Graph Classification with Graph Convolutional Networks in PyTorch (NeurIPS 2018 Workshop)

A list of all public EEG-datasets

Benchmark code for the paper: "Dreem Open Datasets: Multi-Scored Sleep Datasets to compare Human and Automated sleep staging"

MoDL: Model-Based Deep Learning Architecture for Inverse Problems

Code to reproduce results from the paper "Dreem Open Datasets: Multi-Scored Sleep Datasets to compare Human and Automated sleep staging"

Public repo for the MICCAI 2020 paper "Toward Rapid Stroke Diagnosis with Multimodal Deep Learning".

HCC_Deep_learning

A curated list of Monte Carlo tree search papers with implementations.

A PyTorch implementation of VGG16. This could be considered as a variant of the original VGG16 since BN layers are added after each conv. layer

Course notes

A skeleton-site for a personal academic website, written in Jekyll for hosting with GitHub Pages.

Course material for STAT 479: Deep Learning (SS 2019) at University Wisconsin-Madison

This project is for classification of emotions using EEG signals recorded in the DEAP dataset to achieve high accuracy score using machine learning algorithms such as Support vector machine and K -…

Matlab code for machine learning algorithms in book PRML

MATLAB code for methods developed to analyse EEG/MEG data

Code to accompany the paper "AMP-Inspired Deep Networks for Sparse Linear Inverse Problems"

Tensorflow code for the Bayesian GAN (https://arxiv.org/abs/1705.09558) (NIPS 2017)

Essential Cheat Sheets for deep learning and machine learning researchers

A python package that includes many methods for decoding neural activity

Text and supporting code for Think Stats, 2nd Edition

code for Data Science From Scratch book

A curated list of awesome Machine Learning frameworks, libraries and software.

Source Code for the book Building Machine Learning Systems with Python

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