Alternatives and similar repositories for h-shap

Users that are interested in h-shap are comparing it to the libraries listed below

• MLforHealth / ClinicalDG
  An Empirical Framework for Domain Generalization In Clinical Settings
  ☆30Updated 3 years ago
• annahedstroem / MetaQuantus
  MetaQuantus is an XAI performance tool to identify reliable evaluation metrics
  ☆34Updated last year
• dmitrykazhdan / concept-based-xai
  Library implementing state-of-the-art Concept-based and Disentanglement Learning methods for Explainable AI
  ☆54Updated 2 years ago
• ykwon0407 / beta_shapley
  Beta Shapley: a Unified and Noise-reduced Data Valuation Framework for Machine Learning (AISTATS 2022 Oral)
  ☆41Updated 2 years ago
• seedatnabeel / Data-SUITE
  Data-SUITE: Data-centric identification of in-distribution incongruous examples (ICML 2022)
  ☆10Updated 2 years ago
• ykwon0407 / fast_dist_shapley
  Efficient Computation and Analysis of Distributional Shapley Values (AISTATS 2021)
  ☆21Updated last year
• facebookresearch / nbm-spam
  Training and evaluating NBM and SPAM for interpretable machine learning.
  ☆78Updated 2 years ago
• lapalap / B-LRP
  B-LRP is the repository for the paper How Much Can I Trust You? — Quantifying Uncertainties in Explaining Neural Networks
  ☆18Updated 2 years ago
• AIgen / df-posthoc-calibration
  Model-agnostic posthoc calibration without distributional assumptions
  ☆42Updated last year
• aangelopoulos / private_prediction_sets
  Wrap around any model to output differentially private prediction sets with finite sample validity on any dataset.
  ☆17Updated last year
• MLforHealth / CXR_Fairness
  Improving the Fairness of Chest X-ray Classifiers
  ☆14Updated 3 years ago
• amiratag / DistributionalShapley
  Distributional Shapley: A Distributional Framework for Data Valuation
  ☆30Updated last year
• AmrMKayid / nam
  Neural Additive Models (Google Research)
  ☆70Updated 3 years ago
• izmailovpavel / spurious_feature_learning
  ☆45Updated 2 years ago
• MadryLab / modeldiff
  ModelDiff: A Framework for Comparing Learning Algorithms
  ☆56Updated last year
• clementchadebec / pyraug
  Data Augmentation with Variational Autoencoders (TPAMI)
  ☆140Updated 2 years ago
• mlfoundations / tableshift
  A benchmark for distribution shift in tabular data
  ☆52Updated 11 months ago
• dilyabareeva / quanda
  A toolkit for quantitative evaluation of data attribution methods.
  ☆47Updated last month
• aangelopoulos / conformal-risk
  Conformal prediction for controlling monotonic risk functions. Simple accompanying PyTorch code for conformal risk control in computer vi…
  ☆66Updated 2 years ago
• ppope / dimensions
  Code for "The Intrinsic Dimension of Images and Its Impact on Learning" - ICLR 2021 Spotlight https://openreview.net/forum?id=XJk19XzGq2J
  ☆68Updated last year
• layer6ai-labs / TabDPT
  TabDPT: Scaling Tabular Foundation Models
  ☆27Updated last month
• clinicalml / learn-to-defer
  Code for "Consistent Estimators for Learning to Defer to an Expert" (ICML 2020)
  ☆13Updated 2 years ago
• Pacmed / ehr_ood_detection
  Pacmed Labs experiments on uncertainty estimation, focusing on unbalanced tabular data and classification tasks.
  ☆21Updated 4 years ago
• Jonathan-Pearce / calibration-toolbox
  NumPy library for calibration metrics
  ☆73Updated 3 months ago
• jmkuebler / auto-tst
  AutoML Two-Sample Test
  ☆19Updated 2 years ago
• MLforHealth / MIMIC_Generalisation
  Code to study the generalisability of benchmark models on non-stationary EHRs.
  ☆14Updated 5 years ago
• HazyResearch / hidden-stratification
  Combating hidden stratification with GEORGE
  ☆63Updated 4 years ago
• scikit-learn-contrib / scikit-dimension
  A Python package for intrinsic dimension estimation
  ☆89Updated last month
• vanderschaarlab / Interpretability
  Resources for Machine Learning Explainability
  ☆78Updated 9 months ago
• rgklab / detectron
  Official repository for the ICLR 2023 paper "A Learning Based Hypothesis Test for Harmful Covariate Shift"
  ☆12Updated last year