ZHEN MA's repositories
Bearing_LSTMPrognostics
This repository contains parts of code for the publication "Ensembles of Probabilistic LSTM Predictors and Correctors for Bearing Prognostics Using Industrial Standards" by Nemani et al. in Neurocomputing
Informer2020
The GitHub repository for the paper "Informer" accepted by AAAI 2021.
java-books-collections
:books:Java编程书籍收集分享。Java programming books collection to share.:rocket:
Journals-for-Prognostics-and-Health-Management
智能故障诊断和寿命预测期刊（Intelligent Fault Diagnosis and Remaining Useful Life）
Python_Predict_Analysis_Algorithm_Book_Codes
《Python预测之美：数据分析与算法实战》书籍代码维护
Transformer_for_time_series
Transformer for time series forecasting; 2021 Summer
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尚医通
-0001
Using knowledge-informed machine learning on the PRONOSTIA (FEMTO) and IMS bearing data sets. Predict remaining-useful-life (RUL).
BatteryMachineLearning
Machine learning based Lithium-Ion battery capacity estimation using multi-Channel charging Profiles
code-of-learn-deep-learning-with-pytorch
This is code of book "Learn Deep Learning with PyTorch"
CS-Books
🔥🔥超过1000本的计算机经典书籍、个人笔记资料以及本人在各平台发表文章中所涉及的资源等。书籍资源包括C/C++、Java、Python、Go语言、数据结构与算法、操作系统、后端架构、计算机系统知识、数据库、计算机网络、设计模式、前端、汇编以及校招社招各种面经~
Deep-Time-Series-Prediction
Seq2Seq, Bert, Transformer, WaveNet for time series prediction.
free-programming-books-zh_CN
:books: 免费的计算机编程类中文书籍，欢迎投稿
Java-
:books: 技术面试必备基础知识、Leetcode、计算机操作系统、计算机网络、系统设计
Java-Tutorial
【Java工程师面试复习指南】本仓库涵盖大部分Java程序员所需要掌握的核心知识，整合了互联网上的很多优质Java技术文章，力求打造为最完整最实用的Java开发者学习指南，如果对你有帮助，给个star告诉我吧，谢谢！
JavaGuide
「Java学习+面试指南」一份涵盖大部分 Java 程序员所需要掌握的核心知识。准备 Java 面试，首选 JavaGuide！
编程电子书，电子书，编程书籍，包括C，C#，Docker，Elasticsearch，Git，Hadoop，HeadFirst，Java，Javascript，jvm，Kafka，Linux，Maven，MongoDB，MyBatis，MySQL，Netty，Nginx，Python，RabbitMQ，Redis，Scala，Solr，Spark，Spring，SpringBoot，SpringCloud，TCPIP，Tomcat，Zookeeper，人工智能，大数据类，并发编程，数据库类，数据挖掘，新面试题，架构设计，算法系列，计算机类，设计模式，软件测试，重构优化，等更多分类
pulolb
Predicting Usable Lifetime of Lithium Ion Batteries
PyPHM
Datasets specific to Prognostics and Health Management. Easily download and prepare the data before feature engineering or model training.
PyTorch-Transformer-for-RUL-Prediction
Transformer implementation with PyTorch for remaining useful life prediction on turbofan engine with NASA CMAPSS data set. Inspired by Mo, Y., Wu, Q., Li, X., & Huang, B. (2021). Remaining useful life estimation via transformer encoder enhanced by a gated convolutional unit. Journal of Intelligent Manufacturing, 1-10.
pytorch-tutorial
PyTorch Tutorial for Deep Learning Researchers
Rotating-machine-fault-data-set
Open rotating mechanical fault datasets (开源旋转机械故障数据集整理)
RUL
Transformer Network for Remaining Useful Life Prediction of Lithium-Ion Batteries
RUL_Inception-Attention
Remaining useful life prediction by Transformer-based Model
Stock-Prediction-usning-Transformer-NN
Stock Prediction usning Transformer NN
StockPrediction
Hobby project in time series analysis with stock market data by comparing different methods for time series prediction, including ARIMA, SARIMAX, LSTM, and transformer.
transformer-time-series-prediction
proof of concept for a transformer-based time series prediction model