Max Kapsecker's starred repositories
PlotNeuralNet
Latex code for making neural networks diagrams
probability
Probabilistic reasoning and statistical analysis in TensorFlow
tensorflow_macos
TensorFlow for macOS 11.0+ accelerated using Apple's ML Compute framework.
differential-privacy
Google's differential privacy libraries.
benchmark_VAE
Unifying Variational Autoencoder (VAE) implementations in Pytorch (NeurIPS 2022)
disentanglement_lib
disentanglement_lib is an open-source library for research on learning disentangled representations.
Neural-Network-Architecture-Diagrams
Diagrams for visualizing neural network architecture (Created with diagrams.net)
hash-prospector
Automated integer hash function discovery
bdl-benchmarks
Bayesian Deep Learning Benchmarks
ml_privacy_meter
Privacy Meter: An open-source library to audit data privacy in statistical and machine learning algorithms.
awesome-ml-privacy-attacks
An awesome list of papers on privacy attacks against machine learning
pixel-rnn-tensorflow
in progress
polar-ble-sdk
Repository includes SDK and code examples. More info https://polar.com/en/developers
beta-tcvae
code for "Isolating Sources of Disentanglement in Variational Autoencoders".
beta-TCVAE
Tensorflow 2.x implementation of the beta-TCVAE (arXiv:1802.04942).