Alternatives and similar repositories for y0:

Users that are interested in y0 are comparing it to the libraries listed below

• max-little / GRAPL
  GRAPL: A computational library for nonparametric structural causal modelling, analysis and inference
  ☆81Updated 4 months ago
• MLResearchAtOSRAM / cause2e
  The cause2e package provides tools for performing an end-to-end causal analysis of your data. Developed by Daniel Grünbaum (@dg46).
  ☆58Updated 2 years ago
• almost-matching-exactly / DAME-FLAME-Python-Package
  A Python Package providing two algorithms, DAME and FLAME, for fast and interpretable treatment-control matches of categorical data
  ☆56Updated 10 months ago
• anishazaveri / austen_plots
  Demo data and code for "Sense and Sensitivity Analysis: Simple Post-Hoc Analysis of Bias Due to Unobserved Confounding".
  ☆26Updated 3 years ago
• py-why / pywhy-stats
  Python package for (conditional) independence testing and statistical functions related to causality.
  ☆28Updated 3 months ago
• rrtucci / JudeasRx
  python app for doing personalized causal medicine using the methods invented by Judea Pearl et al.
  ☆25Updated 2 years ago
• bradyneal / realcause
  Realistic benchmark for different causal inference methods. The realism comes from fitting generative models to data with an assumed caus…
  ☆74Updated 4 years ago
• pedemonte96 / causaleffect
  Python package to compute conditional and non-conditional causal effects.
  ☆35Updated 2 years ago
• discdiver / causal-inference-python-packages
  List of python packages for causal inference
  ☆17Updated 3 years ago
• ustunb / actionable-recourse
  python tools to check recourse in linear classification
  ☆76Updated 4 years ago
• nlapier2 / PySensemakr
  Python implementation of the original R sensemakr package: https://github.com/carloscinelli/sensemakr
  ☆51Updated 4 months ago
• ehkennedy / npcausal
  ☆94Updated last year
• pyro-ppl / brmp
  Bayesian Regression Models in Pyro
  ☆71Updated 9 months ago
• bd2kccd / causal-cmd
  ☆17Updated last month
• py-why / pywhy-graphs
  [Experimental] Causal graphs that are networkx-compliant for the py-why ecosystem.
  ☆55Updated this week
• uhlerlab / causaldag
  Python package for the creation, manipulation, and learning of Causal DAGs
  ☆152Updated 2 years ago
• py-why / dodiscover
  [Experimental] Global causal discovery algorithms
  ☆99Updated last month
• ijmbarr / causalgraphicalmodels
  Causal Graphical Models in Python
  ☆246Updated 2 years ago
• boschresearch / causalAssembly
  ☆28Updated 11 months ago
• ijmbarr / notes-on-causal-inference
  Some notes on Causal Inference, with examples in python
  ☆154Updated 5 years ago
• probml / bandits
  Bayesian Bandits
  ☆68Updated last year
• chritoth / active-bayesian-causal-inference
  Active Bayesian Causal Inference (Neurips'22)
  ☆54Updated 8 months ago
• epidemics / COVIDNPIs
  Data and code for COVID-19 NPI effectiveness estimation.
  ☆30Updated 4 years ago
• bambinos / educational-resources
  Educational resources
  ☆105Updated 3 years ago
• charmlab / recourse
  Code to reproduce our paper on probabilistic algorithmic recourse: https://arxiv.org/abs/2006.06831
  ☆36Updated 2 years ago
• yaglm / yaglm
  A python package for penalized generalized linear models that supports fitting and model selection for structured, adaptive and non-conve…
  ☆56Updated 2 years ago
• pzivich / Delicatessen
  Delicatessen: the Python one-stop sandwich (variance) shop 🥪
  ☆27Updated this week
• bradyneal / causal-inference-books
  Flowchart to help choose which causal inference book to read. See https://bradyneal.github.io/which-causal-inference-book for more info s…
  ☆58Updated 5 years ago
• amazon-science / azcausal
  Causal Inference in Python
  ☆42Updated 3 months ago
• janovergoor / choose2grow
  Research code for "Choosing to grow a graph" project. Contains code for network generation and model estimation.
  ☆26Updated 4 years ago