / causalML
  ☆33Updated last year
• ip200 / venn-abers
  Python implementation of binary and multi-class Venn-ABERS calibration
  ☆191Updated 2 months ago
• DoubleML / doubleml-for-py
  DoubleML - Double Machine Learning in Python
  ☆681Updated last week
• pymc-labs / CausalPy
  A Python package for causal inference in quasi-experimental settings
  ☆1,077Updated this week
• JakeColtman / bartpy
  Bayesian Additive Regression Trees For Python
  ☆230Updated last year
• microsoft / project-azua
  Data Efficient Decision Making
  ☆249Updated 3 years ago
• py-why / dodiscover
  [Experimental] Global causal discovery algorithms
  ☆110Updated last week
• nlapier2 / PySensemakr
  Python implementation of the original R sensemakr package: https://github.com/carloscinelli/sensemakr
  ☆54Updated 6 months ago
• altdeep / causalAI
  The open source repository for the Causal Modeling in Machine Learning Workshop at Altdeep.ai @ www.altdeep.ai/courses/causalAI
  ☆786Updated 2 weeks ago
• pymc-devs / pymc-bart
  ☆132Updated this week
• 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
• pymc-devs / pymc-examples
  Examples of PyMC models, including a library of Jupyter notebooks.
  ☆357Updated this week
• henrikbostrom / crepes
  Python package for conformal prediction
  ☆548Updated 2 months ago
• erdogant / bnlearn
  Python package for Causal Discovery by learning the graphical structure of Bayesian networks. Structure Learning, Parameter Learning, Inf…
  ☆578Updated last week
• PacktPublishing / Practical-Guide-to-Applied-Conformal-Prediction
  Practical Guide to Applied Conformal Prediction, published by Packt
  ☆193Updated last month
• zillow / quantile-forest
  Quantile Regression Forests compatible with scikit-learn.
  ☆250Updated 2 weeks ago
• sktime / skpro
  A unified framework for tabular probabilistic regression, time-to-event prediction, and probability distributions in python
  ☆291Updated this week
• ksachdeva / rethinking-tensorflow-probability
  Statistical Rethinking (2nd Ed) with Tensorflow Probability
  ☆273Updated 3 years ago
• inovex / justcause
  💊 Comparing causality methods in a fair and just way.
  ☆141Updated 5 years ago
• MBrouns / timeseers
  Time should be taken seer-iously
  ☆319Updated 2 years ago
• joneswack / conformal-predictions-from-scratch
  Various Conformal Prediction methods implemented from scratch in pure NumPy for an educational purpose.
  ☆226Updated last year
• chritoth / active-bayesian-causal-inference
  Active Bayesian Causal Inference (Neurips'22)
  ☆59Updated last year
• DataForScience / Causality
  ☆470Updated last year
• shoepaladin / causalinference_crashcourse
  Causal Inference Crash Course for Scientists - contains slides and Jupyter notebooks
  ☆108Updated 2 weeks ago
• ericmjl / causality
  In which I play with the ideas surrounding causality
  ☆54Updated 3 years ago