Alternatives and similar repositories for CauTabBench

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

• phlippe / ENCO
  Official repository of the paper "Efficient Neural Causal Discovery without Acyclicity Constraints"
  ☆86Updated last year
• seedatnabeel / TE-CDE
  Continuous-Time Modeling of Counterfactual Outcomes Using Neural Controlled Differential Equations (ICML 2022)
  ☆26Updated 3 years ago
• vios-s / DiffAN
  Diffusion Models for Causal Discovery
  ☆86Updated 2 years ago
• larslorch / avici
  Amortized Inference for Causal Structure Learning, NeurIPS 2022
  ☆68Updated 7 months ago
• facebookresearch / CausalRepID
  Experiments to reproduce results in Interventional Causal Representation Learning.
  ☆26Updated 2 years ago
• psanch21 / causal-flows
  ☆51Updated last year
• patrickrchao / DiffusionBasedCausalModels
  ☆27Updated 5 months ago
• soroushzargar / DAPS
  Implementations of methods proposed in the paper "Conformal Prediction Sets for Graph Neural Networks"
  ☆15Updated 2 years ago
• vislearn / GIN
  Code for the paper "Disentanglement by Nonlinear ICA with General Incompressible-flow Networks (GIN)" (2020)
  ☆33Updated 4 years ago
• ilkhem / iVAE
  VAEs and nonlinear ICA: a unifying framework
  ☆38Updated 5 years ago
• zzzace2000 / nodegam
  Code for "NODE-GAM: Neural Generalized Additive Model for Interpretable Deep Learning"
  ☆46Updated 3 years ago
• ignavierng / golem
  On the Role of Sparsity and DAG Constraints for Learning Linear DAGs
  ☆33Updated 4 years ago
• akekic / causal-component-analysis
  ☆25Updated last year
• ChaejeongLee / CoDi
  Official code for "CoDi: Co-evolving Contrastive Diffusion Models for Mixed-type Tabular Synthesis", ICML 2023
  ☆36Updated last year
• sanatonek / time_series_explainability
  ☆62Updated 4 years ago
• ermongroup / BCD-Nets
  Code for `BCD Nets: Scalable Variational Approaches for Bayesian Causal Discovery`, Neurips 2021
  ☆26Updated 3 years ago
• automl / PFNs
  Our maintained PFN repository. Come here to train SOTA PFNs.
  ☆106Updated 2 weeks ago
• seedatnabeel / SSCP
  SSCP: Improving Adaptive Conformal Prediction Using Self-supervised Learning (AISTATS 2023)
  ☆17Updated 2 years ago
• Rose-STL-Lab / MCD
  Implementation of the ICML 2024 paper "Discovering Mixtures of Structural Causal Models from Time Series Data"
  ☆23Updated 3 months ago
• iancovert / shapley-regression
  For calculating Shapley values via linear regression.
  ☆71Updated 4 years ago
• ilkhem / icebeem
  Code for ICE-BeeM paper - NeurIPS 2020
  ☆87Updated 4 years ago
• pfnet-research / TabCSDI
  A code for the NeurIPS 2022 Table Representation Learning Workshop paper: "Diffusion models for missing value imputation in tabular data"
  ☆54Updated last year
• pamattei / miwae
  Implementation of the MIWAE method for deep generative modelling of incomplete data sets.
  ☆41Updated last year
• siamakz / iVAE
  VAEs and nonlinear ICA: a unifying framework
  ☆48Updated 6 years ago
• tristandeleu / jax-dag-gflownet
  Code for "Bayesian Structure Learning with Generative Flow Networks"
  ☆90Updated 3 years ago
• vanderschaarlab / DECAF
  DECAF: Generating Fair Synthetic Data Using Causally-Aware Generative Networks
  ☆21Updated 3 months ago
• psanch21 / VACA
  ☆23Updated 3 years ago
• trevor-richardson / MCFlow
  Monte Carlo Flow Models for Data Imputation
  ☆19Updated 5 years ago
• lazaratan / dyn-gfn
  DynGFN: Bayesian Dynamic Causal Discovery using Generative Flow Networks
  ☆55Updated 2 weeks ago
• yandex-research / tabred
  (ICLR 2025 Spotlight) TabReD: Analyzing Pitfalls and Filling the Gaps in Tabular Deep Learning Benchmarks
  ☆79Updated 4 months ago