👋 Xplique is a Neural Networks Explainability Toolbox

A runway dataset and a generator of synthetic aerial images with automatic labeling.

Simple, compact, and hackable post-hoc deep OOD detection for already trained tensorflow or pytorch image classifiers.

👋 Influenciae is a Tensorflow Toolbox for Influence Functions

Build and train Lipschitz-constrained networks: PyTorch implementation of 1-Lipschitz layers. For TensorFlow/Keras implementation, see https://github.com/deel-ai/deel-lip

Lipdp leverages Lipchitz constraints to train differentially private networks without clipping.

👋 Puncc is a python library for predictive uncertainty quantification using conformal prediction.

Build and train Lipschitz constrained networks: TensorFlow implementation of k-Lipschitz layers

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.

👋 Code for : "CRAFT: Concept Recursive Activation FacTorization for Explainability" (CVPR 2023)