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bayesianoptimization

A Python implementation of global optimization with gaussian processes.

braindecode

Deep learning software to decode EEG, ECG or MEG signals

brainflow

BrainFlow is a library intended to obtain, parse and analyze EEG, EMG, ECG and other kinds of data from biosensors

ca_source_extraction

Complete Matlab pipeline for large scale calcium imaging data analysis

caiman

Computational toolbox for large scale Calcium Imaging Analysis, including movie handling, motion correction, source extraction, spike deconvolution and result visualization.

cnmf_e

Constrained Nonnegative Matrix Factorization for microEndoscopic data

components-of-an-ml-system

covid-19

Novel Coronavirus (COVID-19) Cases, provided by JHU CSSE

dvs_emg_fusion

eeg-datasets

A list of all public EEG-datasets

eeglearn

A set of functions for supervised feature learning/classification of mental states from EEG based on "EEG images" idea.

epileptic-seizure-detection

hipps-dimes

Maximum Entropy Based HI-C/Distance Map - Polymer Physics - Structures Method

mclust-loading-engine-for-plexon

Matlab based 'Loading Engine' for MClust spike sorting software to read '.plx' files acquired by Plexon system.

motion_energy_matlab

nestedsampling-python

Apply the Nested Sampling Monte Carlo algorithm to fit exoplanet radial velocity data and estimate the posterior distribution of the model parameters

neural_decoding

A python package that includes many methods for decoding neural activity

nlb_tools

Python tools for participating in Neural Latents Benchmark '21

optimization-toolkit

pml-book

"Probabilistic Machine Learning" - a book series by Kevin Murphy

pmtk3

Probabilistic Modeling Toolkit for Matlab/Octave.

poisson-mixture-model-estimation

Estimate the number of states or components in data generated by Poisson mixture model using Bayesian model selection and Nested Sampling

prediction-of-stock-prices---dash-app

pymaxent

pyprobml

Python code for "Machine learning: a probabilistic perspective"

python-neo

Neo is a package for representing electrophysiology data in Python, together with support for reading a wide range of neurophysiology file formats

research-aml-elliptic

spikes

spike extraction from calcium signals (Deneux et al., 2016)

sps

Official code for the Stochastic Polyak step-size optimizer

step-vs-ramp

Characterize neuronal firing rate dynamic (in LIP) with Bayesian model selection