Alternatives and similar repositories for cs182sp21.github.io

Users that are interested in cs182sp21.github.io are comparing it to the libraries listed below

• matteocourthoud / Blog-Posts
  Code and notebooks for my Medium blog posts
  ☆131Updated last year
• apoorvalal / ding_causalInference_python
  python implementation of Peng Ding's "First Course in Causal Inference"
  ☆180Updated last year
• causal-machine-learning / kdd2021-tutorial
  EconML/CausalML KDD 2021 Tutorial
  ☆167Updated 2 years ago
• bradyneal / causal-book-code
  ☆81Updated 5 years ago
• hammadshaikhha / Causal-Inference-Mastery
  Notes and simulations on graduate level causal inference in statistics with applications to social sciences.
  ☆23Updated 6 years ago
• mmarouen / The-Elements-Of-Statistical-Learning
  This repository contains R code for exercices and plots in the famous book.
  ☆46Updated 2 years ago
• AM207 / 2018fall
  ☆38Updated 4 years ago
• ChadFulton / fulton_statsmodels_2017
  State Space Estimation of Time Series Models in Python: Statsmodels
  ☆44Updated 9 years ago
• Ci2Lab / Applied_Causal_Inference_Course
  This course is an overview of applied causal inference.
  ☆56Updated 8 months ago
• xuanyin / causal-mediation-analysis-for-ab-tests
  The Identification and Estimation of Direct and Indirect Effects in A/B Tests through Causal Mediation Analysis
  ☆24Updated 3 years ago
• FJRubio67 / StatisticalInference
  Lecture Notes on Statistical Inference
  ☆77Updated last year
• mattiasvillani / BayesLearnCourse
  Bayesian Learning course at Stockholm University
  ☆157Updated last month
• soerenkuenzel / causalToolbox
  ☆44Updated 4 years ago
• robjhyndman / fpp3_slides
  Slides to accompany Forecasting: Principles and Practice, 3rd edition
  ☆79Updated last year
• TianyiPeng / causaltensor
  A python package for causal inference in panels
  ☆13Updated 2 months ago
• shoepaladin / causalinference_crashcourse
  Causal Inference Crash Course for Scientists - contains slides and Jupyter notebooks
  ☆115Updated last month
• eleanormurray / causalinferencebook_stata
  Stata code for part 2 of the book Causal Inference, by Miguel Hernán and James Robins
  ☆18Updated last year
• cliburn / sta-663-2021
  Computational Statistics and Statistical Computing
  ☆37Updated 4 years ago
• alanjeffares / elements-of-statistical-learning
  Documenting my progress as I work through The Elements of Statistical Learning book by T. Hastie, R. Tibshirani, and J. Friedman
  ☆62Updated 5 years ago
• lihualei71 / cfcausalPaper
  Paper Repository
  ☆12Updated 3 years ago
• sdfordham / pysyncon
  A python module for the synthetic control method
  ☆80Updated last month
• kquist / DoubleML-Python
  ☆12Updated 6 years 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
• 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
• grf-labs / policytree
  Policy learning via doubly robust empirical welfare maximization over trees
  ☆86Updated 6 months ago
• MasaAsami / pysynthdid
  Synthetic difference in differences for Python
  ☆87Updated last year
• christinaheinze / causality-course-ethz
  Code used in the causality course (401-4632-15) at ETH Zurich.
  ☆23Updated 6 years ago
• dkgaraujo / gingado
  A machine learning library for economics and finance
  ☆10Updated last year
• EddieYang211 / ebal-py
  Python implementation of Entropy Balancing for binary and continuous treatment
  ☆21Updated last month
• MisraLab / cml.github.io
  ☆31Updated 2 years ago