Brainchop: In-browser 3D MRI rendering and segmentation

Basic implementation of BERT and Transformer in Pytorch in one short python file (also includes "predict next word" GPT task)

EasyTorch is a research-oriented pytorch prototyping framework with a straightforward learning curve. It is highly robust and contains almost everything needed to perform any state-of-the-art exper…

Seed based and seed-free graph de-anonymization.

Wrapper for COINSTAC computations.

Distributed Neural Network implementation on COINSTAC.

Real-time, open-source simulation of transparent objects for deep learning applications

Covid 19 analysis from 6k images from cloud factory.

Collaborative Informatics and Neuroimaging Suite Toolkit for Anonymous Computation

This repository contains a PyTorch implementation of MeshNet architecture. MeshNet is a volumetric convolutional neural network for image segmentation (focused on brain imaging application) based o…

Simulate Anamorphic lens flares in software.

Advanced Deep Medical Image Reconstruction

Undergrad final year project to predict diseases given any text symptoms.

pytorch implementation of paper https://www.frontiersin.org/articles/10.3389/fcomp.2020.00035/full

Created with StackBlitz ⚡️

An example of easytorch implementation on retinal vessel segmentation.

Retrieve author and publication information from Google Scholar in a friendly, Pythonic way without having to worry about CAPTCHAs!

Experiments for understanding disentanglement in VAE latent representations

Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more

Java Tutorial For Beginners with 500 Code Examples

Lifelong/Continual Learning Paper List

PyTorch Tutorial for Deep Learning Researchers