Alternatives and similar repositories for causaltensor

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

• nlapier2 / PySensemakr
  Python implementation of the original R sensemakr package: https://github.com/carloscinelli/sensemakr
  ☆51Updated 2 months ago
• CausalAIBook / MetricsMLNotebooks
  Notebooks for Applied Causal Inference Powered by ML and AI
  ☆128Updated 4 months ago
• 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
• vveitch / causality-tutorials
  Short tutorials on the use of machine learning methods for causal inference
  ☆48Updated 2 years ago
• deshen24 / syntheticNN
  ☆24Updated 3 years ago
• max-little / GRAPL
  GRAPL: A computational library for nonparametric structural causal modelling, analysis and inference
  ☆81Updated 6 months ago
• zalandoresearch / ACIC23-competition
  Data for and description of the ACIC 2023 data competition
  ☆32Updated 2 years ago
• gsbDBI / ds-wgan
  Design of Simulations using WGAN
  ☆51Updated 2 years ago
• AlaaLab / conformal-metalearners
  [ NeurIPS 2023 ] Official Codebase for "Conformal Meta-learners for Predictive Inference of Individual Treatment Effects"
  ☆44Updated last year
• christinaheinze / causality-course-ethz
  Code used in the causality course (401-4632-15) at ETH Zurich.
  ☆22Updated 6 years ago
• bernardodionisi / differences
  difference-in-differences in Python
  ☆102Updated last year
• blei-lab / deconfounder_public
  ☆21Updated 2 years ago
• calebleedy / ISU-Causal
  Repository for the ISU Causal Inference Working Group
  ☆12Updated last year
• VectorInstitute / Causal_Inference_Laboratory
  ☆22Updated last year
• kochbj / Deep-Learning-for-Causal-Inference
  Extensive tutorials for learning how to build deep learning models for causal inference (HTE) using selection on observables in Tensorflo…
  ☆330Updated 9 months ago
• ehkennedy / npcausal
  ☆95Updated last year
• dobriban / Topics-In-Modern-Statistical-Learning
  Materials for STAT 991: Topics In Modern Statistical Learning (UPenn, 2022 Spring) - uncertainty quantification, conformal prediction, ca…
  ☆173Updated last year
• ryantibs / conformal
  Tools for conformal inference in regression
  ☆246Updated 10 months ago
• csquires / 6.S091-causality
  ☆187Updated 2 years 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 …
  ☆16Updated 2 years ago
• Chrisejorge / Causal-Inference
  Materials Collection for Causal Inference
  ☆47Updated 2 years ago
• AlxndrMlk / causality
  Notes, exercises and other materials related to causal inference, causal discovery and causal ML.
  ☆140Updated 11 months ago
• jjcherian / conditional-conformal
  A package for conformal prediction with conditional guarantees.
  ☆61Updated 4 months ago
• amazon-science / azcausal
  Causal Inference in Python
  ☆44Updated 6 months ago
• jaredsmurray / bcf
  Bayesian Causal Forests
  ☆48Updated last year
• ArthurSpirling / BeingAGradStudent
  Comments on the Nature of Being a Graduate Student
  ☆43Updated 2 years ago
• mattiasvillani / AdvBayesLearnCourse
  Course material for the PhD course in Advanced Bayesian Learning
  ☆59Updated 4 months ago
• soda-inria / caussim
  Simulations for predictive model selection in causal inference
  ☆13Updated 6 months ago
• apoorvalal / ding_causalInference_python
  python implementation of Peng Ding's "First Course in Causal Inference"
  ☆168Updated last year
• vdorie / npci
  Non-parametrics for Causal Inference
  ☆48Updated 3 years ago