GitHub topics: feature-attribution
pytorch/captum
Model interpretability and understanding for PyTorch
Language: Python - Size: 306 MB - Last synced at: 1 day ago - Pushed at: 6 days ago - Stars: 5,209 - Forks: 517

mmschlk/shapiq
Shapley Interactions and Shapley Values for Machine Learning
Language: Python - Size: 309 MB - Last synced at: 8 days ago - Pushed at: 8 days ago - Stars: 514 - Forks: 34

chr5tphr/zennit
Zennit is a high-level framework in Python using PyTorch for explaining/exploring neural networks using attribution methods like LRP.
Language: Python - Size: 2.28 MB - Last synced at: 3 days ago - Pushed at: 10 months ago - Stars: 225 - Forks: 34

kennethsible/confidence-estimation
Using Source-Side Confidence Estimation for Reliable Translation into Unfamiliar Languages
Language: Python - Size: 179 MB - Last synced at: 22 days ago - Pushed at: 22 days ago - Stars: 0 - Forks: 0

fzi-forschungszentrum-informatik/TSInterpret
An Open-Source Library for the interpretability of time series classifiers
Language: Python - Size: 200 MB - Last synced at: about 13 hours ago - Pushed at: 6 months ago - Stars: 133 - Forks: 14

Julia-XAI/ExplainableAI.jl
Explainable AI in Julia.
Language: Julia - Size: 41.6 MB - Last synced at: 5 days ago - Pushed at: about 1 month ago - Stars: 112 - Forks: 3

hbaniecki/compress-then-explain
Efficient and accurate explanation estimation with distribution compression (ICLR 2025 Spotlight)
Language: Python - Size: 1.25 MB - Last synced at: about 1 month ago - Pushed at: 3 months ago - Stars: 7 - Forks: 1

ecm200/caltech_birds
A set of notebooks as a guide to the process of fine-grained image classification of birds species, using PyTorch based deep neural networks.
Language: Jupyter Notebook - Size: 282 MB - Last synced at: 25 days ago - Pushed at: 3 months ago - Stars: 45 - Forks: 9

Animadversio/Neuronal_Feature_Attribution_Model
Feature Attribution methods for neurons and Evolution experiments
Language: Jupyter Notebook - Size: 4.13 MB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 0 - Forks: 0

DFKI-NLP/SMV
Code and data for the ACL 2023 NLReasoning Workshop paper "Saliency Map Verbalization: Comparing Feature Importance Representations from Model-free and Instruction-based Methods" (Feldhus et al., 2023)
Language: Python - Size: 11.1 MB - Last synced at: 3 months ago - Pushed at: almost 2 years ago - Stars: 9 - Forks: 1

gsarti/pecore
Materials for "Quantifying the Plausibility of Context Reliance in Neural Machine Translation" at ICLR'24 🐑 🐑
Language: Jupyter Notebook - Size: 295 MB - Last synced at: 7 days ago - Pushed at: about 1 year ago - Stars: 14 - Forks: 1

gsarti/lcl23-xnlm-lab
Materials for the Lab "Explaining Neural Language Models from Internal Representations to Model Predictions" at AILC LCL 2023 🔍
Language: Jupyter Notebook - Size: 4.46 MB - Last synced at: 29 days ago - Pushed at: almost 2 years ago - Stars: 13 - Forks: 2

DFKI-NLP/thermostat
Collection of NLP model explanations and accompanying analysis tools
Language: Jsonnet - Size: 1.37 MB - Last synced at: about 1 month ago - Pushed at: almost 2 years ago - Stars: 145 - Forks: 8

hbaniecki/robust-feature-effects
Robustness of Global Feature Effect Explanations (ECML PKDD 2024)
Language: Jupyter Notebook - Size: 1.15 MB - Last synced at: about 2 months ago - Pushed at: 9 months ago - Stars: 1 - Forks: 0

FilomKhash/Tree-based-paper
Codes for the paper On marginal feature attributions of tree-based models
Language: Jupyter Notebook - Size: 118 MB - Last synced at: 10 months ago - Pushed at: 10 months ago - Stars: 1 - Forks: 0

jingyan-li/TrafficForecastUnetInterpret-Python
Understanding the UNet for Traffic Forecasting Task - A Visual Analytics Approach
Language: Jupyter Notebook - Size: 8.8 MB - Last synced at: 11 months ago - Pushed at: 11 months ago - Stars: 0 - Forks: 0

KurtButler/2024_attributions_paper
Reproducible code for our paper "Explainable Learning with Gaussian Processes"
Language: MATLAB - Size: 694 KB - Last synced at: 12 months ago - Pushed at: 12 months ago - Stars: 1 - Forks: 0

sbrodehl/remotesensing-14-03760
⛈️ Code for the paper "End-to-End Prediction of Lightning Events from Geostationary Satellite Images"
Language: Python - Size: 104 KB - Last synced at: over 1 year ago - Pushed at: about 2 years ago - Stars: 7 - Forks: 1

parantapa/integrated-directional-gradients
Implementation of the Integrated Directional Gradients method for Deep Neural Network model explanations.
Language: Python - Size: 212 KB - Last synced at: over 1 year ago - Pushed at: over 3 years ago - Stars: 4 - Forks: 0

hmohebbi/ValueZeroing
The official repo for the EACL 2023 paper "Quantifying Context Mixing in Transformers"
Language: Python - Size: 64.5 KB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 6 - Forks: 1

jpmorganchase/cf-shap
Counterfactual SHAP: a framework for counterfactual feature importance
Language: HTML - Size: 713 KB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 5 - Forks: 2

yuasosnin/financial-market-shap
Bachelor's thesis for degree in Economics at HSE University, Saint-Petersburg (2022)
Language: Jupyter Notebook - Size: 114 MB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 1 - Forks: 0
