Projects in Awesome Lists tagged with explainable-ml
A curated list of projects in awesome lists tagged with explainable-ml .
https://github.com/jacobgil/pytorch-grad-cam
Advanced AI Explainability for computer vision. Support for CNNs, Vision Transformers, Classification, Object detection, Segmentation, Image similarity and more.
class-activation-maps computer-vision deep-learning explainable-ai explainable-ml grad-cam image-classification interpretability interpretable-ai interpretable-deep-learning machine-learning object-detection pytorch score-cam vision-transformers visualizations xai
Last synced: 12 May 2025
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/microsoft/tensorwatch
Debugging, monitoring and visualization for Python Machine Learning and Data Science
ai data-science debug debugging debugging-tool deep-learning deeplearning explainable-ai explainable-ml jupyter jupyter-notebook machine-learning machinelearning model-visualization monitoring python reinforcement-learning saliency
Last synced: 14 May 2025
https://github.com/truera/trulens
Evaluation and Tracking for LLM Experiments and AI Agents
agent-evaluation agentops ai-agents ai-monitoring ai-observability evals explainable-ml llm-eval llm-evaluation llmops llms machine-learning neural-networks
Last synced: 10 Mar 2026
https://github.com/maif/shapash
🔅 Shapash: User-friendly Explainability and Interpretability to Develop Reliable and Transparent Machine Learning Models
ethical-artificial-intelligence explainability explainable-ml interpretability lime machine-learning python shap transparency
Last synced: 30 Jan 2026
https://github.com/MAIF/shapash
🔅 Shapash: User-friendly Explainability and Interpretability to Develop Reliable and Transparent Machine Learning Models
ethical-artificial-intelligence explainability explainable-ml interpretability lime machine-learning python shap transparency
Last synced: 26 Mar 2025
https://github.com/divelab/dig
A library for graph deep learning research
3d-graph deep-learning explainable-ml graph-generation graph-neural-network self-supervised-learning
Last synced: 14 May 2025
https://github.com/divelab/DIG
A library for graph deep learning research
3d-graph deep-learning explainable-ml graph-generation graph-neural-network self-supervised-learning
Last synced: 28 Mar 2025
https://github.com/Trusted-AI/AIX360
Interpretability and explainability of data and machine learning models
artificial-intelligence codait deep-learning explainabil explainable-ai explainable-ml ibm-research ibm-research-ai machine-learning trusted-ai trusted-ml xai
Last synced: 27 Mar 2025
https://github.com/trusted-ai/aix360
Interpretability and explainability of data and machine learning models
artificial-intelligence codait deep-learning explainabil explainable-ai explainable-ml ibm-research ibm-research-ai machine-learning trusted-ai trusted-ml xai
Last synced: 12 Jan 2026
https://github.com/microsoft/responsible-ai-toolbox
Responsible AI Toolbox is a suite of tools providing model and data exploration and assessment user interfaces and libraries that enable a better understanding of AI systems. These interfaces and libraries empower developers and stakeholders of AI systems to develop and monitor AI more responsibly, and take better data-driven actions.
data-analysis data-science data-visualization error-analysis explainability explainable-ai explainable-ml fairness fairness-ai fairness-ml interpretability jupyter machine-learning machinelearning ml responsible-ai ui visualization widget widgets
Last synced: 13 May 2025
https://github.com/csinva/imodels
Interpretable ML package 🔍 for concise, transparent, and accurate predictive modeling (sklearn-compatible).
ai artificial-intelligence bayesian-rule-list data-science explainable-ai explainable-ml imodels interpretability machine-learning ml optimal-classification-tree python rule-learning rulefit rules scikit-learn statistics supervised-learning
Last synced: 13 May 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: 13 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://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/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/ethicalml/xai
XAI - An eXplainability toolbox for machine learning
ai artificial-intelligence bias bias-evaluation downsampling evaluation explainability explainable-ai explainable-ml feature-importance imbalance interpretability machine-learning machine-learning-explainability ml upsampling xai xai-library
Last synced: 15 May 2025
https://github.com/EthicalML/xai
XAI - An eXplainability toolbox for machine learning
ai artificial-intelligence bias bias-evaluation downsampling evaluation explainability explainable-ai explainable-ml feature-importance imbalance interpretability machine-learning machine-learning-explainability ml upsampling xai xai-library
Last synced: 14 Mar 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/deel-ai/xplique
👋 Xplique is a Neural Networks Explainability Toolbox
explainable-ai explainable-ml interpretability 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/keisen/tf-keras-vis
Neural network visualization toolkit for tf.keras
activation-maximization deep-learning explainability explainable-ai explainable-ml grad-cam gradcam gradcam-plus-plus keras keras-vis keras-visualization python saliency saliency-maps score-cam tensorflow visualization xai xai-library
Last synced: 15 May 2025
https://github.com/carla-recourse/carla
CARLA: A Python Library to Benchmark Algorithmic Recourse and Counterfactual Explanation Algorithms
artificial-intelligence benchmark benchmarking counterfactual counterfactual-explanations counterfactuals explainability explainable-ai explainable-ml machine-learning python pytorch recourse tensorflow tensorflow2
Last synced: 05 Apr 2025
https://github.com/ashutosh1919/explainable-cnn
📦 PyTorch based visualization package for generating layer-wise explanations for CNNs.
cnn cnn-classification cnn-pytorch cnn-visualization cnn-visualization-technique explainable-ai explainable-ml grad-cam grad-cam-visualization guided-backpropagation guided-grad-cam pytorch pytorch-implementation saliency-detection saliency-map visualization
Last synced: 05 Apr 2025
https://github.com/benedekrozemberczki/shapley
The official implementation of "The Shapley Value of Classifiers in Ensemble Games" (CIKM 2021).
classifier deep-learning ensemble ensemble-learning explainable-ai explainable-ml game-theory game-theory-toolbox machine-learning owen random-forest random-forest-classifier shapley shapley-value voting-classifier voting-game weighted-voting-games
Last synced: 05 Apr 2025
https://github.com/mims-harvard/graphxai
GraphXAI: Resource to support the development and evaluation of GNN explainers
benchmarking deep-learning embeddings explainability explainable-ai explainable-ml graph-machine-learning graph-neural-networks interpretability
Last synced: 10 Oct 2025
https://github.com/NorskRegnesentral/shapr
Explaining the output of machine learning models with more accurately estimated Shapley values
explainable-ai explainable-ml rcpp rcpparmadillo rstats shapley
Last synced: 13 Jul 2025
https://github.com/norskregnesentral/shapr
Explaining the output of machine learning models with more accurately estimated Shapley values
explainable-ai explainable-ml rcpp rcpparmadillo rstats shapley
Last synced: 21 Jan 2026
https://github.com/astrazeneca/awesome-shapley-value
Reading list for "The Shapley Value in Machine Learning" (JCAI 2022)
artificial-intelligence data-science deep-learning explainability explainable explainable-ai explainable-artificial-intelligence explainable-ml lime machine-learning owen-value shap shapley shapley-additive-explanations shapley-decomposition shapley-q-value shapley-value xai
Last synced: 26 Dec 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/ajayarunachalam/deep_xf
Package towards building Explainable Forecasting and Nowcasting Models with State-of-the-art Deep Neural Networks and Dynamic Factor Model on Time Series data sets with single line of code. Also, provides utilify facility for time-series signal similarities matching, and removing noise from timeseries signals.
auto-ml auto-timeseries deep-learning deep-neural-networks ecg-signal explainable-ml forecasting forecasting-models interpretable-ai machine-learning multivariate nowcasting-models python sensors siamese-neural-network time-series time-series-analysis timeseries
Last synced: 31 Aug 2025
https://github.com/d909b/cxplain
Causal Explanation (CXPlain) is a method for explaining the predictions of any machine-learning model.
deep-learning explainability explainable-ai explainable-ml interpretability machine-learning
Last synced: 17 Sep 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/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/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/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/xplainable/xplainable
Real-time explainable machine learning for business optimisation
auto-ml data-analytics data-science explainable-ai explainable-ml machine-learning machine-learning-algorithms prediction predictions python shap statistics xai xplainable
Last synced: 17 May 2026
https://github.com/neemakot/Health-Fact-Checking
Dataset and code for "Explainable Automated Fact-Checking for Public Health Claims" from EMNLP 2020.
emnlp2020 explainable-ai explainable-ml fact-checking fake-news fake-news-detection public-health
Last synced: 12 Apr 2025
https://github.com/wangyongjie-ntu/cfai
A collection of algorithms of counterfactual explanations.
counterfactual-explanations explainable-ai explainable-machine-learning explainable-ml interpretability pytorch recourse
Last synced: 17 Jul 2025
https://github.com/wilsonjr/clustershapley
Explaining dimensionality results using SHAP values
cluster-formation dimensionality-reduction explainable-ai explainable-ml explanations machine-learning visualizations
Last synced: 02 Apr 2026
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/wilsonjr/ClusterShapley
Explaining dimensionality results using SHAP values
cluster-formation dimensionality-reduction explainable-ai explainable-ml explanations machine-learning visualizations
Last synced: 01 May 2025
https://github.com/rikhuijzer/sirus.jl
Interpretable Machine Learning via Rule Extraction
explainable-ai explainable-ml machine-learning
Last synced: 14 Apr 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/lucko515/cnn-raccoon
Create interactive dashboards for your Convolutional Neural Networks with a single line of code!
convolutional-neural-networks dashboards deep-learning explainable-ml keras pytorch tensorflow visualization-tools
Last synced: 14 Oct 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/microsoft/responsible-ai-workshop
Responsible AI Workshop: a series of tutorials & walkthroughs to illustrate how put responsible AI into practice
error-analysis explainability explainable-ai explainable-ml fairness fairness-ai fairness-ml jupyter-notebook machine-learning ml mlops-workshop principles responsible-ai widgets
Last synced: 16 Mar 2026
https://github.com/marvinbuss/explainableml-vision
This repository introduces different Explainable AI approaches and demonstrates how they can be implemented with PyTorch and torchvision. Used approaches are Class Activation Mappings, LIMA and SHapley Additive exPlanations.
cam class-activation-maps data-science explainable-ai explainable-deepneuralnetwork explainable-ml hymenoptera-dataset lime machine-learning notebook pytorch shap transfer-learning
Last synced: 29 Jul 2025
https://github.com/divyat09/cf-feasibility
Code accompanying the paper "Preserving Causal Constraints in Counterfactual Explanations for Machine Learning Classifiers"
causality counterfactual-explanations explainable-ml machine-learning neurips-2019
Last synced: 20 Aug 2025
https://github.com/networks-learning/strategic-decisions
Code and data for decision making under strategic behavior, NeurIPS 2020 & Management Science 2024.
algorithmic-recourse counterfactual-explanations decision-making explainable-ai explainable-ml incentives strategic-ml
Last synced: 23 Apr 2025
https://github.com/karyframling/py-ciu
Explainable Artificial Intelligence through Contextual Importance and Utility
explainable-ai explainable-artificial-intelligence explainable-ml python
Last synced: 02 Aug 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/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/KaryFramling/py-ciu
Explainable Artificial Intelligence through Contextual Importance and Utility
explainable-ai explainable-artificial-intelligence explainable-ml python
Last synced: 11 May 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/networks-learning/counterfactual-explanations-mdp
Code for "Counterfactual Explanations in Sequential Decision Making Under Uncertainty", NeurIPS 2021
cognitive-therapy counterfactual-explanations counterfactuals explainable-ai explainable-ml machine-learning markov-deci mdp sequential-decision-making-problems
Last synced: 05 Jul 2025
https://github.com/networks-learning/counterfactual-tpp
Code and real data for "Counterfactual Temporal Point Processes", NeurIPS 2022
counterfactual explainable-ai explainable-ml gumbel-max point-process structural-causal-model temporal-point-process
Last synced: 23 Apr 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/prclibo/ice
Interpretable Control Exploration and Counterfactual Explanation (ICE) on StyleGAN
counterfactual-explanations explainability explainable-ai explainable-artificial-intelligence explainable-machine-learning explainable-ml face-editing face-generation face-manipulation gan interpretability interpretable-ai interpretable-deep-learning pytorch stylegan2
Last synced: 19 Jan 2026
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/laminetourelab/explainable-ai
In this repository you will fine explainability of machine learning models.
explainability explainable-ai explainable-ml explainerdashboard interpretability lime machine-learning model shap shapash shapely shapley shapley-additive-explanations
Last synced: 25 Jan 2026
https://github.com/csinva/clinical-rule-development
Building and vetting clinical decision rules.
ai artificial-intelligence clinical decision-rules decision-tree emergency-medicine explainable-ai explainable-ml interpretability large-language-models llm machine-learning medical medicine ml pecarn statistics trauma xai
Last synced: 27 Feb 2026
https://github.com/csinva/iai-clinical-decision-rule
Interpretable clinical decision rules for predicting intra-abdominal injury.
ai artificial-intelligence decision-rules explainable-ai explainable-ml interpretability machine-learning medical medicine ml statistics
Last synced: 11 Mar 2025
https://github.com/optum/long-medical-document-lms
Explain and train language models that extract information from long medical documents with the Masked Sampling Procedure (MSP)
deep-learning explainable-ml lms
Last synced: 14 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/networks-learning/counterfactual-continuous-mdp
Code for "Finding Counterfactually Optimal Action Sequences in Continuous State Spaces", NeurIPS 2023.
causality counterfactuals decision-making decision-making-under-uncertainty explainable-ai explainable-ml machine-learning markov-decision-processes
Last synced: 23 Apr 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/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/jpmorganchase/cf-shap
Counterfactual SHAP: a framework for counterfactual feature importance
algorithmic-recourse counterfactual-explanations counterfactuals explainability explainable-ai explainable-artificial-intelligence explainable-machine-learning explainable-ml explanations facct2022 feature-attribution feature-importance machine-learning shap shapley shapley-values tree-based xgboost
Last synced: 23 Aug 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/qetdr/xautoml-project2
Explainable Automated Machine Learning Framework for Predicting the Risk of Major Adverse Cardiac Event (MACE)
auto-sklearn explainable-ml hyperparameter-optimization tpot tpot-automl
Last synced: 17 Aug 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/wiese-m/survival-studio
Survival Studio - a tool for automatic and interactive exploration of complex survival models. The project is carried out as part of the master's thesis supervised by Przemyslaw Biecek.
dashboard-application data-science explainable-ml plotly python survival-models
Last synced: 13 May 2026
https://github.com/henrikbostrom/xrf
xrf is a Python package that implements random forests with example attribution
classification example-based-explanations explainability explainable-ai explainable-artificial-intelligence explainable-machine-learning explainable-ml machine-learning random-forest regression
Last synced: 16 Oct 2025
https://github.com/networks-learning/human-aligned-calibration
Code for "Human-Aligned Calibration for AI-Assisted Decision Making", NeurIPS 2023
alignment calibration decision-making decision-making-under-uncertainty explainable-ai explainable-ml human-ai human-ai-teaming machine-learning
Last synced: 10 Oct 2025
https://github.com/pyladiesams/intro-to-explainabilty-in-finance-oct2024
Building a model is just one piece of the puzzle in data science; explaining how it works is just as important, especially in finance where transparency and explainability is key.
explainable-ai explainable-artificial-intelligence explainable-machine-learning explainable-ml shapley-value workshop
Last synced: 23 Sep 2025
https://github.com/fork123aniket/model-agnostic-graph-explainability-from-scratch
Implementation of Model-Agnostic Graph Explainability Technique from Scratch in PyTorch
explainability explainable-ai explainable-machine-learning explainable-ml explainer explanations graph-neural-networks pytorch pytorch-geometric pytorch-implementation
Last synced: 19 Apr 2026
https://github.com/maxreiss123/geneexpressionprogramming.jl
Gene Expression Programming for symbolic regression in Julia
explainable-ai explainable-ml gene-expression-programming julia machine-learning scientific-machine-learning symbolic-regression tensor-regression
Last synced: 10 Apr 2025
https://github.com/kwokhing/shap-xai-demo
Demo on performing Explainable AI using the SHAP Library
explainable-ai explainable-ml shap xai
Last synced: 12 Aug 2025
https://github.com/h-fuzzy-logic/explainability-fairness-safety-for-ai
Resources to improve the explainability, fairness, and safety of your AI
ai ethical-artificial-intelligence explainable-ai explainable-ml machine-learning
Last synced: 17 Jan 2026
https://github.com/ritu-thombre99/explaining_quanvolution
This work explores whether the quanvolution neural network is explainable by proposing a novel mathematical approach for quantifying explainability
explainability explainable-ai explainable-artificial-intelligence explainable-ml pennylane qml qnn quantum quantum-computing quantum-neural-network quanvolutional
Last synced: 08 Jul 2025
https://github.com/nyxflower/drugdiscovery
An explainable inductive learning model on gene regulatory and toxicogenomic knowledge graph (under development...)
drug-design drug-discovery drug-repurposing explainable-ml gene-regulatory-networks gnn heterogeneous-graph inductive-learning knowledge-graph molecular-mechanics new-dataset predictive-models systems-biology
Last synced: 11 Oct 2025
https://github.com/pranav2092/intrustion-detection-using-modified-tree-shap
artificial-intelligence explainable-ai explainable-artificial-intelligence explainable-machine-learning explainable-ml google-colab intrusion-detection jupyter-notebook machine-learning modified-tree-shap python3 random-forest-classifier shap-values shapley-value tree-shap unsw-nb15
Last synced: 21 Apr 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/gesiscss/discrimination-in-relational-classification
Data-driven discrimination in relational classification
bias collective-inference explainable-ml machine-learning python3 relational-classification
Last synced: 04 Apr 2025
https://github.com/nandahkrishna/sarcasmdetection
Detecting sarcasm in Reddit comments
bert-embeddings classification explainable-ml jupyter-notebook machine-learning natural-language-processing python reddit sarcasm sarcasm-detection tfidf
Last synced: 14 May 2026
https://github.com/omidghadami95/efficientnetv2_catvsdog
Binary classification, SHAP (Explainable Artificial Intelligence), and Grid Search (for tuning hyperparameters) using EfficientNetV2-B0 on Cat VS Dog dataset.
binary binary-classification catvsdog catvsdog-classifier deep-learning efficientnet efficientnetv2 efficientnetv2-b0 explainable-ai explainable-ml fairness-ai fairness-ml gridsearch imbalanced-data imbalanced-dataset keras shap tensorflow2
Last synced: 17 Apr 2026
https://github.com/slipnitskaya/regulas
regulAS: Bioinformatics Toolset for ML-assisted Integrative Analysis of Alternative Splicing Regulome using RNA-Seq data
bioinformatics explainable-ml feature-selection machine-learning omics rna-seq software splicing transcriptomics
Last synced: 20 Apr 2026
https://github.com/mdietrichstein/xai-statlog-heart
Exploration of ML Explainability Methods on the Statlog (Heart) Data Set
docker explainable-ml exploratory-data-analysis exploratory-data-visualizations health heart reproducibility scikit xai
Last synced: 30 Apr 2026
