Alternatives and similar repositories for AdversarialGMM:

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

• rrtucci / JudeasRx
  python app for doing personalized causal medicine using the methods invented by Judea Pearl et al.
  ☆25Updated 2 years ago
• rbas2015 / CausalFX
  CausalFX R Package
  ☆13Updated 9 years ago
• OATML / ucate
  Uncertainty in Conditional Average Treatment Effect Estimation
  ☆30Updated 4 years ago
• zalandoresearch / ACIC23-competition
  Data for and description of the ACIC 2023 data competition
  ☆32Updated last year
• mlpapers / missing-data
  Awesome papers on Missing Data
  ☆13Updated 4 years ago
• evdoxiataka / ipme
  An interactive visualization tool that transforms probabilistic programming models into an "Interactive Probabilistic Models Explorer".
  ☆24Updated 9 months ago
• LeihuaYe / Causal-Inference-Using-Quasi-Experimental-Methods
  Causal Inference Using Quasi-Experimental Methods
  ☆20Updated 4 years ago
• mlr-org / mcboost
  Multi-Calibration & Multi-Accuracy Boosting for R
  ☆32Updated 6 months 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 9 months ago
• PySloth / pysloth
  A Python Package for Probabilistic Prediction
  ☆22Updated 3 years ago
• jeffalstott / pystan_time_series
  Basic time series modeling with Stan and Pystan
  ☆33Updated 7 years ago
• nanavatirutu / CausalBandits
  Project on Causal Machine learning CS 7290
  ☆16Updated 5 years ago
• lihualei71 / cfcausal
  R package cfcausal
  ☆27Updated 2 years ago
• CamDavidsonPilon / PyDataNY_2019_tutorial
  Repo for PyData 2019 Tutorial - New Trends in Estimation and Inference
  ☆25Updated 5 years ago
• pyro-ppl / sandbox
  Pyro models and misc examples.
  ☆19Updated 3 years ago
• tlverse / tmle3shift
  🎯 Targeted Learning of the Causal Effects of Stochastic Interventions
  ☆17Updated 6 months ago
• tlverse / tmle3mopttx
  🎯 💯 Targeted Learning and Variable Importance for the Causal Effect of an Optimal Individualized Treatment Intervention
  ☆12Updated 2 years ago
• probml / bandits
  Bayesian Bandits
  ☆67Updated last year
• 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
• discdiver / causal-inference-python-packages
  List of python packages for causal inference
  ☆17Updated 3 years ago
• jaredsmurray / bcf
  Bayesian Causal Forests
  ☆42Updated 10 months ago
• kwuthrich / Replication_DCP
  ☆8Updated 3 years ago
• yaronshap / GloballyConsistentRules
  Implementation of algorithms from the paper "Globally-Consistent Rule-Based Summary-Explanations for Machine Learning Models: Application…
  ☆24Updated 2 years ago
• yuachen / CausalDA
  Code to reproduce the numerical experiments in the paper Domain adaptation under structural causal models by Yuansi Chen and Peter Bühlma…
  ☆18Updated 3 years ago
• FlorianWilhelm / bhm-at-scale
  🪜 Bayesian Hierarchical Models at Scale
  ☆52Updated 3 years ago
• tensorchiefs / dl_course_2020
  The 2020 Version of the Deep Learning Course
  ☆8Updated 4 years ago
• stablemarkets / intro_bayesian_causal
  Repository for Introduction to Bayesian Estimation of Causal Effects
  ☆59Updated 4 years ago
• assuncaolfi / savvi
  A package for Safe Anytime Valid Inference
  ☆26Updated 4 months ago
• CamDavidsonPilon / lifelike
  WIP predicted survival functions
  ☆37Updated 5 years ago
• OATML / causal-bald
  ☆17Updated last year