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- 👋 Xplique is a Neural Networks Explainability Toolbox
- Build and train Lipschitz constrained networks: TensorFlow implementation of k-Lipschitz layers
- 👋 Puncc is a python library for predictive uncertainty quantification using conformal prediction.
- Simple, compact, and hackable post-hoc deep OOD detection for already trained tensorflow or pytorch image classifiers.
- Build and train Lipschitz-constrained networks: PyTorch implementation of 1-Lipschitz layers. For TensorFlow/Keras implementation, see https://github.com/deel-ai/deel-lip
- 👋 Influenciae is a Tensorflow Toolbox for Influence Functions
- This repository contains the work of Vuong Nguyen that was conducted during his apprenticeship with the DEEL team. Namely, Vuong conducted several experiments to challenge generative data augmentation techniques from a Fairness perspective. He worked under the supervision of Lucas Hervier and Agustin Picard.
FairSense
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