MaXuelin

AES2016WorkshopMaterials

arl-eegmodels

This is the Army Research Laboratory (ARL) EEGModels Project: A Collection of Convolutional Neural Network (CNN) models for EEG signal classification, using Keras and Tensorflow

braindecode

A deep learning toolbox to decode raw time-domain EEG.

brainDecodingViz

A visualization toolbox for brain decoding combined with DNN

convnet-benchmarks

Easy benchmarking of all publicly accessible implementations of convnets

deeplearning.ai

deeplearning.ai , By Andrew Ng, All slide and notebook + code and some material.

deepViz

Visualization tools for deep convolutional networks

draw_convnet

First_temp

Add the content of the text

Generative-and-Discriminative-Voxel-Modeling

Voxel-Based Variational Autoencoders, VAE GUI, and Convnets for Classification

generative-models

Collection of generative models, e.g. GAN, VAE in Pytorch and Tensorflow.

mygithub

just for test

Python-Tutorial

Python programming skills

seizure-prediction

American Epilepsy Society Seizure's Prediction Challenge Kaggle Competition

siamese-triplet

Siamese and triplet networks with online pair/triplet mining in PyTorch

spdnet

Implementation of Deep SPDNet in pytorch

SPDNet-1

GitHub repository for "A Riemannian Network for SPD Matrix Learning", AAAI 2017.

TCN

Sequence modeling benchmarks and temporal convolutional networks

tensorboardX

tensorboard for pytorch (and chainer, mxnet, numpy, ...)

TH2-demos

演示如何使用天河2号及解决常见问题