Proof-of-concept implementation for the paper "Homomorphic Encryption for Large Integers from Nested Residue Number Systems", presented at Crypto 2025. https://eprint.iacr.org/2025/346

A repository containing interesting demos / failure cases of ChatGPT

Programmable Neural Network Compression

Distributed adaptive octree construction, 2:1 balancing & partitioning based on space filling curves

Official codes: Self-Supervised Learning by Estimating Twin Class Distribution

Example notebooks demonstrating how to use Clara Train to build Medical Imaging Deep Learning models

Low-Interaction Privacy-Preserving Deep Learning via Function Secret Sharing

Library for compressed numerical arrays that support high throughput read and write random access

Compressed numerical arrays that support high-speed random access

An easy to use PyTorch to TensorRT converter

This repos. contains simulation codes for joint learning and compression for big datasets

MUSCO: MUlti-Stage COmpression of neural networks

Material for my Caltech tutorial on deep learning and tensor methods

PyTorch implementation of [1412.6553] and [1511.06530] tensor decomposition methods for convolutional layers.

Model compression by constrained optimization, using the Learning-Compression (LC) algorithm

Tensor methods in Python with TensorLy

Tensor Network Learning with PyTorch

Pytorch implementation of SSV: Self-Supervised Viewpoint Learning from Image Collections (CVPR 2020)

A short tutorial on implementing Canonical Polyadic (CP) tensor decomposition in Python

Code for “Discrimination-aware-Channel-Pruning-for-Deep-Neural-Networks”

TensorLy: Tensor Learning in Python.

TRADES (TRadeoff-inspired Adversarial DEfense via Surrogate-loss minimization)

FLOPs and other statistics COunter for Pytorch neural networks

Simple Training and Deployment of Fast End-to-End Binary Networks

Code for the Paper 'On the Connection Between Adversarial Robustness and Saliency Map Interpretability' by C. Etmann, S. Lunz, P. Maass, C.-B. Schönlieb

A smaller subset of 10 easily classified classes from Imagenet, and a little more French

We are building an open database of COVID-19 cases with chest X-ray or CT images.

Attributing predictions made by the Inception network using the Integrated Gradients method