unknownhl

Adversarial-example-paper

automated-interpretability

deep-learning-uncertainty

Literature survey, paper reviews, experimental setups and a collection of implementations for baselines methods for predictive uncertainty estimation in deep learning models.

feature-entropy

Feature entropy gives the quantification of importance degree of individual units in CNNs

neuralcollapse

Code reproducing Neural Collapse phenomenon on MSE and cross-entropy loss

POT

POT : Python Optimal Transport

Testing-Zoo