Alternatives and similar repositories for causal-features

Users that are interested in causal-features are comparing it to the libraries listed below

• 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
• csquires / causal-rep-learning-reading-group
  ☆22Updated last year
• seedatnabeel / TE-CDE
  Continuous-Time Modeling of Counterfactual Outcomes Using Neural Controlled Differential Equations (ICML 2022)
  ☆27Updated 3 years ago
• ioanabica / Counterfactual-Recurrent-Network
  Code for ICLR 2020 paper: "Estimating counterfactual treatment outcomes over time through adversarially balanced representations" by I. B…
  ☆61Updated last year
• phlippe / ENCO
  Official repository of the paper "Efficient Neural Causal Discovery without Acyclicity Constraints"
  ☆86Updated last year
• ignavierng / golem
  On the Role of Sparsity and DAG Constraints for Learning Linear DAGs
  ☆33Updated 4 years ago
• slachapelle / dcdi
  Repository for "Differentiable Causal Discovery from Interventional Data"
  ☆76Updated 3 years ago
• larslorch / avici
  Amortized Inference for Causal Structure Learning, NeurIPS 2022
  ☆68Updated 7 months ago
• debmandal / causality-fairness
  References for Papers at the Intersection of Causality and Fairness
  ☆18Updated 6 years ago
• sjblim / rmsn_nips_2018
  ☆40Updated 6 years ago
• mingzhang-yin / CoCo
  An optimization-based algorithm to accurately estimate the causal effects and robustly predict under distribution shifts. It leverages th…
  ☆14Updated last year
• rflperry / sparse_shift
  ☆11Updated 2 years ago
• yixinwang / representation-causal-public
  ☆44Updated 3 years ago
• charmlab / recourse
  Code to reproduce our paper on probabilistic algorithmic recourse: https://arxiv.org/abs/2006.06831
  ☆36Updated 2 years ago
• felixleopoldo / benchpress
  Scalable open-source software to run, develop, and benchmark causal discovery algorithms
  ☆72Updated last week
• vdorie / npci
  Non-parametrics for Causal Inference
  ☆49Updated 3 years ago
• caus-am / jci
  Code for the paper "Joint Causal Inference from Multiple Contexts" (JMLR 2020)
  ☆16Updated 5 years ago
• paulrolland1307 / SCORE
  Code used in the paper "Score matching enables causal discovery of nonlinear additive noise models", Rolland et al., ICML 2022
  ☆20Updated last week
• vanderschaarlab / MIRACLE
  ☆28Updated last year
• CausalAILab / NCMCounterfactuals
  ☆13Updated 2 years ago
• IBM-HRL-MLHLS / IBM-Causal-Inference-Benchmarking-Framework
  Data derived from the Linked Births and Deaths Data (LBIDD); simulated pairs of treatment assignment and outcomes; scoring code
  ☆84Updated 7 years ago
• ioanabica / Time-Series-Deconfounder
  Code for ICML 2020 paper: "Time Series Deconfounder: Estimating Treatment Effects over Time in the Presence of Hidden Confounders" by I. …
  ☆52Updated 4 years ago
• larslorch / stadion
  Causal Modeling with Stationary Diffusions, AISTATS 2024
  ☆19Updated 6 months ago
• boschresearch / causalAssembly
  ☆30Updated last month
• rpatrik96 / nl-causal-representations
  This is the code for the paper Jacobian-based Causal Discovery with Nonlinear ICA, demonstrating how identifiable representations (partic…
  ☆18Updated last year
• acmi-lab / local-causal-discovery
  Code for the paper "Local Causal Discovery for Estimating Causal Effects".
  ☆10Updated last year
• caus-am / dom_adapt
  Code for the NIPS 2018 paper "Domain Adaptation by Using Causal Inference to Predict Invariant Conditional Distributions"
  ☆18Updated 4 years ago
• ElementAI / causal_discovery_toolbox
  Package for causal inference in graphs and in the pairwise settings. Tools for graph structure recovery and dependencies are included.
  ☆31Updated 5 years ago
• WeijiaZhang24 / TEDVAE
  Code for TEDVAE, a VAE-based treatment effect estimation algorithm.
  ☆25Updated 2 years ago
• ZhaozhiQIAN / Single-Cause-Perturbation-NeurIPS-2021
  Code for Estimating Multi-cause Treatment Effects via Single-cause Perturbation (NeurIPS 2021)
  ☆13Updated 3 years ago