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GitHub / mateoespinosa / cem
Repository for our NeurIPS 2022 paper "Concept Embedding Models: Beyond the Accuracy-Explainability Trade-Off" and our NeurIPS 2023 paper "Learning to Receive Help: Intervention-Aware Concept Embedding Models"
JSON API: https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/mateoespinosa%2Fcem
Stars: 40
Forks: 12
Open Issues: 0
License: mit
Language: Python
Repo Size: 15.9 MB
Dependencies:
38
Created: over 1 year ago
Updated: 19 days ago
Last pushed: 19 days ago
Last synced: 19 days ago
Topics: artificial-intelligence, concept, concept-based-explanations, concept-based-models, concept-interventions, concepts, deep-learning, explainability, explainable-ai, interpretability, interventions, neural-networks, pytorch, xai
Files
Dependencies
- importlib-metadata >=4.8.2
- importlib-resources >=5.4.0
- ipykernel >=6.5.0
- ipython >=7.29.0
- ipython-genutils >=0.2.0
- ipywidgets >=7.6.5
- joblib >=1.1.0
- matplotlib >=3.5.0
- matplotlib-inline >=0.1.3
- notebook >=6.4.5
- numpy >=1.19.5
- pytorch-lightning ==1.5.8
- scikit-learn >=1.0.1
- scikit-learn-extra >=0.2.0
- seaborn >=0.11.2
- sklearn >=0.0
- torch >=1.11.0
- torchmetrics >=0.6.2
- torchvision >=0.12.0
- importlib-metadata >=4.8.2
- importlib-resources >=5.4.0
- ipykernel >=6.5.0
- ipython >=7.29.0
- ipython-genutils >=0.2.0
- ipywidgets >=7.6.5
- joblib >=1.1.0
- matplotlib >=3.5.0
- matplotlib-inline >=0.1.3
- notebook >=6.4.5
- numpy >=1.19.5
- pytorch-lightning ==1.5.8
- scikit-learn >=1.0.1
- scikit-learn-extra >=0.2.0
- seaborn >=0.11.2
- sklearn >=0.0
- torch >=1.11.0
- torchmetrics >=0.6.2
- torchvision >=0.12.0