garydoranjr / rdc

Related projects ⓘ

Alternatives and complementary repositories for rdc

• ericstrobl / RCIT
  The Randomized Conditional Independence Test (RCIT) and the Randomized conditional Correlation Test (RCoT)
  ☆24Updated 5 years ago
• talwagner / efficient_kde
  Efficient LSH-based kernel density estimation
  ☆28Updated 5 years ago
• 12wang3 / mllp
  The code of AAAI 2020 paper "Transparent Classification with Multilayer Logical Perceptrons and Random Binarization".
  ☆22Updated 8 months ago
• Biwei-Huang / Generalized-Score-Functions-for-Causal-Discovery
  A generalized score-based method for Causal Discovery
  ☆15Updated 4 years ago
• keiichishima / pcalg
  CPDAG Estimation using PC-Algorithm
  ☆94Updated 2 years ago
• tiskw / random-fourier-features
  Implementation of random Fourier features for kernel method, like support vector machine and Gaussian process model
  ☆98Updated 2 weeks ago
• talwagner / fair_clustering
  ☆19Updated 5 years ago
• juangamella / icp
  Python implementation of the Invariant Causal Prediction (ICP) algorithm, from the 2015 paper "Causal inference using invariant predictio…
  ☆19Updated 8 months ago
• amber0309 / ANM-MM
  Python code for NeurIPS 2018 paper "Causal Inference and Mechanism Clustering of A Mixture of Additive Noise Models"
  ☆22Updated 5 years ago
• wgao9 / mixed_KSG
  ☆38Updated 6 years ago
• fengliu90 / DK-for-TST
  This is the source code for Learning Deep Kernels for Non-Parametric Two-Sample Tests (ICML2020).
  ☆46Updated 3 years ago
• mtsang / neural-interaction-detection
  Detecting Statistical Interactions from Neural Network Weights
  ☆47Updated 4 years ago
• diviyank / SAM
  Code for the Structural Agnostic Model (https://arxiv.org/abs/1803.04929)
  ☆53Updated 3 years ago
• mensxmachina / CausalExplorer_1.5
  a Matlab library of computational causal discovery and variable selection algorithms
  ☆18Updated 4 years ago
• oxcsml / kerpy
  python code for kernel methods
  ☆36Updated 5 years ago
• matthklein / fair_k_center_clustering
  Code for our paper "Fair k-Center Clustering for Data Summarization"
  ☆11Updated 5 years ago
• rajatsen91 / CCIT
  Classifier Conditional Independence Test: A CI test that uses a binary classifier (XGBoost) for CI testing
  ☆45Updated last year
• zalanborsos / coresets
  Coresets
  ☆37Updated 2 years ago
• kuiy / CausalFS
  An open-source package of causal feature selection and causal (Bayesian network) structure learning (C/C++ version)
  ☆58Updated 3 years ago
• jmikko / fair_ERM
  Fair Empirical Risk Minimization (FERM)
  ☆37Updated 4 years ago
• BorgwardtLab / WTK
  A Wasserstein Subsequence Kernel for Time Series.
  ☆21Updated 4 months ago
• harris-chris / joint-shapley-values
  Source code for the Joint Shapley values: a measure of joint feature importance
  ☆13Updated 3 years ago
• gnobitab / CertifiedMonotonicNetwork
  ☆25Updated last year
• zzzace2000 / GAMs
  Multiple Generalized Additive Models implemented in Python (EBM, XGB, Spline, FLAM). Code for our KDD 2021 paper "How Interpretable and T…
  ☆12Updated 3 years ago
• slachapelle / dcdi
  Repository for "Differentiable Causal Discovery from Interventional Data"
  ☆72Updated 2 years ago
• namkoong-lab / robustopt
  ☆42Updated 6 years ago
• amber0309 / HSIC
  Python code of Hilbert-Schmidt Independence Criterion
  ☆80Updated 2 years ago
• wt-hu / pyCausalFS
  pyCausalFS：A Python Library of Causality-based Feature Selection for Causal Structure Learning and Classification
  ☆65Updated 3 years ago
• wittawatj / fsic-test
  ICML 2017. Kernel-based adaptive linear-time independence test.
  ☆15Updated 2 years ago
• pmorenoz / HierCPD
  Hierarchical Change-Point Detection
  ☆13Updated 6 years ago