Alternatives and similar repositories for causaltensor

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

• deshen24 / syntheticNN
  ☆24Updated 3 years ago
• zalandoresearch / ACIC23-competition
  Data for and description of the ACIC 2023 data competition
  ☆32Updated last year
• anishazaveri / austen_plots
  Demo data and code for "Sense and Sensitivity Analysis: Simple Post-Hoc Analysis of Bias Due to Unobserved Confounding".
  ☆26Updated 3 years ago
• nlapier2 / PySensemakr
  Python implementation of the original R sensemakr package: https://github.com/carloscinelli/sensemakr
  ☆52Updated 2 weeks ago
• stablemarkets / intro_bayesian_causal
  Repository for Introduction to Bayesian Estimation of Causal Effects
  ☆62Updated 4 years ago
• ehkennedy / npcausal
  ☆95Updated last year
• AlaaLab / conformal-metalearners
  [ NeurIPS 2023 ] Official Codebase for "Conformal Meta-learners for Predictive Inference of Individual Treatment Effects"
  ☆44Updated last year
• 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
• lihualei71 / cfcausal
  R package cfcausal
  ☆27Updated 2 years ago
• calebleedy / ISU-Causal
  Repository for the ISU Causal Inference Working Group
  ☆12Updated last year
• CausalInference / pygformula
  The pygformula implements the parametric g-formula in Python. The parametric g-formula (Robins, 1986) uses longitudinal data with time-va…
  ☆29Updated 2 months ago
• gsbDBI / ds-wgan
  Design of Simulations using WGAN
  ☆50Updated 2 years ago
• jaredsmurray / bcf
  Bayesian Causal Forests
  ☆45Updated last year
• 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 …
  ☆16Updated 2 years ago
• alexluedtke12 / pydimple
  ☆19Updated 11 months ago
• ArthurSpirling / BeingAGradStudent
  Comments on the Nature of Being a Graduate Student
  ☆41Updated 2 years ago
• annennenne / causalDisco
  Tools for causal discovery in R
  ☆19Updated 3 months ago
• socket778 / XBCF
  R and python implementations of Accelerated Bayesian Causal Forest.
  ☆25Updated 11 months ago
• vsemenova / orthoml
  Code associated with paper: Orthogonal Machine Learning for Demand Estimation: High-Dimensional Causal Inference in Dynamic Panels, Seme…
  ☆25Updated 2 years ago
• lihualei71 / cfcausalPaper
  Paper Repository
  ☆11Updated 2 years ago
• pzivich / Delicatessen
  Delicatessen: the Python one-stop sandwich (variance) shop 🥪
  ☆27Updated last week
• stanford-msande228 / winter23
  ☆22Updated last year
• mattiasvillani / AdvBayesLearnCourse
  Course material for the PhD course in Advanced Bayesian Learning
  ☆60Updated 3 months ago
• soerenkuenzel / causalToolbox
  ☆42Updated 4 years ago
• FJRubio67 / StatisticalInference
  Lecture Notes on Statistical Inference
  ☆76Updated 7 months ago
• StochasticTree / stochtree
  Stochastic tree ensembles (BART / XBART) for supervised learning and causal inference
  ☆43Updated this week
• kwuthrich / Replication_DCP
  ☆9Updated 3 years ago
• victor5as / RieszLearning
  Replication files for Chernozhukov, Newey, Quintas-Martínez and Syrgkanis (2021) "RieszNet and ForestRiesz: Automatic Debiased Machine Le…
  ☆14Updated 2 years ago
• CausalAIBook / MetricsMLNotebooks
  Notebooks for Applied Causal Inference Powered by ML and AI
  ☆118Updated 2 months ago
• almost-matching-exactly / DAME-FLAME-Python-Package
  A Python Package providing two algorithms, DAME and FLAME, for fast and interpretable treatment-control matches of categorical data
  ☆57Updated last year