Alternatives and similar repositories for torch-choice

Users that are interested in torch-choice are comparing it to the libraries listed below

• sdfordham / pysyncon
  A python module for the synthetic control method
  ☆72Updated 4 months ago
• rdpackages / rdrobust
  Statistical inference and graphical procedures for RD designs using local polynomial and partitioning regression methods.
  ☆86Updated last month
• MasaAsami / pysynthdid
  Synthetic difference in differences for Python
  ☆84Updated last year
• bernardodionisi / differences
  difference-in-differences in Python
  ☆104Updated last year
• py-econometrics / pyfixest
  Fast High-Dimensional Fixed Effects Regression in Python following fixest-syntax
  ☆255Updated this week
• mwelz / GenericML
  R implementation of Generic Machine Learning Inference (Chernozhukov, Demirer, Duflo and Fernández-Val, 2020).
  ☆70Updated 7 months ago
• d2cml-ai / csdid
  CSDID
  ☆33Updated last month
• iamlemec / fastreg
  Fast sparse regressions with advanced formula syntax. OLS, GLM, Poisson, Maxlike, and more. High-dimensional fixed effects.
  ☆63Updated 2 years ago
• kwuthrich / scinference
  Inference for synthetic controls
  ☆39Updated 4 years ago
• susanathey / MCPanel
  Matrix Completion Methods for Causal Panel Data Models
  ☆102Updated 4 years ago
• MCKnaus / causalML-teaching
  This repository consolidates my teaching material for "Causal Machine Learning".
  ☆257Updated 10 months ago
• MartinSpindler / hdm
  ☆18Updated last year
• QuantLet / Meta_learner-for-Causal-ML
  This repository provides R-code for the estimation of the conditional average treatment effect (CATE) using machine learning (ML) methods…
  ☆35Updated 7 months ago
• bcallaway11 / contdid
  Difference-in-Differences with a Continuous Treatment
  ☆32Updated 2 months ago
• nlapier2 / PySensemakr
  Python implementation of the original R sensemakr package: https://github.com/carloscinelli/sensemakr
  ☆52Updated 3 months ago
• MCFpy / mcf
  Official repository for the mcf package.
  ☆21Updated this week
• tomcaputo / mixtape_learnr
  ☆81Updated 4 years ago
• pedrohcgs / DRDID
  Doubly Robust Difference-in-Differences Estimators
  ☆93Updated 2 months ago
• py-econometrics / duckreg
  Every big regression is a small regression with weights.
  ☆59Updated this week
• alvarogutyerrez / TheDiscreteChoiceDataBank
  Collection of publicly available Discrete Choice Datasets
  ☆53Updated 3 years ago
• xuyiqing / fect
  fixed effect counterfactual estimators
  ☆75Updated this week
• stanford-msande228 / winter23
  ☆22Updated last year
• NickCH-K / CausalitySlides
  Slides for the Seattle University Causal Inference Class
  ☆141Updated 4 years ago
• ebenmichael / augsynth
  Augmented Synthetic Control Method
  ☆158Updated 6 months ago
• CausalAIBook / MetricsMLNotebooks
  Notebooks for Applied Causal Inference Powered by ML and AI
  ☆129Updated 5 months ago
• nppackages / binsreg
  Partition selection, point estimation, pointwise and uniform inference, and graphical procedures using binscatter methods.
  ☆47Updated last week
• grf-labs / policytree
  Policy learning via doubly robust empirical welfare maximization over trees
  ☆83Updated last month
• NickCH-K / causaldata
  Packages of Example Data for The Effect
  ☆142Updated 9 months ago
• bsvars / bsvars
  Bayesian Estimation of Structural Vector Autoregressive Models
  ☆54Updated 2 weeks ago
• rgiordan / zaminfluence
  Tools in R for computing and using Z-estimator approximate influence functions.
  ☆99Updated 11 months ago