Alternatives and similar repositories for career-code

Users that are interested in career-code are comparing it to the libraries listed below

• gsbDBI / ds-wgan
  Design of Simulations using WGAN
  ☆55Updated 3 years ago
• QuantEcon / book-networks-public
  Companion Site for Economic Networks: Theory and Computation
  ☆121Updated last month
• bernardodionisi / differences
  difference-in-differences in Python
  ☆106Updated last year
• py-econometrics / jaxonometrics
  Econometrics on the GPU (and CPU) via JAX
  ☆17Updated 5 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 …
  ☆17Updated 2 years ago
• nppackages / binsreg
  Partition selection, point estimation, pointwise and uniform inference, and graphical procedures using binscatter methods.
  ☆50Updated 4 months ago
• gzervas / torchblp
  pytorch implementation of BLP'95
  ☆26Updated 6 years ago
• bryangraham / netrics
  A Python 3.7 package for the econometric analysis of networks
  ☆22Updated last year
• shoepaladin / causalinference_crashcourse
  Causal Inference Crash Course for Scientists - contains slides and Jupyter notebooks
  ☆108Updated last week
• vsemenova / orthoml
  Code associated with paper: Orthogonal Machine Learning for Demand Estimation: High-Dimensional Causal Inference in Dynamic Panels, Seme…
  ☆27Updated 2 years ago
• d2cml-ai / mgtecon634_py
  This tutorial will introduce key concepts in machine learning-based causal inference. This tutorial is used by professor Susan Athey in t…
  ☆14Updated 2 years ago
• 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 11 months ago
• mattiasvillani / BayesianLearningBook
  Home for the book-in-progress 'Bayesian Learning'
  ☆28Updated last month
• esantorella / binscatter
  ☆23Updated 2 years ago
• NickCH-K / causaldata
  Packages of Example Data for The Effect
  ☆150Updated last year
• MCFpy / mcf
  Official repository for the mcf package.
  ☆22Updated last week
• OpportunityInsights / Surrogates-Replication-Code
  Code to replicate GAIN application in Athey, Chetty, Imbens and Kang (2019) using simulated employment data
  ☆33Updated 3 years ago
• iamlemec / fastreg
  Fast sparse regressions with advanced formula syntax. OLS, GLM, Poisson, Maxlike, and more. High-dimensional fixed effects.
  ☆67Updated 2 years ago
• tomcaputo / mixtape_learnr
  ☆81Updated 4 years ago
• MasaAsami / pysynthdid
  Synthetic difference in differences for Python
  ☆85Updated last year
• keihirano / modern-sampling
  Course Materials for AEA Short Course on Modern Sampling Methods
  ☆29Updated 3 years ago
• lihualei71 / cfcausalPaper
  Paper Repository
  ☆12Updated 3 years ago
• py-econometrics / duckreg
  Every big regression is a small regression with weights.
  ☆64Updated last month
• CausalAIBook / MetricsMLNotebooks
  Notebooks for Applied Causal Inference Powered by ML and AI
  ☆141Updated 9 months ago
• bsvars / bsvars
  Bayesian Estimation of Structural Vector Autoregressive Models
  ☆58Updated last month
• FMenchetti / CausalArima
  An R package to estimate the effect of interventions on univariate time series using ARIMA models
  ☆25Updated last year
• rdpackages / rdrobust
  Statistical inference and graphical procedures for RD designs using local polynomial and partitioning regression methods.
  ☆88Updated 5 months ago
• grf-labs / policytree
  Policy learning via doubly robust empirical welfare maximization over trees
  ☆86Updated 5 months ago
• MartinSpindler / Machine-Learning-in-Econometrics
  Collection of lecture notes and excercises for a course "Machine Learning in Econometrics"
  ☆28Updated 9 years ago
• sdfordham / pysyncon
  A python module for the synthetic control method
  ☆79Updated 8 months ago