feature-attribution
There are 20 repositories under feature-attribution topic.
pytorch/captum
Model interpretability and understanding for PyTorch
chr5tphr/zennit
Zennit is a high-level framework in Python using PyTorch for explaining/exploring neural networks using attribution methods like LRP.
DFKI-NLP/thermostat
Collection of NLP model explanations and accompanying analysis tools
fzi-forschungszentrum-informatik/TSInterpret
An Open-Source Library for the interpretability of time series classifiers
Julia-XAI/ExplainableAI.jl
Explainable AI in Julia.
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.
jpmorganchase/cf-shap
Counterfactual SHAP: a framework for counterfactual feature importance
gsarti/lcl23-xnlm-lab
Materials for the Lab "Explaining Neural Language Models from Internal Representations to Model Predictions" at AILC LCL 2023 🔍
gsarti/pecore
Materials for "Quantifying the Plausibility of Context Reliance in Neural Machine Translation" at ICLR'24 🐑 🐑
hmohebbi/ValueZeroing
The official repo for the EACL 2023 paper "Quantifying Context Mixing in Transformers"
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)
sbrodehl/remotesensing-14-03760
⛈️ Code for the paper "End-to-End Prediction of Lightning Events from Geostationary Satellite Images"
parantapa/integrated-directional-gradients
Implementation of the Integrated Directional Gradients method for Deep Neural Network model explanations.
FilomKhash/Tree-based-paper
Codes for the paper On marginal feature attributions of tree-based models
KurtButler/2024_attributions_paper
Reproducible code for our paper "Explainable Learning with Gaussian Processes"
yuasosnin/financial-market-shap
Bachelor's thesis for degree in Economics at HSE University, Saint-Petersburg (2022)
hbaniecki/robust-feature-effects
Robustness of Global Feature Effect Explanations (ECML PKDD 2024)
Animadversio/Neuronal_Feature_Attribution_Model
Feature Attribution methods for neurons and Evolution experiments
hbaniecki/compress-then-explain
Efficient and Accurate Explanation Estimation with Distribution Compression (ICML 2024 Workshops)
jingyan-li/TrafficForecastUnetInterpret-Python
Understanding the UNet for Traffic Forecasting Task - A Visual Analytics Approach