Alternatives and similar repositories for oce-dataset

Users that are interested in oce-dataset are comparing it to the libraries listed below

• matheusfacure / exploratory-notebooks
  Unstructured Code with interesting analysis
  ☆37Updated 7 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
  ☆23Updated 2 years ago
• shoepaladin / causalinference_crashcourse
  Causal Inference Crash Course for Scientists - contains slides and Jupyter notebooks
  ☆95Updated last month
• lorentzenchr / responsible_ml_material
  Material for the lecture Responsible ML
  ☆22Updated 4 months ago
• nlapier2 / PySensemakr
  Python implementation of the original R sensemakr package: https://github.com/carloscinelli/sensemakr
  ☆52Updated 2 weeks ago
• NickCH-K / causaldata
  Packages of Example Data for The Effect
  ☆139Updated 6 months ago
• zalandoresearch / ACIC23-competition
  Data for and description of the ACIC 2023 data competition
  ☆32Updated last year
• MasaAsami / pysynthdid
  Synthetic difference in differences for Python
  ☆80Updated last year
• vsemenova / orthoml
  Code associated with paper: Orthogonal Machine Learning for Demand Estimation: High-Dimensional Causal Inference in Dynamic Panels, Seme…
  ☆25Updated 2 years ago
• NickCH-K / CausalitySlides
  Slides for the Seattle University Causal Inference Class
  ☆135Updated 4 years ago
• leopoldavezac / BayesianMMM
  (ml) - python implementation of bayesian media mix modelling with shape and carryover effect
  ☆58Updated 3 years ago
• bernardodionisi / differences
  difference-in-differences in Python
  ☆100Updated last year
• keihirano / modern-sampling
  Course Materials for AEA Short Course on Modern Sampling Methods
  ☆29Updated 3 years ago
• FlorianWilhelm / bhm-at-scale
  🪜 Bayesian Hierarchical Models at Scale
  ☆52Updated 3 years ago
• larsroemheld / causalinf_ex_elasticity
  A full example for causal inference on real-world retail data, for elasticity estimation
  ☆50Updated 3 years ago
• bachmannpatrick / CLVTools
  R-Package for estimating CLV
  ☆57Updated last month
• 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…
  ☆12Updated last year
• grf-labs / policytree
  Policy learning via doubly robust empirical welfare maximization over trees
  ☆81Updated 11 months ago
• hmelberg / causal
  notebooks on methods for causal inference
  ☆34Updated 10 months ago
• FMenchetti / CausalArima
  An R package to estimate the effect of interventions on univariate time series using ARIMA models
  ☆20Updated last year
• areding / 6420-pymc
  Porting an OpenBUGS/MATLAB-based Bayesian statistics course to Python/PyMC.
  ☆29Updated last month
• DoubleML / doubleml-docs
  Documentation and User Guide for DoubleML - Double Machine Learning in Python & R
  ☆21Updated last week
• tomcaputo / mixtape_learnr
  ☆80Updated 4 years ago
• ewharton / ab-testing-resources
  ☆81Updated last year
• cliburn / sta-663-2021
  Computational Statistics and Statistical Computing
  ☆37Updated 4 years ago
• juanitorduz / website_projects
  Repository containing the code of the projects presented in my personal website.
  ☆42Updated this week
• microsoft / SparseSC
  Fit Sparse Synthetic Control Models in Python
  ☆82Updated last year
• NickCH-K / causalbook
  Replication code and downloadable example data sets for The Effect
  ☆197Updated 2 weeks ago
• bambinos / educational-resources
  Educational resources
  ☆104Updated 3 years ago
• mikenguyen13 / data_analysis
  Streamline a data analysis process
  ☆73Updated last week