Alternatives and similar repositories for adversarial_gmm:

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

• lnsongxf / Applied_Computational_Economics_and_Finance
  ECON457 2018 Applied Computational Economics and Finance
  ☆26Updated 7 years ago
• fw307 / high_dimensional_regression_comparison
  Empirical comparison of penalized linear regression in high-dimensional settings
  ☆12Updated 4 years ago
• nickpoison / Stochastic-Volatility-Models
  R Code to accompany "A Note on Efficient Fitting of Stochastic Volatility Models"
  ☆13Updated 2 years ago
• compops / gpo-smc-abc
  Bayesian optimisation for fast approximate inference in state-space models with intractable likelihoods
  ☆12Updated 7 years ago
• gsbDBI / ds-wgan
  Design of Simulations using WGAN
  ☆48Updated 2 years ago
• alfredgalichon / VQR
  Code for Vector Quantile Regression (Carlier, Chernozhukov, Galichon, Annals of Statistics, 2016)
  ☆16Updated 3 years ago
• nealbob / econlearn
  A machine learning toolkit for economists
  ☆18Updated 9 years ago
• microsoft / AdversarialGMM
  Minimax Estimation of Conditional Moment Models
  ☆29Updated last year
• econ-ark / DemARK
  Demonstrations of how to use material in the Econ-ARK
  ☆33Updated 2 months ago
• vsemenova / econ241C
  Machine Learning for Economics
  ☆18Updated last year
• XueningZhu / NAR_old
  The code for network autoregression model (NAR)
  ☆9Updated 8 years ago
• ChicagoBoothML / ML2016
  BUS 41204: Machine Learning -- Winter 2016
  ☆11Updated 7 years ago
• J-Kahn / PyELike
  Generalized empirical likelihood and generalized method of moments estimators for Python
  ☆11Updated 6 years ago
• LeopoldoCatania / GAS
  GAS models
  ☆34Updated 3 years ago
• khakieconomics / StanEcon
  Discussion for Stan for economists
  ☆10Updated 8 years ago
• lihualei71 / cfcausal
  R package cfcausal
  ☆27Updated 2 years ago
• bank-of-england / Shapley_regressions
  Statistical inference on machine learning or general non-parametric models
  ☆44Updated 8 months ago
• Bo-Ning / Bayesian-multivariate-time-series-causal-inference
  R code for ''Bayesian method for causal inference in spatially-correlated multivariate time series''
  ☆45Updated 4 years ago
• NumEconCopenhagen / lectures-2019
  Slides and code used in the lectures
  ☆13Updated 5 years ago
• anorring / Bayesian-times-series-methods
  Barcelona GSE Macroeconometrics Summer School 2018 courses
  ☆13Updated 6 years ago
• mpiktas / midasr-user-guide
  ☆10Updated 9 years ago
• jonathantelliott / electricity-investment
  code to replicate "Investment, Emissions, and Reliability in Electricity Markets," by Jonathan Elliott
  ☆9Updated 11 months ago
• tlverse / tmle3mopttx
  🎯 💯 Targeted Learning and Variable Importance for the Causal Effect of an Optimal Individualized Treatment Intervention
  ☆12Updated 2 years ago
• eleanormurray / causalinferencebook_stata
  Stata code for part 2 of the book Causal Inference, by Miguel Hernán and James Robins
  ☆17Updated 4 months ago
• IshmaelBelghazi / ThreePass
  Three Pass Regression Filter for R
  ☆15Updated 9 years ago
• DanielhCarranza / causai
  Causai is a Python package for Causality in Machine Learning. We provide state-of-the-art causal algorithms and ML into decision-making s…
  ☆12Updated 4 years ago
• ssdavenport / microsynth
  Synthetic controls for micro-level data
  ☆16Updated last year
• SimonOuellette35 / PyData-talk---Intro-to-PyMC3
  Companion code for my PyData talk: "Introduction to Probabilistic Programming with PyMC3"
  ☆13Updated 5 years ago
• yukai-yang / PSTR
  an R package for testing, estimating and evaluating the Panel Smooth Transition Regression (PSTR) model.
  ☆17Updated last year