Alternatives and similar repositories for BivariateShapley

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

• jsyoon0823 / VIME
  Codebase for VIME: Extending the Success of Self- and Semi-supervised Learning to Tabular Domain - NeurIPS 2020
  ☆148Updated 4 years ago
• vanderschaarlab / hyperimpute
  A framework for prototyping and benchmarking imputation methods
  ☆188Updated 2 years ago
• lemeln / nam
  Neural Additive Models (Google Research)
  ☆28Updated last year
• ignavierng / golem
  On the Role of Sparsity and DAG Constraints for Learning Linear DAGs
  ☆33Updated 4 years ago
• kurowasan / GraN-DAG
  ☆93Updated 2 years ago
• chl8856 / SEFS
  Codebase for SEFS: Self-Supervision Enhanced Feature Selection with Correlated Gates
  ☆23Updated last year
• AstraZeneca / SubTab
  The official implementation of the paper, "SubTab: Subsetting Features of Tabular Data for Self-Supervised Representation Learning"
  ☆145Updated 3 years ago
• andreimargeloiu / WPFS
  Weight Predictor Networks with Sparse Feature Selection for Small Size Tabular Biomedical Data. Published at AAAI 2023
  ☆17Updated 2 years ago
• haeggee / bacadi
  BaCaDI: Bayesian Causal Discovery with Unknown Interventions
  ☆12Updated 2 years ago
• wwweiwei / awesome-self-supervised-learning-for-tabular-data
  A collection of research materials on SSL for non-sequential tabular data (SSL4NSTD)
  ☆194Updated 5 months ago
• AI4LIFE-GROUP / OpenXAI
  OpenXAI : Towards a Transparent Evaluation of Model Explanations
  ☆247Updated 11 months ago
• ioanabica / Counterfactual-Recurrent-Network
  Code for ICLR 2020 paper: "Estimating counterfactual treatment outcomes over time through adversarially balanced representations" by I. B…
  ☆59Updated 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
• vanderschaarlab / mlforhealthlabpub
  Machine Learning and Artificial Intelligence for Medicine.
  ☆451Updated 2 years ago
• probabilistic-learning / HI-VAE
  ☆91Updated 2 years ago
• loeweX / AmortizedCausalDiscovery
  Code for the paper: Amortized Causal Discovery: Learning to Infer Causal Graphs from Time-Series Data
  ☆216Updated 3 years ago
• iancovert / sage
  For calculating global feature importance using Shapley values.
  ☆272Updated last week
• microsoft / Project-BayesDAG
  ☆12Updated last year
• slachapelle / dcdi
  Repository for "Differentiable Causal Discovery from Interventional Data"
  ☆76Updated 3 years ago
• amber0309 / HSIC
  Python code of Hilbert-Schmidt Independence Criterion
  ☆87Updated 3 years ago
• WilliamCCHuang / GraphLIME
  This is a Pytorch implementation of GraphLIME
  ☆92Updated 3 years ago
• gemoran / sparse-vae-code
  ☆32Updated 2 years ago
• dylan-slack / Modeling-Uncertainty-Local-Explainability
  Local explanations with uncertainty 💐!
  ☆40Updated last year
• OpenXAIProject / GNNExplainer-Tutorial
  ☆53Updated 4 years ago
• clabrugere / pytorch-scarf
  Implementation of SCARF: Self-Supervised Contrastive Learning using Random Feature Corruption in Pytorch, a model learning a representati…
  ☆77Updated last year
• suinleelab / path_explain
  A repository for explaining feature attributions and feature interactions in deep neural networks.
  ☆187Updated 3 years ago
• fishmoon1234 / DAG-GNN
  ☆312Updated 3 years ago
• zzzace2000 / nodegam
  Code for "NODE-GAM: Neural Generalized Additive Model for Interpretable Deep Learning"
  ☆47Updated 2 years ago
• mims-harvard / GraphXAI
  GraphXAI: Resource to support the development and evaluation of GNN explainers
  ☆192Updated last year
• uhlerlab / causaldag
  Python package for the creation, manipulation, and learning of Causal DAGs
  ☆152Updated 2 years ago