andrefmsmith

openbci-ceegrids

Documentation for Reproducing & Using the OpenBCI cEEGrid Adapter

explorations-book

Exploration explorables.

vit-pytorch

Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch

sktime

A unified framework for machine learning with time series

svoice

We provide a PyTorch implementation of the paper Voice Separation with an Unknown Number of Multiple Speakers In which, we present a new method for separating a mixed audio sequence, in which multiple voices speak simultaneously. The new method employs gated neural networks that are trained to separate the voices at multiple processing steps, while maintaining the speaker in each output channel fixed. A different model is trained for every number of possible speakers, and the model with the largest number of speakers is employed to select the actual number of speakers in a given sample. Our method greatly outperforms the current state of the art, which, as we show, is not competitive for more than two speakers.

muzero-general

MuZero

Error-perception-classification-in-BCI-using-CNN

This work aims to classify the occurrence of a feedback error, i.e., the perception of an error by a user interacting with a Brain-Computer Interface (BCI). To achieve that, Convolutional Neural Network (CNN) models are developed.

jeelizPupillometry

Real-time pupillometry in the web browser using a 4K webcam video feed processed by this WebGL/Javascript library. 2 demo experiments are included.

Seq2seqChatbots

A wrapper around tensor2tensor to flexibly train, interact, and generate data for neural chatbots.

Flower2

EEG Viz

mml-book.github.io

Companion webpage to the book "Mathematics For Machine Learning"

GP-RNN_UAI2019

Implementaion of Gaussian Process Recurrent Neural Networks developed in "Neural Dynamics Discovery via Gaussian Process Recurrent Neural Networks", Qi She, Anqi Wu, UAI2019

Kilosort

Fast spike sorting with drift correction for up to a thousand channels

lfads_fork

Fork of LFADS code adapted for easier setup. Original: https://github.com/lfads/models/blob/master/research/lfads/README.md

affinewarp

An implementation of piecewise linear time warping for multi-dimensional time series alignment

hackathons

Jupyter notebooks from our weekly (or so) hackathons

SindyAutoencoders

pysindy

A package for the sparse identification of nonlinear dynamical systems from data

Case-Studies-Python

An introduction to the practicing neuroscientist to data analysis in Python

norse

Deep learning with spiking neural networks (SNNs) in PyTorch.

EEG-Datasets

A list of all public EEG-datasets

paper-reviewer-matcher

Linear programming solver for paper-reviewer matching and mind-matching

x-amber

fooof

Parameterizing neural power spectra into periodic & aperiodic components.

SpectralCA

Spectral Component Analysis for separating noise and structure in neural data

EISlope

Analysis code used to create figures in Gao et al., 2017

COGS118C

COGS118C [Neural Signal Processing] @ UCSanDiego

neurodsp

Digital signal processing for neural time series.

Analyzing_Neural_Time_Series

python implementations of Analyzing Neural Time Series Textbook

AnalyzingNeuralTimeSeries

Code for ANTS book (Cohen, 2012, MIT Press)