Alternatives and similar repositories for CFA

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

• rmartigas / causal-inference-invasive-ventilation-MIMIC-IV
  Code used for the paper
  ☆10Updated last year
• divyat09 / cate-estimator-selection
  Code accompanying the paper "Empirical analysis of model selection for heterogeneous causal effect estimation"
  ☆13Updated 5 months ago
• Jarvis-BITS / midodrine-mimic-iv
  Descriptive & prescriptive analysis of the effects of Vasoconstrictive medication via MIMIC's database using Targeted Maximum Likelihood …
  ☆9Updated 2 years ago
• 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 8 months ago
• chunlinli / defuse
  Nonlinear Causal Discovery with Confounders
  ☆19Updated 2 years ago
• calebleedy / ISU-Causal
  Repository for the ISU Causal Inference Working Group
  ☆12Updated last year
• kalinlau / awesome-causal-learning
  Causality with machine learning, topic including causal represenation learning, causal reinforcement learning
  ☆11Updated 4 years ago
• paidamoyo / counterfactual_survival_analysis
  ACM CHIL 2021: "Enabling Counterfactual Survival Analysis with Balanced Representations"
  ☆12Updated 4 years ago
• soda-inria / caussim
  Simulations for predictive model selection in causal inference
  ☆13Updated 6 months ago
• vveitch / causality-tutorials
  Short tutorials on the use of machine learning methods for causal inference
  ☆48Updated 2 years ago
• CausalAIBook / MetricsMLNotebooks
  Notebooks for Applied Causal Inference Powered by ML and AI
  ☆127Updated 3 months ago
• ainaimi / mlci_shortcourse
  ☆13Updated last year
• csquires / 6.S091-causality
  ☆187Updated 2 years ago
• KColangelo / Double-ML-Continuous-Treatment
  Code for Colangelo and Lee (2025)
  ☆14Updated 5 months ago
• Nic5472K / ScientificData2021_HealthGym
  ☆22Updated 2 years ago
• CausalDisco / CausalDisco
  CausalDisco contains baseline algorithms and analytics tools for Causal Discovery. The package can be installed by running `pip install C…
  ☆15Updated last year
• caus-am / jci
  Code for the paper "Joint Causal Inference from Multiple Contexts" (JMLR 2020)
  ☆16Updated 5 years ago
• CoCaLa / causality-tutorial-exercises
  ☆48Updated last year
• kevinsbello / dagma
  A Python 3 package for learning Bayesian Networks (DAGs) from data. Official implementation of the paper "DAGMA: Learning DAGs via M-matr…
  ☆120Updated last year
• francescomontagna / causally
  Code for the causal benchmark library
  ☆12Updated 4 months ago
• acmi-lab / local-causal-discovery
  Code for the paper "Local Causal Discovery for Estimating Causal Effects".
  ☆10Updated last year
• VectorInstitute / Causal_Inference_Laboratory
  ☆22Updated last year
• reylined / TransformerJM
  ☆11Updated 3 years ago
• Jeanselme / DynamicDeepHit
  Dynamic Deep Hit - Pytorch implementation
  ☆27Updated last month
• CausalDisco / gadjid
  Adjustment Identification Distance: A gadjid for Causal Structure Learning
  ☆10Updated 5 months ago
• ruoqi-liu / T4
  Code for paper "Estimating Trustworthy Treatment Effects for Antibiotic Stewardship in Sepsis"
  ☆17Updated 2 years ago
• vdorie / npci
  Non-parametrics for Causal Inference
  ☆48Updated 3 years ago
• bradyneal / realcause
  Realistic benchmark for different causal inference methods. The realism comes from fitting generative models to data with an assumed caus…
  ☆77Updated 4 years ago
• AliciaCurth / CATENets
  Sklearn-style implementations of Neural Network-based Conditional Average Treatment Effect (CATE) Estimators.
  ☆142Updated last year
• som-shahlab / survlearners
  Metalearners for Survival Data
  ☆14Updated last year