y-prudent

CertifiedQuantileRegression

SurgVU2024-PhaseDetection

Code for our submission to the MICCAI surgvu24 challenge. We competed in category 2 (action detection)

deel-lip

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

deel-torchlip

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

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

oodeel

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

collaborative_filtering

etudiants-sdd-202021

NEAT-example

y-prudent/collaborative_filtering

y-prudent/etudiants-sdd-202021

y-prudent/NEAT-example