348 Open source projects that are alternatives of or similar to Brainflow

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

🔧🧠 MEEGkit: MEG & EEG processing toolkit in Python 🧠🔧

Python machine learning package based on sklearn API for multivariate data processing and statistical analysis of symmetric positive definite matrices via Riemannian geometry

MNE-CPP: A Framework for Electrophysiology

AntroPy: entropy and complexity of (EEG) time-series in Python

python implementations of Analyzing Neural Time Series Textbook

TAPAS - Translational Algorithms for Psychiatry-Advancing Science

Deep Learning with Tensor Flow for EEG MNE Epoch Objects

Example with Cortex V2 API

Blackrock Microsystems Cerebus Link for Neural Signal Processing

A terminal app written in Node.js to monitor brain signals in real-time

Parameterizing neural power spectra into periodic & aperiodic components.

NeuroKit2: The Python Toolbox for Neurophysiological Signal Processing

CS198-96: Intro to Neurotechnology @ UC Berkeley

MNE-BIDS is a Python package that allows you to read and write BIDS-compatible datasets with the help of MNE-Python.

MNE: Magnetoencephalography (MEG) and Electroencephalography (EEG) in Python

A fullstack javascript app for capturing and visualizing OpenBCI EEG data

Mother of All BCI Benchmarks

A Python Toolbox for Statistics and Neurophysiological Signal Processing (EEG, EDA, ECG, EMG...).

Python package for covariance matrices manipulation and Biosignal classification with application in Brain Computer interface

A Collection Python EEG (+ ECG) Analysis Utilities for OpenBCI and Muse

A Node.js library that reads your mind with Emotiv EPOC EEG headset

NEURAL: a neonatal EEG feature set in Matlab

The MATLAB toolbox for MEG, EEG and iEEG analysis

📊 EEG signal processing and machine learning in JavaScript

NMA Computational Neuroscience course

A cross-platform DSP library written in C++ 11/14. This library harnesses the power of C++ templates to implement a complete set of DSP algorithms.

A list of openly available datasets in (mostly human) electrophysiology.

A curated list of free, high-quality, university-level courses with video lectures related to the field of Computer Vision.

An R package for experimental psychologists

A PyTorch implementation of Radio Transformer Networks from the paper "An Introduction to Deep Learning for the Physical Layer".

YASA (Yet Another Spindle Algorithm): a Python package to analyze polysomnographic sleep recordings.

Deep learning for audio processing

Python-based module for extracting from, converting between, and interfacing with many common file formats in extracellular recording.

Continuous- and Discrete-Time Signals and Systems - Theory and Computational Examples

cell detection in calcium imaging recordings

NEURON Simulator

An adblocker for live radio streams and podcasts. Machine learning meets Shazam.

Matlab and Python toolbox for fast Total Variation proximity operators

Connectome Workbench

Platform-independent lightweight Python library for designing and conducting timing-critical behavioural and neuroimaging experiments

This repo summarizes the tutorials, datasets, papers, codes and tools for speech separation and speaker extraction task. You are kindly invited to pull requests.

Python Adaptive Signal Processing

A Python Package for Monitoring Seismic Velocity Changes using Ambient Seismic Noise | http://www.msnoise.org

EPFL summaries & cheatsheets over 5 years (computer science, communication systems, data science and computational neuroscience).

Python package for signal processing, with emphasis on iterative methods

SleepEEGNet: Automated Sleep Stage Scoring with Sequence to Sequence Deep Learning Approach

ERPLAB Toolbox is a free, open-source Matlab package for analyzing ERP data. It is tightly integrated with EEGLAB Toolbox, extending EEGLAB’s capabilities to provide robust, industrial-strength tools for ERP processing, visualization, and analysis. A graphical user interface makes it easy for beginners to learn, and Matlab scripting provides enormous power for intermediate and advanced users.

Core tools required for running Canlab Matlab toolboxes. The heart of this toolbox is object-oriented tools that enable interactive analysis of neuroimaging data and simple scripts using high-level commands tailored to neuroimaging analysis.

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

Collaborative Annotation Toolkit for Massive Amounts of Image Data

A list of tutorials and other resources useful to learn open science and neuroimaging, EEG and MEG

Biologically-realistic recurrent convolutional neural networks

Python + EEG/MEG = PyEEG

Inner ear models for Python

A Python module for continuous wavelet spectral analysis. It includes a collection of routines for wavelet transform and statistical analysis via FFT algorithm. In addition, the module also includes cross-wavelet transforms, wavelet coherence tests and sample scripts.

Uncertainpy: a Python toolbox for uncertainty quantification and sensitivity analysis, tailored towards computational neuroscience.

Sema – Live Code Language Design Playground

feature extraction from speech signals

doing audio digital signal processing in tensorflow to try to recreate digital audio effects