jasmainak

lazypredict

Lazy Predict help build a lot of basic models without much code and helps understand which models works better without any parameter tuning

eralchemy

Entity Relation Diagrams generation tool

nflows

Normalizing flows in PyTorch

handwritingBCI

Code from the paper "High-Performance Brain-to-Text Communication via Handwriting"

inputs

Cross-platform Python support for keyboards, mice and gamepads

familytreemaker

Generates a family tree graph from a simple text file

NiChord

Package for visualizing brain networks. Creates chord diagrams drawn using matplotlib

img_pipe

Image processing pipeline for ECoG data

openneuro-py

A client for accessing OpenNeuro datasets, written in Python.

hnn-core

Simulation and optimization of neural circuits for MEG/EEG source estimates

ApproximateConvolutionalSparseCoding

An implementation of approximate convolutional sparse coding (CSC) based on paper: https://arxiv.org/abs/1711.00328

CSCNet

Code for the paper "Rethinking the CSC Model for Natural Images"

fiss

FireCloud Service Selector (FISS) -- Python bindings and CLI for FireCloud execution engine

neuron_reduce

pyknos

conditional density estimation with neural networks

jupyter-require

Jupyter nbextension for JavaScript execution and AMD dependency management.

somata

State-space Oscillator Modeling And Time-series Analysis (SOMATA) is a Python library for state-space neural signal processing algorithms developed in the Purdon Lab.

meggie

User-friendly MNE-python based graphical user interface to do MEG and EEG analysis with multiple subjects

seek

(Stereotatic ElectroEncephalography Kit) Run reconstruction, co-registration, electrode localization and surface/atlas rendering for iEEG, T1 MRI and CT data.

HNPE

Repository with the code of "HNPE: Leveraging Global Parameters for Neural Posterior Estimation"

neurobooth-os

Python package for digital phenotyping data synchronization and acquisition

BetaEvents

script for detecting beta events in the prestimulus TFR

mne-dash

Remote visualization for mne tools

EEG_MEG_Base_Package_041920

OPyM

OPM data in MNE-Python

beta_bursts

beta_bursts.m: function for identifying beta-frequency bursts in a single EEG/MEG time course (could be a single channel or ICA component or ROI). slide_wins.m/burst_rate.m: functions to compute beta burst rate in sliding time windows relative to specified events

kybonet

Software KM switch. Share keyboard and mouse over the network with encryption =)

notebooks

Machine Learning Experiments on SquashAI datasets

squashai

Teaching Computers the Beauty of Squash - Website Source

jupyter-shot

Quickly share screenshots of Jupyter notebook cells.