Alternatives and similar repositories for causaltensor

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

• CausalAIBook / MetricsMLNotebooks
  Notebooks for Applied Causal Inference Powered by ML and AI
  ☆137Updated 7 months ago
• deshen24 / syntheticNN
  ☆24Updated 4 years ago
• max-little / GRAPL
  GRAPL: A computational library for nonparametric structural causal modelling, analysis and inference
  ☆83Updated 10 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
• VectorInstitute / Causal_Inference_Laboratory
  ☆22Updated 2 years ago
• gsbDBI / ds-wgan
  Design of Simulations using WGAN
  ☆53Updated 2 years ago
• nlapier2 / PySensemakr
  Python implementation of the original R sensemakr package: https://github.com/carloscinelli/sensemakr
  ☆52Updated 6 months ago
• amazon-science / azcausal
  Causal Inference in Python
  ☆44Updated last month
• zalandoresearch / ACIC23-competition
  Data for and description of the ACIC 2023 data competition
  ☆32Updated 2 years ago
• py-why / pywhy-stats
  Python package for (conditional) independence testing and statistical functions related to causality.
  ☆29Updated last month
• vveitch / causality-tutorials
  Short tutorials on the use of machine learning methods for causal inference
  ☆49Updated 2 years ago
• jaredsmurray / bcf
  Bayesian Causal Forests
  ☆49Updated last year
• gostevehoward / confseq
  Confidence sequences and uniform boundaries
  ☆72Updated last year
• ehkennedy / npcausal
  ☆95Updated last year
• AlaaLab / conformal-metalearners
  [ NeurIPS 2023 ] Official Codebase for "Conformal Meta-learners for Predictive Inference of Individual Treatment Effects"
  ☆45Updated 2 years ago
• vdorie / aciccomp
  Code to run submissions for the Atlantic Causal Inference Competition
  ☆43Updated last year
• ryantibs / conformal
  Tools for conformal inference in regression
  ☆249Updated last year
• jjcherian / conditional-conformal
  A package for conformal prediction with conditional guarantees.
  ☆67Updated last month
• 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
• francescomontagna / causally
  Code for the causal benchmark library
  ☆12Updated 8 months ago
• CausalInference / pygformula
  The pygformula implements the parametric g-formula in Python. The parametric g-formula (Robins, 1986) uses longitudinal data with time-va…
  ☆30Updated last month
• bernardodionisi / differences
  difference-in-differences in Python
  ☆105Updated last year
• MCFpy / mcf
  Official repository for the mcf package.
  ☆22Updated last month
• RickardKarl / causal-falsify
  causal-falsify: A Python library with algorithms for falsifying unconfoundedness assumption in a composite dataset from multiple sources.
  ☆35Updated 2 months ago
• shoepaladin / causalinference_crashcourse
  Causal Inference Crash Course for Scientists - contains slides and Jupyter notebooks
  ☆107Updated 2 months ago
• calebleedy / ISU-Causal
  Repository for the ISU Causal Inference Working Group
  ☆12Updated last year
• christinaheinze / causality-course-ethz
  Code used in the causality course (401-4632-15) at ETH Zurich.
  ☆23Updated 6 years ago
• dobriban / Topics-In-Modern-Statistical-Learning
  Materials for STAT 991: Topics In Modern Statistical Learning (UPenn, 2022 Spring) - uncertainty quantification, conformal prediction, ca…
  ☆176Updated last year
• blei-lab / deconfounder_public
  ☆22Updated 2 years ago
• freshtaste / CausalModel
  CausalModel implements widely used casual inference methods as well as an interference based method proposed by our paper.
  ☆16Updated last year