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- Build and train Lipschitz constrained networks: TensorFlow implementation of k-Lipschitz layers
oodeel
PublicSimple, 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
puncc
Public👋 Puncc is a python library for predictive uncertainty quantification using conformal prediction.uq-masterclass
PublicThis repository contains the notebooks and related materials for the master class "Uncertainty Quantification".- 👋 Xplique is a Neural Networks Explainability Toolbox
influenciae
Public👋 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.
Craft
PublicFairSense
Publicdeel_dataset_manager
Publicrelu-prime
Publichijacking-acas
Public