Projects in Awesome Lists tagged with interpretable-ml
A curated list of projects in awesome lists tagged with interpretable-ml .
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/pytorch/captum
Model interpretability and understanding for PyTorch
feature-attribution feature-importance interpretability interpretable-ai interpretable-ml
Last synced: 13 May 2025
https://github.com/milescranmer/pysr
High-Performance Symbolic Regression in Python and Julia
algorithm automl data-science distributed-systems equation-discovery evolutionary-algorithms explainable-ai genetic-algorithm interpretable-ml julia machine-learning python scikit-learn symbolic symbolic-regression
Last synced: 12 May 2025
https://github.com/milesCranmer/PySR
High-Performance Symbolic Regression in Python and Julia
algorithm automl data-science distributed-systems equation-discovery evolutionary-algorithms explainable-ai genetic-algorithm interpretable-ml julia machine-learning python scikit-learn symbolic symbolic-regression
Last synced: 31 Mar 2025
https://github.com/MilesCranmer/PySR
High-Performance Symbolic Regression in Python and Julia
algorithm automl data-science distributed-systems equation-discovery evolutionary-algorithms explainable-ai genetic-algorithm interpretable-ml julia machine-learning python scikit-learn symbolic symbolic-regression
Last synced: 26 Mar 2025
https://github.com/CSAILVision/gandissect
Pytorch-based tools for visualizing and understanding the neurons of a GAN. https://gandissect.csail.mit.edu/
deep-learning gan generative-adversarial-network image-manipulation interactive-visualizations interpretable-ml pytorch
Last synced: 02 May 2025
https://github.com/csailvision/gandissect
Pytorch-based tools for visualizing and understanding the neurons of a GAN. https://gandissect.csail.mit.edu/
deep-learning gan generative-adversarial-network image-manipulation interactive-visualizations interpretable-ml pytorch
Last synced: 08 Apr 2025
https://github.com/astroautomata/SymbolicRegression.jl
Distributed High-Performance Symbolic Regression in Julia
automl data-science distributed-systems equation-discovery evolutionary-algorithms explainable-ai genetic-algorithm interpretable-ml julia machine-learning sciml symbolic symbolic-computation symbolic-regression
Last synced: 29 Mar 2026
https://github.com/MilesCranmer/SymbolicRegression.jl
Distributed High-Performance Symbolic Regression in Julia
automl data-science distributed-systems equation-discovery evolutionary-algorithms explainable-ai genetic-algorithm interpretable-ml julia machine-learning sciml symbolic symbolic-computation symbolic-regression
Last synced: 04 May 2025
https://github.com/milescranmer/symbolicregression.jl
Distributed High-Performance Symbolic Regression in Julia
automl data-science distributed-systems equation-discovery evolutionary-algorithms explainable-ai genetic-algorithm interpretable-ml julia machine-learning sciml symbolic symbolic-computation symbolic-regression
Last synced: 14 May 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/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/chr5tphr/zennit
Zennit is a high-level framework in Python using PyTorch for explaining/exploring neural networks using attribution methods like LRP.
attribution deep-learning explainability explainable-ai feature-attribution interpretability interpretable-ai interpretable-ml lrp machine-learning python pytorch xai
Last synced: 09 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/xiyanghu/OSDT
Optimal Sparse Decision Trees
accelerate acceleration-model algorithm algorithm-optimization data-mining data-science interpretable-ml machine-learning ml-system mlsys neurips python python3
Last synced: 27 Mar 2025
https://github.com/willbakst/pytorch-lattice
A PyTorch implementation of constrained optimization and modeling techniques
constrained-optimization explainable-ai explainable-ml interpretable-ai interpretable-ml shape-constraints
Last synced: 10 Mar 2026
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 aplr automatic-piecewise-linear-regression classification explainable-ai explainable-boosting generalized-linear-models glm gradient-boosting interpretability interpretable-ai interpretable-machine-learning interpretable-ml linear-regression machine-learning piecewise-regression regression scikit-learn segmented-regression transparency
Last synced: 25 Apr 2026
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/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: 12 Mar 2026
https://github.com/schwettmann/visual-vocab
Pytorch-based tools for constructing a vocabulary of visual concepts in a GAN.
deep-learning gan human-computer-interaction interpretable-ml pytorch
Last synced: 08 May 2025
https://github.com/slds-lmu/imlplots
Create Interpretable Machine Learning plots with an interactive Shiny based dashboard
interpretable-ml shinydashboard
Last synced: 16 Mar 2026
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/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/adc-trust-ai/trust-free
An interpretable regression model in Python with Random-Forest-level accuracy
ai-safety compliance decision-trees education explainable-ai finance healthcare interpretable-ml linear-models machine-learning model-trees python random-forest regression-models research tree
Last synced: 14 Jan 2026
https://github.com/parantapa/integrated-directional-gradients
Implementation of the Integrated Directional Gradients method for Deep Neural Network model explanations.
feature-attribution feature-importance interpretability interpretable-ai interpretable-ml
Last synced: 16 Jan 2026
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/urmzd/experimental-transformer-architectures
Can a language model learn algorithms instead of memorizing patterns? Exploring extreme parameter efficiency in vocabulary space — 350K params, no embedding, no output projection, every intermediate state readable as words.
interpretable-ml language-model meta-learning parameter-golf pytorch register-machine reinforcement-learning
Last synced: 04 May 2026
