Lean certificates accompanying Navier-Stokes and Euler results

🍺 The Package Manager for Everywhere

🍻 Default and OSS formulae (built-from-source packages) for the package manager for everywhere

Visualise your Kedro data and machine-learning pipelines and track your experiments.

The fast version of DeLong's method for computing the covariance of unadjusted AUC.

Load common open-source electrocardiogram databases as a tensorflow dataset

Data science interview questions and answers

Repository includes SDK and code examples. More info https://polar.com/en/developers

Swift library for the R-Peak detection in single-lead electrocardiogram signals

Flower - A Friendly Federated Learning Framework

An extension of Flower towards Swift.

Representational Learning of Single-Lead Electrocardiogram Signals using Beta-TCVAE

Sample application to demonstrate the functionality of PeakSwift

Tensorflow 2.x implementation of the beta-TCVAE (arXiv:1802.04942).

disentanglement_lib is an open-source library for research on learning disentangled representations.

code for "Isolating Sources of Disentanglement in Variational Autoencoders".

Flower: A Friendly Federated AI Framework

Assessment of Electrocardiogram Beat Detectors Using Synthetic and Real-World Data

Unifying Variational Autoencoder (VAE) implementations in Pytorch (NeurIPS 2022)

c(ognition k)eyboard to record typing metrics on an iOS device

Secure Aggregation Framework for mobile Health Applications

An awesome list of papers on privacy attacks against machine learning

Latex code for making neural networks diagrams

Diagrams for visualizing neural network architecture

Openmined-based realistic FL framework for wearables

Privacy Meter: An open-source library to audit data privacy in statistical and machine learning algorithms.

Google's differential privacy libraries.