High-performance, scalable time-series database designed for Industrial IoT (IIoT) scenarios

This is the source code for the neuromics project.

Rapidly build AI apps in Python

Deploy and scale serverless machine learning app - in 4 steps.

tracking medical datasets, with a focus on medical imaging

AI Toolkit for Healthcare Imaging

Medical Imaging Deep Learning library to train and deploy 3D segmentation models on Azure Machine Learning

A simple UI for forwarding ports over SSH

Synchronized Batch Normalization implementation in PyTorch.

ICAM: Interpretable Classification via Disentangled Representations and Feature Attribution Mapping

Must-read papers on graph neural networks (GNN)

A mix of GAN implementations including progressive growing

Model interpretability and understanding for PyTorch

A curated list of awesome responsible machine learning resources.

A list of tutorials and other resources useful to learn open science and neuroimaging, EEG and MEG

This is a mirror. Feel free to use the issue tracker. PRs welcome.

Understanding Deep Networks via Extremal Perturbations and Smooth Masks

A ShuffleBatchNorm layer to shuffle BatchNorm statistics across multiple GPUs

3D U-Net model for volumetric semantic segmentation written in pytorch

Jupyter metapackage for installation and documentation

Machine learning for NeuroImaging in Python

A curated list of awesome JupyterLab extensions and resources

LaTeX template for an Oxford University thesis

Efficient Global Point-cloud registration