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asd_mne_pipe

bridgeworld-autosimulator

bridgeworld-bot-public

c-pac

Configurable Pipeline for the Analysis of Connectomes

ct_trajectory_features_asd_2019

Age-related changes in Cortical Thickness in Autism

deeplabcut

Markerless pose estimation of user-defined features with deep learning for all animals, including humans

deeplearningfortimeseriesforecasting

A tutorial demonstrating how to implement deep learning models for time series forecasting

deeptrade

A LSTM model using Risk Estimation loss function for stock trades in market

discordalertstrader

fieldtrip

The MATLAB toolbox for MEG, EEG and iEEG analysis

fingers-detection-using-opencv-and-python

A simple Fingers Detection (or Gesture Recognition) using OpenCV and Python with background substraction 简单手势识别

handtracking

Building a Real-time Hand-Detector using Neural Networks (SSD) on Tensorflow

hmm

Hidden Markov Model for MEG

hmm-mar

Toolbox for segmentation and characterisation of transient connectivity

inceptiontime

InceptionTime: Finding AlexNet for Time Series Classification

learnopencv

Learn OpenCV : C++ and Python Examples

lstm_stock

I used LSTM to predict the price of a stock and then developed a strategy to buy or sell.

machine-learning-with-python

Practice and tutorial-style notebooks covering wide variety of machine learning techniques

martinos_reading_group

mask_rcnn

Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow

meeter_code

code for meeter paper

mne-python

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

mne-study-template

Template for a group study using the MNE Python software

multisource_beamformer

Multiple Constrained Minimum Variance (MCMV) beamformer

neurobooth-os

openpose

OpenPose: Real-time multi-person keypoint detection library for body, face, hands, and foot estimation

pyls

A Python implementation of Partial Least Squares (PLS) decomposition

pytorch-timeseries

PyTorch implementations of neural networks for timeseries classification

sensory_pac

MATLAB scripts for detecting and validating phase amplitude coupling (PAC) in electrophysiological data

stock-performance-predictor-2.0

Stock Fundamental Analysis using Machine Learning Classification Models