Topic: interpretable-machine-learning Goto Github

👇 Here are 294 public repositories matching this topic...

12wang3 / rrl
interpretable-machine-learning,The code of NeurIPS 2021 paper "Scalable Rule-Based Representation Learning for Interpretable Classification" and TPAMI paper "Learning Interpretable Rules for Scalable Data Representation and Classification"
User: 12wang3
interpretable-classification rule-based-model representation-learning scalability interpretable-ai interpretable-ml explainable-ai explainable-ml neurips nips

adaamko / potato
interpretable-machine-learning,XAI based human-in-the-loop framework for automatic rule-learning.
User: adaamko
nlp nlp-machine-learning explainable-ai explainable-ml explainability interpretable-machine-learning interpretable-ai classification information-extraction

amirhk / mace
interpretable-machine-learning,Model Agnostic Counterfactual Explanations
User: amirhk
counterfactual-explanations explainable-ml explainable-ai xai machine-learning interpretable-machine-learning

andreysharapov / xaience
interpretable-machine-learning,All about explainable AI, algorithmic fairness and more
User: andreysharapov
explainable-ai explainable-artificial-intelligence explainable-ml interpretable-machine-learning interpretable-ai interpretable-deep-learning interpretability

atulshanbhag / layerwise-relevance-propagation
interpretable-machine-learning,Implementation of Layerwise Relevance Propagation for heatmapping "deep" layers
User: atulshanbhag
deep-learning visualization interpretable-deep-learning interpretable-machine-learning

bgreenwell / fastshap
interpretable-machine-learning,Fast approximate Shapley values in R
User: bgreenwell
Home Page: https://bgreenwell.github.io/fastshap/
shapley-values interpretable-machine-learning explainable-ml explainable-ai variable-importance shapley xai

bioroboticslab / iba
interpretable-machine-learning,Information Bottlenecks for Attribution
Organization: bioroboticslab
explainable-ai interpretable-machine-learning deep-learning

cair / convolutional-tsetlin-machine-tutorial
interpretable-machine-learning,Tutorial on the Convolutional Tsetlin Machine
Organization: cair
Home Page: https://arxiv.org/abs/1905.09688
tsetlin-machine pattern-recognition convolution interpretable-machine-learning propositional-logic rule-based bandit-learning frequent-pattern-mining

cair / pytsetlinmachineparallel
interpretable-machine-learning,Multi-threaded implementation of the Tsetlin Machine, Convolutional Tsetlin Machine, Regression Tsetlin Machine, and Weighted Tsetlin Machine, with support for continuous features and multigranularity.
Organization: cair
Home Page: https://pypi.org/project/pyTsetlinMachineParallel/
frequent-pattern-mining bandit-learning propositional-logic tsetlin-machine classification regression convolution machine-learning interpretable-machine-learning rule-based

dswah / pygam
interpretable-machine-learning,[HELP REQUESTED] Generalized Additive Models in Python
User: dswah
Home Page: https://pygam.readthedocs.io
machine-learning data-science scientific-computing python interpretable-machine-learning gams

dylan-slack / talktomodel
interpretable-machine-learning,TalkToModel gives anyone with the powers of XAI through natural language conversations 💬!
User: dylan-slack
Home Page: https://nlp.ics.uci.edu/talk-to-healthcare-model/
ai conversational-ai dialogue-systems explainability explainable-artificial-intelligence explainable-ml interpretability interpretable-machine-learning machine-learning-library machine-learning-papers

explainx / explainx
interpretable-machine-learning,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 @ [email protected]
Organization: explainx
Home Page: https://www.explainx.ai
explainable-ai explainable-artificial-intelligence machine-learning interpretability blackbox xai explainx interpretable-ai transparency bias

firmai / ml-fairness-framework
interpretable-machine-learning,FairPut - Machine Learning Fairness Framework with LightGBM — Explainability, Robustness, Fairness (by @firmai)
User: firmai
Home Page: https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3619715
fairness-ml fairness-ai fairness-indicators explainable-ai xai explainable-ml interpretable-machine-learning contrastive prototypical aif360

fzi-forschungszentrum-informatik / tsinterpret
interpretable-machine-learning,An Open-Source Library for the interpretability of time series classifiers
Organization: fzi-forschungszentrum-informatik
counterfactual-explanations explainable-ai explainable-artificial-intelligence explainable-ml feature-attribution interpretability interpretable-machine-learning interpretable-ml time-series

gianlucatruda / quantified-sleep
interpretable-machine-learning,Quantified Sleep: Machine learning techniques for observational n-of-1 studies.
User: gianlucatruda
quantified-self machine-learning data-science imputation missing-data time-series prediction biohacking sleep oura-ring rescuetime lasso observational-studies interpretable-machine-learning explainable-ai

graph-com / gsat
interpretable-machine-learning,[ICML 2022] Graph Stochastic Attention (GSAT) for interpretable and generalizable graph learning.
Organization: graph-com
Home Page: https://arxiv.org/abs/2201.12987
interpretability graph-neural-networks deep-learning pytorch interpretable-machine-learning xai

h2oai / mli-resources
interpretable-machine-learning,H2O.ai Machine Learning Interpretability Resources
Organization: h2oai
machine-learning python jupyter-notebooks interpretability data-science data-mining h2o mli xai fatml

hbaniecki / adversarial-explainable-ai
interpretable-machine-learning,💡 Adversarial attacks on explanations and how to defend them
User: hbaniecki
Home Page: https://doi.org/10.1016/j.inffus.2024.102303
interpretable-machine-learning adversarial-machine-learning iml adversarial-attacks interpretability xai explainable-ai adversarial-examples explainability attacks

idealo / cnn-exposed
interpretable-machine-learning,🕵️‍♂️ Interpreting Convolutional Neural Network (CNN) Results.
Organization: idealo
Home Page: https://speakerdeck.com/tanujjain/demystifying-the-neural-network-black-box
neural-network deep-learning computer-vision machine-learning interpretable-machine-learning explainable-ai

inouye-lab / shapleyexplanationnetworks
interpretable-machine-learning,Implementation of the paper "Shapley Explanation Networks"
Organization: inouye-lab
machine-learning iclr2021 deep-learning interpretable-machine-learning interpretable-deep-learning explainable-ai

interpretml / dice
interpretable-machine-learning,Generate Diverse Counterfactual Explanations for any machine learning model.
Organization: interpretml
Home Page: https://interpretml.github.io/DiCE/
counterfactual-explanations explainable-ml xai interpretable-machine-learning deep-learning machine-learning explainable-ai

interpretml / interpret
interpretable-machine-learning,Fit interpretable models. Explain blackbox machine learning.
Organization: interpretml
Home Page: https://interpret.ml/docs
machine-learning interpretability gradient-boosting blackbox scikit-learn xai interpretml interpretable-machine-learning interpretable-ai transparency

jphall663 / awesome-machine-learning-interpretability
interpretable-machine-learning,A curated list of awesome responsible machine learning resources.
User: jphall663
fairness xai interpretability transparency machine-learning data-science python r awesome awesome-list

jphall663 / interpretable_machine_learning_with_python
interpretable-machine-learning,Examples of techniques for training interpretable ML models, explaining ML models, and debugging ML models for accuracy, discrimination, and security.
User: jphall663
machine-learning python fatml xai gradient-boosting-machine decision-tree data-science fairness interpretable-machine-learning interpretability

jrieke / cnn-interpretability
interpretable-machine-learning,🏥 Visualizing Convolutional Networks for MRI-based Diagnosis of Alzheimer’s Disease
User: jrieke
alzheimer-disease-prediction alzheimers-disease cnn convolutional-neural-networks deep-learning interpretability interpretable-machine-learning machine-learning medical-imaging mri visualization-methods

keiserlab / plaquebox-paper
interpretable-machine-learning,Repo for Tang et al, bioRxiv 454793 (2018)
Organization: keiserlab
alzheimers-disease machine-learning amlyoid-plaques deep-learning convolutional-neural-networks interpretable-machine-learning explainable-ai dementia immunohistochemical-images pathology

lopusz / awesome-interpretable-machine-learning
interpretable-machine-learning,
User: lopusz
interpretable-machine-learning interpretable-ml interpretable-ai xai explainable-ai machine-learning data-science

m-nauta / pipnet
interpretable-machine-learning,PIP-Net: Patch-based Intuitive Prototypes Network for Interpretable Image Classification (CVPR 2023)
User: m-nauta
concepts cvpr2023 disentangled-representations explainable-ai explainable-artificial-intelligence image-classification interpretable-deep-learning interpretable-machine-learning interpretable-ml part-prototypes prototypes prototypical-learning pytorch transparency xai

m-nauta / prototree
interpretable-machine-learning,ProtoTrees: Neural Prototype Trees for Interpretable Fine-grained Image Recognition, published at CVPR2021
User: m-nauta
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

ml-for-high-risk-apps-book / machine-learning-for-high-risk-applications-book
interpretable-machine-learning,Official code repo for the O'Reilly Book - Machine Learning for High-Risk Applications
Organization: ml-for-high-risk-apps-book
deep-learning explainable-ai interpretable-machine-learning machine-learning oreilly oreilly-books responsible-ai security trustworthy-ai

modeloriented / dalex
interpretable-machine-learning,moDel Agnostic Language for Exploration and eXplanation
Organization: modeloriented
Home Page: https://dalex.drwhy.ai
machine-learning interpretability data-science xai iml model-visualization dalex explanations explainable-ai explainable-artificial-intelligence

modeloriented / modelstudio
interpretable-machine-learning,📍 Interactive Studio for Explanatory Model Analysis
Organization: modeloriented
Home Page: https://doi.org/10.1007/s10618-023-00924-w
xai iml interpretability interpretable-machine-learning explanatory-model-analysis explainable-ai explainable-machine-learning model-visualization learning machine

modeloriented / survex
interpretable-machine-learning,Explainable Machine Learning in Survival Analysis
Organization: modeloriented
Home Page: https://modeloriented.github.io/survex
brier-scores cox-regression explainable-ai explainable-machine-learning explainable-ml explanatory-model-analysis interpretable-machine-learning interpretable-ml machine-learning shap

modeloriented / treeshap
interpretable-machine-learning,Compute SHAP values for your tree-based models using the TreeSHAP algorithm
Organization: modeloriented
Home Page: https://modeloriented.github.io/treeshap/
explainability explainable-ai explainable-artificial-intelligence explanatory-model-analysis iml interpretability interpretable-machine-learning machine-learning responsible-ml shap

nredell / shapflex
interpretable-machine-learning,An R package for computing asymmetric Shapley values to assess causality in any trained machine learning model
User: nredell
shapley shapley-value ensemble machine-learning package r feature-importance shapley-values iml interpretable-machine-learning

nredell / shapml.jl
interpretable-machine-learning,A Julia package for interpretable machine learning with stochastic Shapley values
User: nredell
Home Page: https://nredell.github.io/ShapML.jl/dev/
shap shapley-value iml interpretable-machine-learning feature-importance julia stochastic-shapley-values shapley

pbiecek / xai_resources
interpretable-machine-learning,Interesting resources related to XAI (Explainable Artificial Intelligence)
User: pbiecek
xai interpretability interpretable-machine-learning

pbiecek / xaiaterum2020
interpretable-machine-learning,Workshop: Explanation and exploration of machine learning models with R and DALEX at eRum 2020
User: pbiecek
Home Page: http://tiny.cc/eRum2020
explainable-ai interpretable-machine-learning dalex explanatory-model-analysis

pietrobarbiero / pytorch_explain
interpretable-machine-learning,PyTorch Explain: Interpretable Deep Learning in Python.
User: pietrobarbiero
logic pytorch python machine-learning neural-network deep-learning explainability explainable-ai lens entropy

rachtibat / zennit-crp
interpretable-machine-learning,An eXplainable AI toolkit with Concept Relevance Propagation and Relevance Maximization
User: rachtibat
Home Page: https://www.nature.com/articles/s42256-023-00711-8
activation-maximization attribution crp deep-learning explainable-ai interpretable-machine-learning lrp relevance-maximization zennit

rehmanzafar / xai-iml-sota
interpretable-machine-learning,Interesting resources related to Explainable Artificial Intelligence, Interpretable Machine Learning, Interactive Machine Learning, Human in Loop and Visual Analytics.
User: rehmanzafar
machine-learning interpretable-models explainable-models interpretable-learning explaining-ai explanation-methods xai deep-learning-visualization interactive-machine-learning iml

salesforce / etsformer
interpretable-machine-learning,PyTorch code for ETSformer: Exponential Smoothing Transformers for Time-series Forecasting
Organization: salesforce
deep-learning interpretable-machine-learning time-series time-series-decomposition time-series-forecasting transformers exponential-smoothing forecasting pytorch

salesforce / omnixai
interpretable-machine-learning,OmniXAI: A Library for eXplainable AI
Organization: salesforce
explainable-ai explainable-ml interpretable-machine-learning machine-learning explanation

samyu0304 / graph-information-bottleneck-for-subgraph-recognition
interpretable-machine-learning,
User: samyu0304
gnn-model information-theory-and-code iclr2021 interpretable-machine-learning

selfexplainml / piml-toolbox
interpretable-machine-learning,PiML (Python Interpretable Machine Learning) toolbox for model development & diagnostics
Organization: selfexplainml
Home Page: https://selfexplainml.github.io/PiML-Toolbox
interpretable-machine-learning low-code ml-workflow model-diagnostics

sergioburdisso / pyss3
interpretable-machine-learning,A Python package implementing a new interpretable machine learning model for text classification (with visualization tools for Explainable AI :octocat:)
User: sergioburdisso
Home Page: https://pyss3.readthedocs.io
xai text-classification machine-learning machine-learning-algorithms artificial-intelligence explainable-artificial-intelligence data-mining early-classification ss3-classifier nlp

sinamohseni / awesome-xai-evaluation
interpretable-machine-learning,Reference tables to introduce and organize evaluation methods and measures for explainable machine learning systems
User: sinamohseni
awesome awesome-list interpretable-machine-learning xai-evaluation

vincentgranville / machine-learning
interpretable-machine-learning,Material related to my book Intuitive Machine Learning. Some of this material is also featured in my new book Synthetic Data and Generative AI.
User: vincentgranville
Home Page: https://mltechniques.com/product/intuitive-machine-learning/
explainable-ai interpretable-ai interpretable-machine-learning machine-learning

yewsiang / conceptbottleneck
interpretable-machine-learning,Concept Bottleneck Models, ICML 2020
User: yewsiang
concept-bottleneck-models osteoarthritis-initiative cub-dataset concepts interpretability interpretable-machine-learning computer-vision

zju-vipa / awesome-neural-trees
interpretable-machine-learning,Introduction, selected papers and possible corresponding codes in our review paper "A Survey of Neural Trees"
Organization: zju-vipa
awesome-list decision-trees explainable-artificial-intelligence interpretability interpretable-machine-learning neural-networks