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DEEL

Dependable, Certifiable & Explainable Artificial Intelligence for Critical Systems

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  1. xplique xplique Public

    đź‘‹ Xplique is a Neural Networks Explainability Toolbox

    Python 669 56

  2. puncc puncc Public

    đź‘‹ Puncc is a python library for predictive uncertainty quantification using conformal prediction.

    Python 313 16

  3. LARD LARD Public

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

    Jupyter Notebook 97 8

  4. deel-lip deel-lip Public

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

    Python 94 10

  5. Craft Craft Public

    đź‘‹ Code for : "CRAFT: Concept Recursive Activation FacTorization for Explainability" (CVPR 2023)

    Jupyter Notebook 62 6

  6. influenciae influenciae Public

    đź‘‹ Influenciae is a Tensorflow Toolbox for Influence Functions

    Python 59 4

Repositories

Showing 10 of 15 repositories
  • oodeel Public

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

    Python 56 MIT 2 13 1 Updated Feb 28, 2025
  • deel-torchlip Public

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

    Python 28 MIT 2 1 0 Updated Feb 25, 2025
  • deel-lip Public

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

    Python 94 MIT 10 3 2 Updated Feb 13, 2025
  • LARD Public

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

    Jupyter Notebook 97 MIT 8 1 2 Updated Jan 28, 2025
  • puncc Public

    đź‘‹ Puncc is a python library for predictive uncertainty quantification using conformal prediction.

    Python 313 16 4 0 Updated Jan 10, 2025
  • uq-masterclass Public

    This repository contains the notebooks and related materials for the master class "Uncertainty Quantification".

    Jupyter Notebook 7 0 0 0 Updated Dec 5, 2024
  • xplique Public

    đź‘‹ Xplique is a Neural Networks Explainability Toolbox

    Python 669 56 7 (1 issue needs help) 3 Updated Oct 8, 2024
  • influenciae Public

    đź‘‹ Influenciae is a Tensorflow Toolbox for Influence Functions

    Python 59 4 9 0 Updated Apr 18, 2024
  • lipdp Public

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

    Jupyter Notebook 6 MIT 0 0 0 Updated Mar 20, 2024
  • deel-with-augmentation Public

    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.

    Jupyter Notebook 0 0 0 0 Updated Jan 31, 2024