Alternatives and similar repositories for Efficient_sharp_policy_learning

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

• bernardodionisi / differences
  difference-in-differences in Python
  ☆100Updated last year
• nlapier2 / PySensemakr
  Python implementation of the original R sensemakr package: https://github.com/carloscinelli/sensemakr
  ☆51Updated last month
• AlxndrMlk / causality
  Notes, exercises and other materials related to causal inference, causal discovery and causal ML.
  ☆140Updated 10 months ago
• CausalAIBook / MetricsMLNotebooks
  Notebooks for Applied Causal Inference Powered by ML and AI
  ☆122Updated 3 months ago
• ostojanovic / causalML
  ☆33Updated 9 months ago
• AlaaLab / conformal-metalearners
  [ NeurIPS 2023 ] Official Codebase for "Conformal Meta-learners for Predictive Inference of Individual Treatment Effects"
  ☆44Updated last year
• shoepaladin / causalinference_crashcourse
  Causal Inference Crash Course for Scientists - contains slides and Jupyter notebooks
  ☆99Updated 2 months ago
• py-econometrics / pyfixest
  Fast High-Dimensional Fixed Effects Regression in Python following fixest-syntax
  ☆236Updated last week
• d2cml-ai / csdid
  CSDID
  ☆30Updated this week
• max-little / GRAPL
  GRAPL: A computational library for nonparametric structural causal modelling, analysis and inference
  ☆81Updated 6 months ago
• sdfordham / pysyncon
  A python module for the synthetic control method
  ☆68Updated 2 months ago
• py-why / dodiscover
  [Experimental] Global causal discovery algorithms
  ☆103Updated this week
• StochasticTree / stochtree
  Stochastic tree ensembles (BART / XBART) for supervised learning and causal inference
  ☆46Updated this week
• jgreathouse9 / mlsynth
  This is the repository for the Python library mlsynth
  ☆30Updated 2 weeks ago
• DoubleML / doubleml-docs
  Documentation and User Guide for DoubleML - Double Machine Learning in Python & R
  ☆21Updated this week
• msuzen / looper
  A resource list for causality in statistics, data science and physics
  ☆264Updated 2 weeks ago
• MasaAsami / pysynthdid
  Synthetic difference in differences for Python
  ☆80Updated last year
• stanford-msande228 / winter23
  ☆22Updated last year
• vveitch / causality-tutorials
  Short tutorials on the use of machine learning methods for causal inference
  ☆48Updated 2 years ago
• MCFpy / mcf
  Official repository for the mcf package.
  ☆20Updated this week
• d2cml-ai / CausalAI-Course
  Lectures and Tutorials for the Causal AI course
  ☆41Updated 6 months ago
• victor5as / RieszLearning
  Replication files for Chernozhukov, Newey, Quintas-Martínez and Syrgkanis (2021) "RieszNet and ForestRiesz: Automatic Debiased Machine Le…
  ☆14Updated 3 years ago
• NickCH-K / causaldata
  Packages of Example Data for The Effect
  ☆140Updated 7 months ago
• alexanderquispe / 14.38_Causal_ML
  JupyterNotebook for the MIT course
  ☆16Updated last month
• py-why / pywhyllm
  Experimental library integrating LLM capabilities to support causal analyses
  ☆213Updated 2 weeks ago
• Mixtape-Sessions / Machine-Learning
  Machine Learning and Causal Inference taught by Brigham Frandsen
  ☆207Updated 6 months ago
• d2cml-ai / 14.388_py
  This material has been created based on the tutorials of the course 14.388 Inference on Causal and Structural Parameters Using ML and AI …
  ☆16Updated 2 years ago
• vangoffrier / UnConfounding
  A toolbox for simulating and estimating long-term causal effects in the presence of unobserved confounding.
  ☆11Updated 2 years ago
• MCKnaus / causalML-teaching
  This repository consolidates my teaching material for "Causal Machine Learning".
  ☆253Updated 7 months ago
• OliverHennhoefer / unquad
  Conformal Anomaly Detection
  ☆48Updated last week