hdy-daniel Goto Github PK

aircraft_engine_predictvie_maintenance

Aircraft Engine Failure Prediction using LSTM and Boosted Tree Regression.

bearing-fault-diagnosis

domain adaption with LSGAN for bearing fault diagnosis

bnn

Bayesian Neural Network in PyTorch

cs-recovery-algorithms

hdp

Python code for HDP(Hierarchical Dirichlet Process) using Direct Assignment

hdphmm_lib

This code is a part of my PhD dissertation and includes a C++ implementation of Hierarchical Dirichlet Process Hidden Markov Model or HDPHMM(Fox et al.,2011) and Doubly Hierarchical Dirichlet Process Hidden markov model or DHDPHMM (Harati et al.,2014,2015,2016). It also can be used to implement DPM and HDP. For more details about DHDPHMM look at: http://ieeexplore.ieee.org/xpl/login.jsp?tp=&arnumber=7328698&url=http%3A%2F%2Fieeexplore.ieee.org%2Fxpls%2Fabs_all.jsp%3Farnumber%3D7328698

linux

Endless patches to upstream Linux

omnianomaly

prognosticsalgorithmlibrary

pumpkin-book

《机器学习》（西瓜书）公式推导解析，在线阅读地址：https://datawhalechina.github.io/pumpkin-book

remaining-useful-life-prediction-rnn

Remaining Useful Life Prediction Using RNN/LSTM/GRU Neural Networks

rotating-machine-fault-data-set

Open rotating mechanical fault datasets (开源旋转机械故障数据集整理)

spacex-api

:rocket: Open Source REST API for rocket, core, capsule, pad, and launch data

statistical-learning-method_code

手写实现李航《统计学习方法》书中全部算法

sticky-hdphmm-demo

Sticky hierarchical Dirichlet process hidden Markov model for time series denoising

sticky_hdp-hmm

My understanding of the Sticky Hierarchical Dirichlet process hidden Markov model (HDP-HMM)