rauswarn

AE_ts

Auto encoder for time series

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

Exploratory-Decision-Making-in-Losses-vs-Gains

MVPA

braindecode

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

cakechat

CakeChat: Emotional Generative Dialog System

CelebA-Spoof

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

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

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.

EEG_classification

EEG Sleep stage classification using CNN with Keras

eegsynth

Converting real-time EEG into sounds, music and visual effects

emokit

Open source driver for accessing raw data from the Emotiv EPOC EEG headset

entropy

EntroPy: complexity of (EEG) time-series in Python

FIMPAS-fMRI-Multi-Variate-Pattern-Analysis

freesurfer

The official FreeSurfer repository maintained by LCN

HPC-Summer-School-July2019

MiBand2

Library to work with Xiaomi MiBand 2

MULAN

A systematic framework for functional connectivity measures

NLP-Fall-2019

project-website-template

A HTML/CSS Template for Building Projects or Personal Websites

PyEEGLab

Analyze and manipulate EEG data using PyEEGLab.

pyro

Deep universal probabilistic programming with Python and PyTorch

pytorch-transformers-classification

Based on the Pytorch-Transformers library by HuggingFace. To be used as a starting point for employing Transformer models in text classification tasks. Contains code to easily train BERT, XLNet, RoBERTa, and XLM models for text classification.

rauswarn.github.io

Shakespearizing-Modern-English

Code for "Jhamtani H.*, Gangal V.*, Hovy E. and Nyberg E. Shakespearizing Modern Language Using Copy-Enriched Sequence to Sequence Models" Workshop on Stylistic Variation, EMNLP 2017

tf_EEGLearn

A tensorflow implementation for EEGLearn

umap

Uniform Manifold Approximation and Projection