liufengbrain

SPRiNT

Code for simulating neural time series, spectrogram parameterization (using SPRiNT), and generating figures from the SPRiNT preprint

cannabis-classifier

Code that accompanies chronic cannabis classifier and network analysis. Recently published at Biological Psychiatry: CNNI.

nsf-proposal-latex-samples

LaTeX samples for NSF Research.gov Proposal Submission. For more information about Research.gov Proposal Submission visit https://www.research.gov/research-web/content/aboutpsm Feedback syee@nsf.gov

Multi-modal-Multi-instance-Learning

scientific-visualization-book

An open access book on scientific visualization using python and matplotlib

DeepLearning

maui

.NET MAUI is the .NET Multi-platform App UI, a framework for building native device applications spanning mobile, tablet, and desktop.

Lhy_Machine_Learning

李宏毅2021/2022/2023春季机器学习课程课件及作业

modl

MoDL: Model-Based Deep Learning Architecture for Inverse Problems

python-machine-learning-book

The "Python Machine Learning (1st edition)" book code repository and info resource

Machine_Learning_Code_Implementation

Mathematical derivation and pure Python code implementation of machine learning algorithms.

HFOs-Identification-Imaging

This repository contains the source codes and sample data of the project High-frequency Oscillations Identification and Imaging.

beamformer_examples

Deep-Learning-for-BCI

Resources for Book: Deep Learning for EEG-based Brain-Computer Interface: Representations, Algorithms and Applications

VGG16

A PyTorch implementation of VGG16. This could be considered as a variant of the original VGG16 since BN layers are added after each conv. layer

medical-data

MDL

Detecting Product Adoption Intention via Multi-View Deep Learning

SleepEEGNet

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

EEG-BayesianCNN

This is an EEG Signals Classification based on Bayesian Convolutional Neural Network (Bayesian CNNs) via Variational Inference.

EEG-Transient-State

Codes for Transient state analysis in EEG

dreem-learning-open

Benchmark code for the paper: "Dreem Open Datasets: Multi-Scored Sleep Datasets to compare Human and Automated sleep staging"

dreem-learning-evaluation

Code to reproduce results from the paper "Dreem Open Datasets: Multi-Scored Sleep Datasets to compare Human and Automated sleep staging"

Pro-GNN

Implementation of the KDD 2020 paper "Graph Structure Learning for Robust Graph Neural Networks"

OneNet

onsager_deep_learning

Code to accompany the paper "AMP-Inspired Deep Networks for Sparse Linear Inverse Problems"

CyKITv2

Python Data Controller for Neural EEG headsets. (Windows + Linux)

ml4h

CyKit

Python 3x server to deliver neural EEG data to browser and generic clients via TCP stream.

GNNPapers

Must-read papers on graph neural networks (GNN)

Multitask-Learning

Awesome Multitask Learning Resources