ZiyangS

BackgroundSubtraction

Background subtraction algorithm by Gaussian Mixture Model based on paper "Adaptive background mixture models for real-time tracking".

IGMM

infinite Gaussian Mixture Model(Dirichlet Process Gaussian Mixture Model) by gibbs sampling. Multivaraite Gaussian with full covariance and diagonal covariance.

IAGM_BS

Background subtraction algorithm by Infinite Aysmmetrical Gaussian Mixture Model (IAGMM)

IAGM

Infinite Asymmetric Gaussian Mixture Model

AutoencoderPCA

compare PCA/autoencoder/convolutional autoencoder algorithm

Gaussian_Mixture_Model

implement gaussian mixture model by using em algorithm in python, later working on gibbs sampling etc MCMC algorithm.

IAGM_feature_selection

Infinite Asymmetric Gaussian Mixture with feature selection. Adopt MCMC to do Bayesian inference.

MachineLearning

Algorithms of machine learning or deep learning

MedEHR

Course Project

MixEHR_Seed

NLP_LM

language models for NLP corpora data

Traffic_pollution_forecsting

Variational-Inference-with-Normalizing-Flows

Personal implementation of "Variational Inference with Normalizing Flows" by [Rezende, et al., 2015] in PyTorch