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ae_ts

Auto encoder for time series

algorithms

Minimal examples of data structures and algorithms in Python

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

bpl

Bayesian Program Learning model for one-shot learning

braindecode

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

cakechat

CakeChat: Emotional Generative Dialog System

cayman

Cayman is a Jekyll theme for GitHub Pages

celeba-spoof

[ECCV2020] A Large-Scale Face Anti-Spoofing Dataset

char-rnn

Multi-layer Recurrent Neural Networks (LSTM, GRU, RNN) for character-level language models in Torch

cong

Continuous-Time Games for Experimental Economics.

datasciencecoursera

datasharing

The Leek group guide to data sharing

datastructureandalgorithmicthinkingwithpython

Data Structure And Algorithmic Thinking With Python

deepcca

An implementation of Deep Canonical Correlation Analysis (DCCA or Deep CCA) with pytorch.

deepeeg

Deep Learning with Tensor Flow for EEG MNE Epoch Objects

deeplearning-nlp

Introduction to Deep Learning for Natural Language Processing

dl4nlp

Deep Learning for NLP resources

dlvc2017ws

dlvcnptel

Tutorials for DLVC NPTEL MOOC

dnnwsp

Deep neural network (DNN) with weight sparsity control (i.e., L1-norm regularization) improved the classification performance using whole-brain resting-state functional connectivity patterns of schizophrenia patient and healthy groups.

dyconnmap

A dynamic connectome mapping module in python.

e-mail-author-identification

Implemented a model, using a Hierarchical-LSTM based approach combined with stylometric features, that identifies authors of e-mails taken from the famous ENRON dataset.

eeg-classification

This project was a joint effort with the neurology labs at UNL and UCD Anschutz to use deep learning to classify EEG data.

eeg-classification-based-on-neural-network

eeg-classification-using-recurrent-neural-network

Used LSTM Network to classify eeg signals based on stimuli the subject recieved (visual or audio)

eeg-consumer-intent-prediction

eeg-datasets

A list of all public EEG-datasets

eeg-emotion-classification

eeg-emotion-recognition

EEG data processing and it's convolution using AutoEncoder + CNN + RNN

eeg-explanation-model

Classification and Explanation Model of Brain Signal based on Deep Learning Model