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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