liufengbrain

graph_nn

Graph Classification with Graph Convolutional Networks in PyTorch (NeurIPS 2018 Workshop)

dsaa_2020_tutorial_code_public

EEG-Datasets

A list of all public EEG-datasets

dreem-learning-open

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

Two-level-Attention-for-Arrhythmia-Detection

modl

MoDL: Model-Based Deep Learning Architecture for Inverse Problems

dreem-learning-evaluation

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

MICCAI20_MMDL_PUBLIC

Public repo for the MICCAI 2020 paper "Toward Rapid Stroke Diagnosis with Multimodal Deep Learning".

HCC-deep-learning

HCC_Deep_learning

awesome-monte-carlo-tree-search-papers

A curated list of Monte Carlo tree search papers with implementations.

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

notes

Course notes

personal-academic-website

A skeleton-site for a personal academic website, written in Jekyll for hosting with GitHub Pages.

stat479-deep-learning-ss19

Course material for STAT 479: Deep Learning (SS 2019) at University Wisconsin-Madison

EEG-based-emotion-analysis-using-DEAP-dataset-for-Supervised-Machine-Learning

This project is for classification of emotions using EEG signals recorded in the DEAP dataset to achieve high accuracy score using machine learning algorithms such as Support vector machine and K - Nearest Neighbor.

PRMLT

Matlab code for machine learning algorithms in book PRML

eeg_meg_analysis

MATLAB code for methods developed to analyse EEG/MEG data

onsager_deep_learning

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

bayesgan

Tensorflow code for the Bayesian GAN (https://arxiv.org/abs/1705.09558) (NIPS 2017)

Coursera-ML-AndrewNg-Notes

cheatsheets-ai

Essential Cheat Sheets for deep learning and machine learning researchers

Neural_Decoding

A python package that includes many methods for decoding neural activity

ThinkStats2

Text and supporting code for Think Stats, 2nd Edition

data-science-from-scratch

code for Data Science From Scratch book

awesome-machine-learning

A curated list of awesome Machine Learning frameworks, libraries and software.

BuildingMachineLearningSystemsWithPython

Source Code for the book Building Machine Learning Systems with Python

Big-Data-Resources

:boom:大数据/数据挖掘/推荐系统/机器学习相关资源