Alternatives and similar repositories for mcf

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

• bernardodionisi / differences
  difference-in-differences in Python
  ☆107Updated 2 years ago
• MasaAsami / pysynthdid
  Synthetic difference in differences for Python
  ☆87Updated last year
• shoepaladin / causalinference_crashcourse
  Causal Inference Crash Course for Scientists - contains slides and Jupyter notebooks
  ☆111Updated 2 weeks ago
• nlapier2 / PySensemakr
  Python implementation of the original R sensemakr package: https://github.com/carloscinelli/sensemakr
  ☆56Updated 8 months ago
• DoubleML / doubleml-docs
  Documentation and User Guide for DoubleML - Double Machine Learning in Python & R
  ☆26Updated last week
• d2cml-ai / csdid
  CSDID
  ☆39Updated this week
• py-econometrics / pyfixest
  Fast High-Dimensional Fixed Effects Regression in Python following fixest-syntax
  ☆285Updated this week
• CausalAIBook / MetricsMLNotebooks
  Notebooks for Applied Causal Inference Powered by ML and AI
  ☆143Updated 9 months ago
• MCKnaus / causalML-teaching
  This repository consolidates my teaching material for "Causal Machine Learning".
  ☆260Updated 2 months ago
• vsemenova / orthoml
  Code associated with paper: Orthogonal Machine Learning for Demand Estimation: High-Dimensional Causal Inference in Dynamic Panels, Seme…
  ☆27Updated 2 years ago
• Mixtape-Sessions / Machine-Learning
  Machine Learning and Causal Inference taught by Brigham Frandsen
  ☆220Updated 3 months ago
• NickCH-K / causaldata
  Packages of Example Data for The Effect
  ☆152Updated last year
• victor5as / RieszLearning
  Replication files for Chernozhukov, Newey, Quintas-Martínez and Syrgkanis (2021) "RieszNet and ForestRiesz: Automatic Debiased Machine Le…
  ☆13Updated 3 years ago
• gsbDBI / ds-wgan
  Design of Simulations using WGAN
  ☆56Updated 3 years ago
• grf-labs / policytree
  Policy learning via doubly robust empirical welfare maximization over trees
  ☆86Updated 5 months ago
• rdpackages / rdrobust
  Statistical inference and graphical procedures for RD designs using local polynomial and partitioning regression methods.
  ☆88Updated 5 months ago
• demirermert / MLInference
  ☆100Updated 5 years ago
• mwelz / GenericML
  R implementation of Generic Machine Learning Inference (Chernozhukov, Demirer, Duflo and Fernández-Val, 2020).
  ☆76Updated last month
• MCKnaus / causalDML
  Implementation of Double Machine Learning
  ☆36Updated this week
• OscarEngelbrektson / SyntheticControlMethods
  A Python package for causal inference using Synthetic Controls
  ☆192Updated last year
• iamlemec / fastreg
  Fast sparse regressions with advanced formula syntax. OLS, GLM, Poisson, Maxlike, and more. High-dimensional fixed effects.
  ☆67Updated 2 years ago
• NickCH-K / CausalitySlides
  Slides for the Seattle University Causal Inference Class
  ☆146Updated 4 years ago
• jaredsmurray / bcf
  Bayesian Causal Forests
  ☆52Updated last year
• susanathey / MCPanel
  Matrix Completion Methods for Causal Panel Data Models
  ☆103Updated 4 years ago
• tomcaputo / mixtape_learnr
  ☆81Updated 4 years ago
• ehkennedy / npcausal
  ☆96Updated 2 years ago
• nppackages / scpi
  Prediction and inference procedures for synthetic control methods with multiple treated units and staggered adoption.
  ☆38Updated 6 months ago
• nppackages / binsreg
  Partition selection, point estimation, pointwise and uniform inference, and graphical procedures using binscatter methods.
  ☆50Updated 4 months ago
• pedrohcgs / DRDID
  Doubly Robust Difference-in-Differences Estimators
  ☆94Updated last month
• py-econometrics / duckreg
  Every big regression is a small regression with weights.
  ☆65Updated last month