Alternatives and similar repositories for socialchoice:

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

• math-econ-code / mec_optim
  math+econ+code masterclass on optimization in economics: optimal transport, demand models, matching models
  ☆35Updated last year
• christinaheinze / causality-course-ethz
  Code used in the causality course (401-4632-15) at ETH Zurich.
  ☆21Updated 5 years ago
• mattiasvillani / AdvBayesLearnCourse
  Course material for the PhD course in Advanced Bayesian Learning
  ☆59Updated 3 months ago
• anishazaveri / austen_plots
  Demo data and code for "Sense and Sensitivity Analysis: Simple Post-Hoc Analysis of Bias Due to Unobserved Confounding".
  ☆27Updated 3 years ago
• swager / balanceHD
  Approximately balanced estimation of average treatment effects in high dimensions.
  ☆34Updated 3 years ago
• vsemenova / orthoml
  Code associated with paper: Orthogonal Machine Learning for Demand Estimation: High-Dimensional Causal Inference in Dynamic Panels, Seme…
  ☆24Updated last year
• swager / optrdd
  Optimized regression discontinuity designs
  ☆29Updated 2 years ago
• hammadshaikhha / Causal-Inference-Mastery
  Notes and simulations on graduate level causal inference in statistics with applications to social sciences.
  ☆23Updated 5 years ago
• gjoncas / Computational-Economics
  Algorithmic game theory, recursive macroeconomics, machine learning for econometrics
  ☆47Updated 6 years ago
• math-econ-code / mec_optim_2021-01
  ‘math+econ+code’ lectures on optimal transport and economic applications, January 2021
  ☆13Updated 3 years ago
• math-econ-code / mec_equil
  'math+econ+code' masterclass on equilibrium transport and matching models in economics
  ☆34Updated last year
• annennenne / causalDisco
  Tools for causal discovery in R
  ☆18Updated this week
• syrgkanislab / orthogonal_regularized_estimation
  Code associated with paper: Plug-in Regularized Estimation of High-Dimensional Parameters in Nonlinear Semiparametric Models, Chernozhuk…
  ☆15Updated 4 years ago
• setzler / JuliaEconomics
  Tutorial Scripts for JuliaEconomics.com
  ☆63Updated 8 years ago
• udellgroup / orie7191
  Materials for ORIE 7191: Topics in Optimization for Machine Learning
  ☆43Updated 5 years ago
• ghosthamlet / ananke
  Ananke named for the Greek primordial goddess of necessity and causality, is a python package for causal inference using the language o…
  ☆13Updated 4 years ago
• zalandoresearch / ACIC23-competition
  Data for and description of the ACIC 2023 data competition
  ☆32Updated last year
• pierrejacob / unbiasedmcmc
  Unbiased Markov chain Monte Carlo with couplings
  ☆29Updated 2 years ago
• rrtucci / JudeasRx
  python app for doing personalized causal medicine using the methods invented by Judea Pearl et al.
  ☆24Updated 2 years ago
• jcperdomo / performative-prediction
  ☆29Updated 3 years ago
• vsemenova / econ241C
  Machine Learning for Economics
  ☆19Updated last year
• gsbDBI / ds-wgan
  Design of Simulations using WGAN
  ☆49Updated 2 years ago
• jaredsmurray / bcf
  Bayesian Causal Forests
  ☆41Updated 9 months ago
• grf-labs / policytree
  Policy learning via doubly robust empirical welfare maximization over trees
  ☆78Updated 8 months ago
• gzervas / torchblp
  pytorch implementation of BLP'95
  ☆26Updated 5 years ago
• xiyanghu / OSDT
  Optimal Sparse Decision Trees
  ☆102Updated last year
• stablemarkets / intro_bayesian_causal
  Repository for Introduction to Bayesian Estimation of Causal Effects
  ☆59Updated 4 years ago
• Socrats / EGTTools
  Toolbox for Evolutionary Game Theory.
  ☆87Updated 2 weeks ago
• pedemonte96 / causaleffect
  Python package to compute conditional and non-conditional causal effects.
  ☆35Updated 2 years ago
• jayrobwilliams / Job-Market
  Academic job market template
  ☆29Updated 5 years ago