Projects in Awesome Lists tagged with interpretable-machine-learning
A curated list of projects in awesome lists tagged with interpretable-machine-learning .
https://github.com/interpretml/interpret
Fit interpretable models. Explain blackbox machine learning.
ai artificial-intelligence bias blackbox differential-privacy explainability explainable-ai explainable-ml gradient-boosting iml interpretability interpretable-ai interpretable-machine-learning interpretable-ml interpretml machine-learning scikit-learn transparency xai
Last synced: 06 Feb 2026
https://github.com/interpretml/dice
Generate Diverse Counterfactual Explanations for any machine learning model.
counterfactual-explanations deep-learning explainable-ai explainable-ml interpretable-machine-learning machine-learning xai
Last synced: 13 May 2025
https://modeloriented.github.io/DALEX/
moDel Agnostic Language for Exploration and eXplanation
black-box dalex data-science explainable-ai explainable-artificial-intelligence explainable-ml explanations explanatory-model-analysis fairness iml interpretability interpretable-machine-learning machine-learning model-visualization predictive-modeling responsible-ai responsible-ml xai
Last synced: 10 Jul 2025
https://github.com/modeloriented/dalex
moDel Agnostic Language for Exploration and eXplanation
black-box dalex data-science explainable-ai explainable-artificial-intelligence explainable-ml explanations explanatory-model-analysis fairness iml interpretability interpretable-machine-learning machine-learning model-visualization predictive-modeling responsible-ai responsible-ml xai
Last synced: 14 May 2025
https://github.com/ModelOriented/DALEX
moDel Agnostic Language for Exploration and eXplanation
black-box dalex data-science explainable-ai explainable-artificial-intelligence explainable-ml explanations explanatory-model-analysis fairness iml interpretability interpretable-machine-learning machine-learning model-visualization predictive-modeling responsible-ai responsible-ml xai
Last synced: 14 Mar 2025
https://github.com/interpretml/DiCE
Generate Diverse Counterfactual Explanations for any machine learning model.
counterfactual-explanations deep-learning explainable-ai explainable-ml interpretable-machine-learning machine-learning xai
Last synced: 25 Mar 2025
https://github.com/SelfExplainML/PiML-Toolbox
PiML (Python Interpretable Machine Learning) toolbox for model development & diagnostics
interpretable-machine-learning low-code ml-workflow model-diagnostics
Last synced: 04 Apr 2025
https://github.com/salesforce/OmniXAI
OmniXAI: A Library for eXplainable AI
explainable-ai explainable-ml explanation interpretable-machine-learning machine-learning
Last synced: 28 Apr 2025
https://github.com/salesforce/omnixai
OmniXAI: A Library for eXplainable AI
explainable-ai explainable-ml explanation interpretable-machine-learning machine-learning
Last synced: 15 May 2025
https://github.com/dswah/pyGAM
[HELP REQUESTED] Generalized Additive Models in Python
data-science gams interpretable-machine-learning machine-learning python scientific-computing
Last synced: 27 Mar 2025
https://github.com/pbiecek/xai_resources
Interesting resources related to XAI (Explainable Artificial Intelligence)
interpretability interpretable-machine-learning xai
Last synced: 13 Apr 2025
https://github.com/jphall663/interpretable_machine_learning_with_python
Examples of techniques for training interpretable ML models, explaining ML models, and debugging ML models for accuracy, discrimination, and security.
accountability data-mining data-science decision-tree fairness fatml gradient-boosting-machine h2o iml interpretability interpretable interpretable-ai interpretable-machine-learning interpretable-ml lime machine-learning machine-learning-interpretability python transparency xai
Last synced: 16 May 2025
https://github.com/h2oai/mli-resources
H2O.ai Machine Learning Interpretability Resources
accountability data-mining data-science explainable-ml fairness fatml h2o iml interpretability interpretable-ai interpretable-machine-learning interpretable-ml jupyter-notebooks machine-learning machine-learning-interpretability mli python transparency xai xgboost
Last synced: 05 Apr 2025
https://github.com/explainx/explainx
Explainable AI framework for data scientists. Explain & debug any blackbox machine learning model with a single line of code. We are looking for co-authors to take this project forward. Reach out @ ms8909@nyu.edu
aws-sagemaker bias blackbox explainability explainable-ai explainable-artificial-intelligence explainable-ml explainx interpretability interpretable-ai interpretable-machine-learning machine-learning machine-learning-interpretability scikit-learn transparency xai
Last synced: 16 May 2025
https://github.com/explainX/explainx
Explainable AI framework for data scientists. Explain & debug any blackbox machine learning model with a single line of code. We are looking for co-authors to take this project forward. Reach out @ ms8909@nyu.edu
aws-sagemaker bias blackbox explainability explainable-ai explainable-artificial-intelligence explainable-ml explainx interpretability interpretable-ai interpretable-machine-learning machine-learning machine-learning-interpretability scikit-learn transparency xai
Last synced: 04 Apr 2025
https://github.com/sergioburdisso/pyss3
A Python package implementing a new interpretable machine learning model for text classification (with visualization tools for Explainable AI :octocat:)
artificial-intelligence data-mining document-categorization document-classification early-classification explainable-artificial-intelligence interpretability interpretable-machine-learning interpretable-ml machine-learning machine-learning-algorithms multilabel-classification natural-language-processing nlp sentence-classification ss3-classifier text-classification text-labeling text-mining xai
Last synced: 15 May 2025
https://github.com/modeloriented/modelstudio
📍 Interactive Studio for Explanatory Model Analysis
ai explainable explainable-ai explainable-machine-learning explanatory-model-analysis human iml interactive interactivity interpretability interpretable interpretable-machine-learning learning machine model model-visualization r visualization xai
Last synced: 04 Apr 2025
https://github.com/ModelOriented/modelStudio
📍 Interactive Studio for Explanatory Model Analysis
ai explainable explainable-ai explainable-machine-learning explanatory-model-analysis human iml interactive interactivity interpretability interpretable interpretable-machine-learning learning machine model model-visualization r visualization xai
Last synced: 11 May 2025
https://github.com/hbaniecki/adversarial-explainable-ai
💡 Adversarial attacks on explanations and how to defend them
adversarial adversarial-attacks adversarial-examples adversarial-machine-learning attacks counterfactual deep defense evaluation explainability explainable-ai iml interpretability interpretable interpretable-machine-learning model responsible-ai robustness security xai
Last synced: 27 Jan 2026
https://github.com/salesforce/etsformer
PyTorch code for ETSformer: Exponential Smoothing Transformers for Time-series Forecasting
deep-learning exponential-smoothing forecasting interpretable-machine-learning pytorch time-series time-series-decomposition time-series-forecasting transformers
Last synced: 07 Apr 2025
https://github.com/idealo/cnn-exposed
🕵️♂️ Interpreting Convolutional Neural Network (CNN) Results.
computer-vision deep-learning explainable-ai interpretable-machine-learning machine-learning neural-network
Last synced: 01 May 2025
https://github.com/jrieke/cnn-interpretability
🏥 Visualizing Convolutional Networks for MRI-based Diagnosis of Alzheimer’s Disease
alzheimer-disease-prediction alzheimers-disease cnn convolutional-neural-networks deep-learning interpretability interpretable-machine-learning machine-learning medical-imaging mri visualization-methods
Last synced: 13 Sep 2025
https://github.com/Graph-COM/GSAT
[ICML 2022] Graph Stochastic Attention (GSAT) for interpretable and generalizable graph learning.
deep-learning graph-neural-networks interpretability interpretable-machine-learning pytorch xai
Last synced: 21 Jul 2025
https://github.com/graph-com/gsat
[ICML 2022] Graph Stochastic Attention (GSAT) for interpretable and generalizable graph learning.
deep-learning graph-neural-networks interpretability interpretable-machine-learning pytorch xai
Last synced: 27 Jul 2025
https://github.com/pietrobarbiero/pytorch_explain
PyTorch Explain: Interpretable Deep Learning in Python.
deep-learning entropy explainability explainable-ai interpretability interpretable-ai interpretable-deep-learning interpretable-machine-learning lens logic machine-learning neural-network python pytorch sympy
Last synced: 06 Apr 2025
https://github.com/bgreenwell/fastshap
Fast approximate Shapley values in R
explainable-ai explainable-ml interpretable-machine-learning shapley shapley-values variable-importance xai
Last synced: 07 Apr 2025
https://github.com/ModelOriented/survex
Explainable Machine Learning in Survival Analysis
biostatistics brier-scores censored-data cox-model cox-regression explainable-ai explainable-machine-learning explainable-ml explanatory-model-analysis interpretable-machine-learning interpretable-ml machine-learning probabilistic-machine-learning r r-package shap survival-analysis time-to-event variable-importance xai
Last synced: 05 May 2025
https://github.com/andreysharapov/xaience
All about explainable AI, algorithmic fairness and more
explainable-ai explainable-artificial-intelligence explainable-ml interpretability interpretable-ai interpretable-deep-learning interpretable-machine-learning
Last synced: 17 Jan 2026
https://github.com/nredell/shapml.jl
A Julia package for interpretable machine learning with stochastic Shapley values
feature-importance iml interpretable-machine-learning julia shap shapley shapley-value stochastic-shapley-values
Last synced: 10 Apr 2025
https://github.com/charmlab/mace
Model Agnostic Counterfactual Explanations
counterfactual-explanations explainable-ai explainable-ml interpretable-machine-learning machine-learning xai
Last synced: 21 Nov 2025
https://github.com/M-Nauta/ProtoTree
ProtoTrees: Neural Prototype Trees for Interpretable Fine-grained Image Recognition, published at CVPR2021
computer-vision cvpr2021 decision-trees deep-neural-networks explainability explainable-ai explainable-ml fine-grained-classification fine-grained-visual-categorization interpretability interpretable-deep-learning interpretable-machine-learning pytorch
Last synced: 08 May 2025
https://github.com/nredell/shapflex
An R package for computing asymmetric Shapley values to assess causality in any trained machine learning model
causal-inference causal-networks causality ensemble feature-importance iml interpretable-machine-learning machine-learning package r r-package shap shapley shapley-value shapley-values
Last synced: 13 Apr 2025
https://github.com/nredell/shapFlex
An R package for computing asymmetric Shapley values to assess causality in any trained machine learning model
causal-inference causal-networks causality ensemble feature-importance iml interpretable-machine-learning machine-learning package r r-package shap shapley shapley-value shapley-values
Last synced: 17 Sep 2025
https://github.com/firmai/ml-fairness-framework
FairPut - Machine Learning Fairness Framework with LightGBM — Explainability, Robustness, Fairness (by @firmai)
aif360 aix360 alibi contrastive counterfactual explainable-ai explainable-ml fairness-ai fairness-indicators fairness-ml interpretable-machine-learning prototypical xai
Last synced: 06 May 2025
https://github.com/cair/convolutional-tsetlin-machine-tutorial
Tutorial on the Convolutional Tsetlin Machine
bandit-learning convolution frequent-pattern-mining interpretable-machine-learning pattern-recognition propositional-logic rule-based tsetlin-machine
Last synced: 13 Apr 2025
https://github.com/pbiecek/xaiaterum2020
Workshop: Explanation and exploration of machine learning models with R and DALEX at eRum 2020
dalex explainable-ai explanatory-model-analysis interpretable-machine-learning
Last synced: 13 Apr 2025
https://github.com/adaamko/potato
XAI based human-in-the-loop framework for automatic rule-learning.
classification explainability explainable-ai explainable-ml information-extraction interpretable-ai interpretable-machine-learning nlp nlp-machine-learning
Last synced: 27 Jul 2025
https://github.com/gianlucatruda/quantified-sleep
Quantified Sleep: Machine learning techniques for observational n-of-1 studies.
biohacking data-science explainable-ai imputation interpretable-machine-learning lasso machine-learning missing-data observational-studies oura-ring prediction quantified-self rescuetime sleep time-series
Last synced: 30 Apr 2025
https://github.com/cair/pytsetlinmachineparallel
Multi-threaded implementation of the Tsetlin Machine, Convolutional Tsetlin Machine, Regression Tsetlin Machine, and Weighted Tsetlin Machine, with support for continuous features and multigranularity.
bandit-learning classification convolution frequent-pattern-mining interpretable-machine-learning machine-learning propositional-logic regression rule-based tsetlin-machine
Last synced: 18 Jul 2025
https://github.com/keiserlab/plaquebox-paper
Repo for Tang et al, bioRxiv 454793 (2018)
alzheimers-disease amlyoid-plaques convolutional-neural-networks deep-learning dementia explainable-ai immunohistochemical-images interpretable-machine-learning machine-learning medical-image-analysis pathology plaques saliency-map
Last synced: 12 May 2025
https://github.com/sayakpaul/benchmarking-and-mli-experiments-on-the-adult-dataset
Contains benchmarking and interpretability experiments on the Adult dataset using several libraries
data-science fastai h2oai interpretable-machine-learning machine-learning microsoft-interpret tensorflow
Last synced: 30 Apr 2025
https://github.com/pyartemis/artemis
A Python package with explanation methods for extraction of feature interactions from predictive models
data-science explainability explainable-ai explainable-ml explanatory-model-analysis iml interpretability interpretable-machine-learning machine-learning predictive-modeling xai xai-library
Last synced: 13 Dec 2025
https://github.com/gully/blase
Interpretable Machine Learning for astronomical spectroscopy in PyTorch and JAX
astronomy interpretable-machine-learning machine-learning spectroscopy
Last synced: 29 Jul 2025
https://github.com/dandls/counterfactuals
counterfactuals: An R package for Counterfactual Explanation Methods
interpretable-machine-learning local-explanations model-agnostic-explanations
Last synced: 22 Jan 2026
https://github.com/solegalli/machine-learning-interpretability
Code repository for the online course Machine Learning Interpretability
explainable-ai explainable-machine-learning interpretable-machine-learning machine-learning machine-learning-algorithms
Last synced: 16 Apr 2025
https://github.com/tlverse/causalglm
Interpretable and model-robust causal inference for heterogeneous treatment effects using generalized linear working models with targeted machine-learning
causal-inference causal-learning data-science generalized-linear-models heterogeneous-treatment-effects high-dimensional-inference interpretable-machine-learning machine-learning marginal-structural-models nonparametric-statistics projection r r-package relative-risk-regression robust-statistics semiparametric-estimation statistics targeted-learning treatment-effects working-model
Last synced: 17 Sep 2025
https://github.com/jphall663/diabetes_use_case
Sample use case for Xavier AI in Healthcare conference: https://www.xavierhealth.org/ai-summit-day2/
data-mining data-science explainable-ml healthcare iml interpretability interpretable-machine-learning interpretable-ml machine-learning machine-learning-interpretability python transparency xai xgboost
Last synced: 19 Jul 2025
https://github.com/mayer79/flashlight
Machine learning explanations
interpretability interpretable-machine-learning machine-learning r r-package xai
Last synced: 21 Aug 2025
https://github.com/jphall663/hc_ml
Slides, videos and other potentially useful artifacts from various presentations on responsible machine learning.
accountability data-mining data-science explainable-ai explainable-ml fairness fairness-ai fairness-ml fatml iml interpretability interpretable-ai interpretable-machine-learning interpretable-ml machine-learning machine-learning-interpretability transparency xai
Last synced: 27 Jan 2026
https://github.com/navdeep-g/interpretable-ml
Techniques & resources for training interpretable ML models, explaining ML models, and debugging ML models.
accountability data-mining data-science decision-trees fairness fatml gradient-boosting-machine iml interpretability interpretable interpretable-ai interpretable-machine-learning interpretable-ml lime machine-learning machine-learning-interpretability python transparency xai
Last synced: 07 Oct 2025
https://github.com/ottenbreit-data-science/aplr
APLR builds predictive, interpretable regression and classification models using Automatic Piecewise Linear Regression. It often rivals tree-based methods in predictive accuracy while offering smoother and interpretable predictions.
ai artificial-intelligence classification explainability explainable-ai explainable-ml general-additive-model generalized-linear-models glm gradient-boosting interpretability interpretable-ai interpretable-machine-learning interpretable-ml linear-regression machine-learning piecewise-linear-regression regression scikit-learn transparency
Last synced: 19 Aug 2025
https://github.com/coderpat/learning-scaffold
This is the official implementation for the paper "Learning to Scaffold: Optimizing Model Explanations for Teaching"
explainable-ml interpretable-machine-learning meta-learning
Last synced: 14 Apr 2025
https://github.com/vita-group/diffses
[TPAMI] "Symbolic Visual Reinforcement Learning: A Scalable Framework with Object-Level Abstraction and Differentiable Expression Search", Wenqing Zheng*, S P Sharan*, Zhiwen Fan, Kevin Wang, Yihan Xi, Atlas Wang
interpretable-machine-learning neurosymbolic reinforcement-learning symbolic-regression
Last synced: 19 Apr 2025
https://github.com/alan-turing-institute/intro-to-transparent-ml-course
An Introduction to Transparent Machine Learning
ai-ethics interpretable-machine-learning islr python transparency
Last synced: 10 Oct 2025
https://github.com/yueyang1996/knobo
NeurIPS 2024 (spotlight): A Textbook Remedy for Domain Shifts Knowledge Priors for Medical Image Analysis
confounding domain-shift interpretable-machine-learning medical retrieval-augmented-generation
Last synced: 14 Oct 2025
https://github.com/graph-com/lri
[ICLR 2023] Learnable Randomness Injection (LRI) for interpretable Geometric Deep Learning.
deep-learning geometric-deep-learning graph-neural-networks interpretability interpretable-machine-learning pytorch xai
Last synced: 27 Jul 2025
https://github.com/h2oai/article-information-2019
Article for Special Edition of Information: Machine Learning with Python
data-science explainable-ai explainable-ml fairness-ai fairness-ml fairness-testing fatml iml interpretable-ai interpretable-machine-learning interpretable-ml machine-learning machine-learning-interpretability python xai
Last synced: 07 Apr 2025
https://github.com/MarcelRobeer/explabox
Explore/examine/explain/expose your model with the explabox!
explainable-ai explainable-ml fairness interpretable-machine-learning machine-learning python responsible-ai robustness
Last synced: 11 May 2025
https://github.com/deezer/interpretable_nn_attribution
Source code from our RecSys 2020 paper: "Making neural network interpretable with attribution: application to implicit signals prediction" (D. Afchar, R. Hennequin)
attribution deezer feature-selection interpretable-machine-learning recsys2020
Last synced: 25 Oct 2025
https://github.com/pykale/transparentml
An Introduction to Transparent Machine Learning
ai-ethics interpretable-machine-learning islr transparency
Last synced: 06 Apr 2025
https://github.com/wukevin/rnagps
Interpretable model of sub-cellular RNA localization.
interpretable-machine-learning transcriptomics
Last synced: 10 Apr 2025
https://github.com/jphall663/jsm_2018_paper
Paper for 2018 Joint Statistical Meetings: https://ww2.amstat.org/meetings/jsm/2018/onlineprogram/AbstractDetails.cfm?abstractid=329539
data-mining data-science explainable-ml fatml iml interpretability interpretable-ai interpretable-machine-learning interpretable-ml machine-learning machine-learning-interpretability python transparency xai
Last synced: 04 Aug 2025
https://github.com/bradleyboehmke/cinday-rug-iml-2018
Slides and other material for Cincinnati-Dayton useR presentation on interpretable machine learning with R
data-science interpretable-machine-learning machine-learning r shortcourse-material tutorial tutorial-code
Last synced: 13 Apr 2025
https://github.com/forestry-labs/distillml
An R package providing functions for interpreting and distilling machine learning models
bart distillation-model explainable-machine-learning explainable-ml interpretability interpretable-machine-learning machine-learning model random-forest xgboost
Last synced: 22 Apr 2025
https://github.com/rebelosa/random-subgroups
A machine learning python package for learning ensembles of subgroups for predictive tasks.
interpretability interpretable-machine-learning pysubgroup python python-package python3 random-forest scikit-learn subgroup-discovery subgroups
Last synced: 30 Jul 2025
https://github.com/xai-demonstrator/visualime
Implementation of LIME focused on producing user-centric local explanations for image classifiers.
computer-vision explainable-ai interpretable-machine-learning lime xai
Last synced: 12 May 2025
https://github.com/deezer/functional_attribution
Code of our accepted ICML 2021 paper "Towards Rigorous Interpretations: a Formalisation of Feature Attribution" (D. Afchar, R. Hennequin, V. Guigue)
deezer explainability feature-selection interpretable-machine-learning xai
Last synced: 25 Oct 2025
https://github.com/eloiz/awesome_explainable_driving
A curated list of papers on explainability and interpretability of self-driving models
autonomous-driving autonomous-vehicles explainable explainable-ai explainable-deepneuralnetwork explainable-dnn-architecture explainable-ml interpretability interpretable-machine-learning interpretable-neural-networks motion-planning self-driving self-driving-car self-driving-vehicle
Last synced: 24 Jan 2026
https://github.com/VaishaliJain/ethnicIA
"The Importance of being Ernest, Ekundayo, or Eswari: An Interpretable Machine Learning Approach to Name-based Ethnicity Classification" Authors: Vaishali Jain, Ted Enamorado, and Cynthia Rudin
interpretability interpretable-machine-learning name-classification
Last synced: 29 Jul 2025
https://github.com/hbaniecki/compress-then-explain
Efficient and accurate explanation estimation with distribution compression (ICLR 2025 Spotlight)
dalex explainable-ai feature-attribution goodpoints interpretable-machine-learning kernel-thinning pdp sage shap
Last synced: 11 Apr 2025
https://github.com/Trae1ounG/Neural_Incompatibility
Official code for ACL'25 Main: "Neural Incompatibility: The Unbridgeable Gap of Cross-Scale Parametric Knowledge Transfer in Large Language Models"
acl2025 interpretable-machine-learning llm llm-reasoning open-source
Last synced: 18 Jan 2026
https://github.com/cps-research-group/dtsemnet
Implementation of DTSemNet Architecture
decision-trees gradient-descent interpretable-machine-learning oblique-decision-tree
Last synced: 05 Feb 2026
https://github.com/medoidai/interpretable-machine-learning-blog-notebooks
Notebook examples from "A Practical Overview of Interpretable Machine Learning" blog post.
artificial-intelligence deep-learning interpretable-machine-learning machine-learning machine-learning-explainability
Last synced: 05 May 2025
https://github.com/mfumagalli68/xi-method
Xi method
explainable-ai explainable-ml interpretable-machine-learning machine-learning xai xai-library
Last synced: 14 Jan 2026
https://github.com/tpoisot/interpretablesdmwithjulia
Slides for the "Interpretable SDM with Julia" workshop
cross-validation explainable-ml interpretable-machine-learning julia machine-learning naive-bayes shapley-values species-distribution-modeling
Last synced: 13 Apr 2025
https://github.com/pyladiesams/ai-in-finance-python-lecture-beginner-may2022
AI in Finance - Python interactive lecture for students studying Finance
ai beginner-friendly creditcard finance interpretable-machine-learning machine-learning shap
Last synced: 07 May 2025
https://github.com/birkhoffg/counternet
This is the official repository of the paper "CounterNet: End-to-End Training of Counterfactual Aware Predictions".
counterfactual-explanations deep-learning explainability explainable-ai interpretability interpretable-machine-learning machine-learning nbdev pytorch recourse xai
Last synced: 28 Oct 2025
https://github.com/bgreenwell/ebm
Explainable Boosting Machines
ai blackbox explainable-ai explainable-machine-learning explainable-ml glassbox iml interpretability interpretability-and-explainability interpretable interpretable-ai interpretable-machine-learning interpretable-ml interpretable-models machine-learning xai
Last synced: 19 Aug 2025
https://github.com/futianfan/pearl
deep prototype learning for EHR data
deep-learning healthcare interpretable-machine-learning phenotyping prototype-lear rule-based-modeling
Last synced: 12 Oct 2025
https://github.com/salvatorera/cnnscan
A CT-scan of your CNN
ai artificial-intelligence cnn computer-vision convolutional-neural-network convolutional-neural-networks feature-map filters gradcam gradcam-visualization interpretability interpretable-machine-learning machine-learning pretrained-models pytorch
Last synced: 06 Apr 2025
https://github.com/sply88/vcboost
Experimental tree boosted varying coefficient model
gradient-boosting interpretable-machine-learning varying-coefficient-model
Last synced: 25 Feb 2025
https://github.com/lengerichlab/deathbyroundnumbers
Glass-box ML reveals biases in medical practice at round number thresholds
ehr interpretable-machine-learning
Last synced: 25 Feb 2025
https://github.com/vanderschaarlab/clairvoyance2
clairvoyance2: a Unified Toolkit for Medical Time Series
ai artificial-intelligence healthcare individualized-treatment-effect interpretability interpretable-machine-learning machine-learning medicine survival-analysis time-series time-series-analysis time-series-prediction treatment-effects
Last synced: 26 Feb 2025
https://github.com/adaptinfer/deathbyroundnumbers
Glass-box ML reveals biases in medical practice at round number thresholds
ehr interpretable-machine-learning
Last synced: 23 Jul 2025
https://github.com/alexanderepstein/nave
News Authentication Via Emotion
artifical-intelligence interpretable-machine-learning large-language-models misinformation
Last synced: 31 Dec 2025
https://github.com/carpentries-incubator/high-dimensional-analysis-in-python
Exploring and Modeling High-Dimensional Data
clustering high-dimensional-data interpretable-machine-learning lesson pca pre-alpha regression statistics visualization
Last synced: 02 Sep 2025
https://github.com/sumny/eagga
Multi-Objective Optimization of Performance and Interpretability of Tabular Supervised Machine Learning Models
automl hpo hyperparameter-optimization hyperparameter-tuning interpretable-machine-learning machine-learning multi-objective multiobjective optimization r r-package tabular-data tuning xai xgboost
Last synced: 08 Apr 2025
https://github.com/jbris/seldon-testing
Testing MLServer and Alibi
alibi alibi-detect alibi-explain drift-detection interpretable-machine-learning mlops mlops-project mlops-workflow mlserver model-deployment outlier-detection pyro sklearn xgboost
Last synced: 10 Mar 2025
https://github.com/zsxkib/most-under-and-over-priced-cars
Determine what influences and drives car prices given technical specs and identify which car(s) are the most under/overpriced and why.
analysis cars-dataset explainable-artificial-intelligence interpretable-machine-learning outlier-detection shap xgboost-regression
Last synced: 05 Apr 2025
https://github.com/hbaniecki/robust-feature-effects
Robustness of Global Feature Effect Explanations (ECML PKDD 2024)
accumulated-local-effects dalex explainable-ai explainable-machine-learning explanatory-model-analysis feature-attribution iml interpretable-machine-learning partial-dependence-plot
Last synced: 09 Aug 2025
https://github.com/LengerichLab/DeathByRoundNumbers
Glass-box ML reveals biases in medical practice at round number thresholds
ehr interpretable-machine-learning
Last synced: 26 Apr 2025
https://github.com/muneeb706/patient-no-show
Patient No Show Predictive Modeling Using RIPPER and Hoeffding Trees Algorithms
binary-classification hoeffding-trees interpretable-machine-learning predictive-modeling ripper shap
Last synced: 26 Mar 2025
https://github.com/cursedseraphim/nam-torch
A simple implementation of the Neural Additive Model by Agarwal et al. in PyTorch.
explainable-ai interpretable-ai interpretable-machine-learning iris-dataset machine-learning xai
Last synced: 10 Oct 2025
https://github.com/timo282/feature-effect-empirical-analysis
Interpretable ML Research Project at LMU Munich: Quantifying the the feature effect errors of PDP and ALE empirically through simulation studies
ale explainable-ai interpretable-machine-learning machine-learning pdp
Last synced: 21 Jan 2026
https://github.com/bgreenwell/sampleshap.jl
A Julia port of the fastshap package in R
explainable-ai explainable-ml interpretable-machine-learning julia-language julialang shapley-values xai
Last synced: 25 Oct 2025
https://github.com/nemat-al/advance_machine_leanring_technologies
Tasks for Advanced Machine Learning Technologies Course @ ITMO University.
deep-learning image-quality-assessment interpretable-machine-learning lime machine
Last synced: 16 Mar 2025
