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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

Related Keywords
feature-attribution 22 interpretability 11 explainable-ai 9 machine-learning 5 interpretable-machine-learning 5 explainability 5 interpretable-ml 4 transformers 4 interpretable-ai 4 feature-importance 4 xai 3 shap 3 deep-learning 3 machine-translation 2 counterfactual-explanations 2 explainable-artificial-intelligence 2 explainable-ml 2 dalex 2 cnn 2 explainable-nlp 2 integrated-gradients 2 saliency-maps 2 explainable-machine-learning 2 pytorch 2 lrp 2 python 2 shapley 2 class-imbalance 1 sparse-approximations 1 gaussian-processes 1 unet 1 traffic-forecasting 1 tree-based-methods 1 partial-dependence-plot 1 iml 1 explanatory-model-analysis 1 banzhaf-index 1 accumulated-local-effects 1 natural-language-processing 1 heatmaps 1 datasets 1 captum 1 tutorial 1 probing-task 1 stock-price-prediction 1 financial-machine-learning 1 xgboost 1 tree-based 1 shapley-values 1 facct2022 1 explanations 1 counterfactuals 1 algorithmic-recourse 1 pre-trained-language-models 1 contextualized-representation 1 attention-mechanism 1 short-term-forecasts 1 satellite-imagery 1 nowcasting 1 neural-networks 1 meteorology 1 lightning-prediction 1 manifold-learning 1 image-classification 1 deep-neural-networks 1 cub-200-2011 1 classification-model 1 caltech-birds 1 activation-maximization 1 sage 1 pdp 1 kernel-thinning 1 goodpoints 1 shapley-interactions 1 julia 1 attribution-methods 1 time-series 1 attribution 1 confidence-estimation 1 lab 1 inseq 1 ferret 1 diagnostic-classifiers 1 ailc 1 large-language-models 1 language-model 1 document-level-nmt 1 feature-interactions 1 text-classification 1 saliency-methods 1 game-theory 1 shapiq 1 chatgpt 1 nmf-decomposition 1 evolutionary-algorithms 1 pytorch-tutorial 1