Project for course DD2404. The project focuses on creating a classifier for proteins with signal peptides, using machine learning. Currently, the scripts are based on Convolutional neural networks, but I might implement a GAN and a Hidden Markov Model too.

Designing and training probabilistic graphical models (MATLAB).

🗣 Java Speech Engine

POS Tagging using Hidden Markov Model

PinYin2HanZi

Automatic Response Generation to Conversational Stimuli

some papers about automatic speech recognition

Artificial Intelligence - DD2380 @ KTH Royal Institute of Technology (2015)

This project follows a baseline & benchmark methodology to define the Named Entity Recognition task with classical machine learning.

HMM protein domain prediction

HMMER-based microcin search using full microcin sequences and double-glycine signal region.

HMM classifier with tensforflow framework

基于维特比算法写的一个分词的小程序

实现HMM模型

Trainer for manifold-valued Hidden Markov Models