gexinh Goto Github PK

academic-kickstart

📝 Easily create a beautiful website using Academic, Hugo, and Netlify

bpgt

Biological-knowledge Enhanced Multi-label Classification for Genetic Mutation from WSIs

deepo

A series of Docker images (and their generator) that allows you to quickly set up your deep learning research environment.

diff-brain

Diffusion model for brain image analysis

eeg_decoding

Early Version for the EEG decoding: utilizing the VAE with Filter Bank Common Spatial Filter features to decode the EEG signals pattern.

eegdenoisenet

EEGdenoiseNet, a benchmark dataset, that is suited for training and testing deep learning-based EEG denoising models, as well as for comparing the performance across different models.

esi-dae

esibfp

Electromagnetic Source Imaging utilized the Bayesian factor model with a fMRI-based prior modeling. REstrictive Maximum Likelihood was used to optimize the parameters. Notes: This is an incomplete version due to the confidential agreement.

gexinh.github.io

handson-ml

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.

learning_research

本人的科研经验

matlab_practice

this repository aims to familiar fundamental operation of Matlab.

ml-vae

Multi-modal learning for joint prediction of EEG-fMRI via the fusion of deep generative model and probabilistic model. The code will be incomplete until the paper published.

mnist-em-bmm-gmm

MNIST handwritten digits clustering using a Bernoulli Mixture Model and a Gaussian Mixture Model

naive-bayes-with-mnist

the homework of Pattern Recognition with MATLAB

nips14-ssl

Code for reproducing results of NIPS 2014 paper "Semi-Supervised Learning with Deep Generative Models"

randomvectorwithfixedsum

Python implementation of the random vector with fixed sum.

samples-for-ai

Samples for getting started with deep learning across TensorFlow, CNTK, Theano and more.

www20-hands-on-tutorial

Materials for DGL hands-on tutorial in WWW 2020

zhusuan

A Library for Bayesian Deep Learning, Generative Models, Based on Tensorflow