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advent_of_code_2022

auditing-dpsgd

Code for Auditing DPSGD

caffe-tensorflow

Caffe models in TensorFlow

deep_restoration

MSc AI Thesis

differentially-private-mean-embeddings-with-random-features-for-synthetic-data-generation

dlc2016

Some code for the UvA Deep Learning course (quality varies)

dp-llm

dp-mepf

TMLR2023

dp-merf

dp-sinkhorn

ektelo

forsythia

Forsythia fractal

frhrdr.github.io

generative_audio

MSc AI Project on generative deep networks and neural style transfer for audio

lukasiewicz-cores

Bachelor Thesis in the field of Neural Symbolic Integration

mmd-gan

Improving MMD-GAN training with repulsive loss function

models

Models and examples built with TensorFlow

patepy

A simple wrapper for the PATE analysis for Differential Privacy by Papernot, Song et al.

pixeldp

privacy

Library for training machine learning models with privacy for training data

private-pgm

An implementation of the tools described in the paper entitled "Graphical-model based estimation and inference for differential privacy"

schmeepee-schmepf

tf_alexnet

A TensorFlow implementation of AlexNet with pretrained weights

tf_vgg

VGG19 and VGG16 on Tensorflow

vrnn

MSc AI project on variational recurrent networks by J. Chung et al.