Alternatives and similar repositories for code_pitfalls_iml

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

• bdwilliamson / vimpy
  Perform inference on algorithm-agnostic variable importance in Python
  ☆20Updated 3 years ago
• wilsonjr / ClusterShapley
  Explaining dimensionality results using SHAP values
  ☆54Updated 4 months ago
• dbenielli / scikit-multimodallearn
  This Python package implements algorithms for multiviews (multimodals) learning
  ☆14Updated 7 months ago
• sfme / RVAE_MixedTypes
  Repository for code release of paper "Robust Variational Autoencoders for Outlier Detection and Repair of Mixed-Type Data" (AISTATS 2020)
  ☆50Updated 5 years ago
• a-lucic / focus
  ☆16Updated 3 years ago
• Raschka-research-group / corn-ordinal-neuralnet
  Code and experiments for "Deep Neural Networks for Rank Consistent Ordinal Regression based on Conditional Probabilities"
  ☆25Updated 2 years ago
• mlhcmit / recitations
  Here we will post recitation materials.
  ☆9Updated 5 years ago
• AmrMKayid / nam
  Neural Additive Models (Google Research)
  ☆70Updated 3 years ago
• Pacmed / ehr_ood_detection
  Pacmed Labs experiments on uncertainty estimation, focusing on unbalanced tabular data and classification tasks.
  ☆21Updated 3 years ago
• DasLab / KaggleOpenVaccine
  ☆55Updated 8 months ago
• yaronshap / GloballyConsistentRules
  Implementation of algorithms from the paper "Globally-Consistent Rule-Based Summary-Explanations for Machine Learning Models: Application…
  ☆25Updated 2 years ago
• ralphhaygood / sklearn-gbmi
  scikit-learn gradient-boosting-model interactions
  ☆25Updated 2 years ago
• ModelOriented / pyCeterisParibus
  Python library for Ceteris Paribus Plots (What-if plots)
  ☆24Updated 4 years ago
• sciai-lab / cl-tsne-umap
  ☆33Updated last week
• dandls / moc
  Multi-Objective Counterfactuals
  ☆41Updated 2 years ago
• stephenbates19 / nestedcv
  Nested cross-validation for accurate confidence intervals for prediction error.
  ☆41Updated 2 years ago
• SelfExplainML / GamiNet
  GAMI-Net: Generalized Additive Models with Structured Interactions
  ☆31Updated 3 years ago
• eamid / examples
  A comparison of the dimensionality reduction results using t-SNE, UMAP, PCA, and TriMap
  ☆29Updated 3 years ago
• yannadani / cbed
  Official implementation of the paper "Interventions, Where and How? Experimental Design for Causal Models at Scale", NeurIPS 2022.
  ☆20Updated 2 years ago
• nickfrosst / neural_additive_models
  stand alone Neural Additive Models, forked from google-reasearch for easy import to colab
  ☆28Updated 4 years ago
• robertness / causalvae
  ☆18Updated 5 years ago
• GillesVandewiele / covid19-mrna-degradation-prediction
  Fourth place solution to the "OpenVaccine: COVID-19 mRNA Vaccine Degradation Prediction" organized by Stanford University and Kaggle
  ☆20Updated 4 years ago
• iancovert / removal-explanations
  A lightweight implementation of removal-based explanations for ML models.
  ☆59Updated 3 years ago
• rpatrik96 / nl-causal-representations
  This is the code for the paper Jacobian-based Causal Discovery with Nonlinear ICA, demonstrating how identifiable representations (partic…
  ☆18Updated 8 months ago
• tfmortie / uaml
  Uncertainty-aware classification.
  ☆16Updated 2 years ago
• sscardapane / hydra-tutorial
  Companion code for a tutorial on using Hydra.
  ☆29Updated 3 years ago
• capitalone / global-attribution-mapping
  GAM (Global Attribution Mapping) explains the landscape of neural network predictions across subpopulations
  ☆33Updated 3 weeks ago
• adalmia96 / umap-mnn
  ☆23Updated 3 years ago
• interpretml / TalkToEBM
  A Natural Language Interface to Explainable Boosting Machines
  ☆66Updated 10 months ago
• anndvision / quince
  Code for Quantifying Ignorance in Individual-Level Causal-Effect Estimates under Hidden Confounding
  ☆22Updated 2 years ago