zekun-jack-xu Goto Github PK

data-science-question-answer

A repo for data science related questions and answers

datasciencepython

common data analysis and machine learning tasks using python

glssm

Gaussian linear state space model

gmmhmm_asr

gmmhmm for asr

hands-on-nltk-tutorial

The hands-on NLTK tutorial for NLP in Python

hmms

Continuous-time Hidden Markov Model

latent_state_model_precision_medicine

lightgbm

A fast, distributed, high performance gradient boosting (GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks. It is under the umbrella of the DMTK(http://github.com/microsoft/dmtk) project of Microsoft.

ml-from-scratch

Machine Learning From Scratch. Bare bones Python implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from data mining to deep learning.

pytorch-tutorial

PyTorch Tutorial for Deep Learning Researchers

pytorch-tutorial-1

Build your neural network easy and fast

r_apps

rarhsmm

R package for regularized autoregressive hidden semi-Markov model

reinforcement-learning-an-introduction

Python implementation of Reinforcement Learning: An Introduction

statistical_signal_quality

Statistical framework for heart rate signal quality

tensorflow

Computation using data flow graphs for scalable machine learning

tensorflow_cookbook

Code for Tensorflow Machine Learning Cookbook

wavegan

WaveGAN: using GANs to synthesize raw audio

xgboost

Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Flink and DataFlow

zekun-jack-xu.github.io

My Github Page

ziphsmm

R package for zero-inflated Poisson hidden semi-Markov model