Alternatives and similar repositories for HSIC:

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

• ilkhem / icebeem
  Code for ICE-BeeM paper - NeurIPS 2020
  ☆86Updated 3 years ago
• siamakz / iVAE
  VAEs and nonlinear ICA: a unifying framework
  ☆46Updated 5 years ago
• ignavierng / golem
  On the Role of Sparsity and DAG Constraints for Learning Linear DAGs
  ☆33Updated 3 years ago
• kurowasan / GraN-DAG
  ☆92Updated last year
• ElementAI / causal_discovery_toolbox
  Package for causal inference in graphs and in the pairwise settings. Tools for graph structure recovery and dependencies are included.
  ☆30Updated 5 years ago
• ilkhem / iVAE
  VAEs and nonlinear ICA: a unifying framework
  ☆33Updated 4 years ago
• BorisMuzellec / MissingDataOT
  A Pytorch implementation of missing data imputation using optimal transport.
  ☆96Updated 3 years ago
• piomonti / carefl
  Code for "Causal autoregressive flows" - AISTATS, 2021
  ☆44Updated 3 years ago
• diviyank / SAM
  Code for the Structural Agnostic Model (https://arxiv.org/abs/1803.04929)
  ☆52Updated 4 years ago
• sudiptodip15 / CCMI
  Classifier based mutual information, conditional mutual information estimation; conditional independence testing
  ☆34Updated 5 years ago
• slachapelle / dcdi
  Repository for "Differentiable Causal Discovery from Interventional Data"
  ☆72Updated 3 years ago
• wt-hu / pyCausalFS
  pyCausalFS：A Python Library of Causality-based Feature Selection for Causal Structure Learning and Classification
  ☆67Updated 4 years ago
• oxcsml / kerpy
  python code for kernel methods
  ☆38Updated 6 years ago
• Biwei-Huang / Causal-Discovery-from-Nonstationary-Heterogeneous-Data
  Causal Discovery from Nonstationary/Heterogeneous Data.
  ☆52Updated 4 years ago
• dylan-slack / Modeling-Uncertainty-Local-Explainability
  Local explanations with uncertainty 💐!
  ☆39Updated last year
• akekic / causal-component-analysis
  ☆22Updated last year
• jmoss20 / notears
  Implementation of "DAGs with NO TEARS: Smooth Optimization for Structure Learning", by Zheng et al. (2018)
  ☆49Updated 5 years ago
• rajatsen91 / CCIT
  Classifier Conditional Independence Test: A CI test that uses a binary classifier (XGBoost) for CI testing
  ☆46Updated last year
• xwshen51 / DEAR
  Disentangled gEnerative cAusal Representation (DEAR)
  ☆58Updated 2 years ago
• vislearn / GIN
  Code for the paper "Disentanglement by Nonlinear ICA with General Incompressible-flow Networks (GIN)" (2020)
  ☆32Updated 3 years ago
• riken-aip / pyHSICLasso
  Versatile Nonlinear Feature Selection Algorithm for High-dimensional Data
  ☆179Updated 3 years ago
• wittawatj / fsic-test
  ICML 2017. Kernel-based adaptive linear-time independence test.
  ☆16Updated 2 years ago
• loeweX / AmortizedCausalDiscovery
  Code for the paper: Amortized Causal Discovery: Learning to Infer Causal Graphs from Time-Series Data
  ☆206Updated 2 years ago
• tvayer / SGW
  Code for Sliced Gromov-Wasserstein
  ☆66Updated 5 years ago
• omesner / knncmi
  This python code estimates conditional mutual information (CMI) and mutual information (MI) for discrete and/or continuous variables usin…
  ☆35Updated 3 years ago
• AMLab-Amsterdam / DIVA
  Implementation of 'DIVA: Domain Invariant Variational Autoencoders'
  ☆100Updated 5 years ago
• juangamella / icp
  Python implementation of the Invariant Causal Prediction (ICP) algorithm, from the 2015 paper "Causal inference using invariant predictio…
  ☆20Updated last year
• GoudetOlivier / CGNN
  Replication code for the article "Learning Functional Causal Models with Generative Neural Networks"
  ☆99Updated 5 years ago
• zzzace2000 / nodegam
  Code for "NODE-GAM: Neural Generalized Additive Model for Interpretable Deep Learning"
  ☆43Updated 2 years ago
• probabilistic-learning / HI-VAE
  ☆90Updated last year