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b12-electronic-prognostic

batterydatasetimplementation

Implementation of a model that predicts the SoH of batteries using the NASA Battery Dataset

blogclient

blogserver

bugspots

Implementation of simple bug prediction hotspot heuristic

capstoneproject

christinabi.github.io

A personal website project

cola

🥤 COLA: Clean Object-oriented & Layered Architecture

cola-cloud

Cola Cloud 基于 Spring Boot, Spring Cloud 构建微服务架构企业级开发平台，集成OAuth2认证、集成短信验证码登录、微信小程序登录、FlyWay数据库版本管理、网关集成Swagger聚合所有服务API文档。基于SpringBootAdmin集成Hystrix、Turbine监控。开发用户中心、权限管理、组织架构、数据字典、消息中心、通知中心等模块。基于MyBatisPlus Generator 开发代码生成器

deep-learning-for-time-series-forecasting

This repository is designed to teach you, step-by-step, how to develop deep learning methods for time series forecasting with concrete and executable examples in Python.

deeplearntoolbox

Matlab/Octave toolbox for deep learning. Includes Deep Belief Nets, Stacked Autoencoders, Convolutional Neural Nets, Convolutional Autoencoders and vanilla Neural Nets. Each method has examples to get you started.

electric-vehicle-battery-range-prediction

Predict remaining useful lifetime of an electric car accurately to help drive owner satisfaction and future purchases. This solution comprises analyzing the vast quantity of telemetry data over time and building a Machine Learning model to predict the remaining useful life(RUL) of an electric vehicles EVs at each point in time of the operation of said vehicle. The customer is the largest automotive manufacturing company in India, by market share. The customer designs, builds, and delivers electric vehicles (EVs).

hanlp

中文分词 词性标注 命名实体识别 依存句法分析 成分句法分析 语义依存分析 语义角色标注 指代消解 风格转换 语义相似度 新词发现 关键词短语提取 自动摘要 文本分类聚类 拼音简繁转换 自然语言处理

java

All Algorithms implemented in Java

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！

learngit

leetcode

LeetCode Solutions: A Record of My Problem Solving Journey.( leetcode题解，记录自己的leetcode解题之路。)

lithium-ion-battery-degradation-analysis-using-lstm

The understanding of the aging mechanism is crucial to predict the state-of-health of lithium-ion batteries (LIBs), a LIBs is developed to investigate the evolution of internal parameters, and a degradation model which can be used for predicting the calendar life of the battery is developed.

mayuxiang.github.io

mygit

ntu-hsuantienlin-machinelearning

pcgen

Main code and data development for pcgen program release

pdf2htmlex

Convert PDF to HTML without losing text or format.

phm-qingdao

参加PHM2019青岛的会议，把一些感触和看到的文章放进来

pmtk3

Probabilistic Modeling Toolkit for Matlab/Octave.

pmtksupport

Various packages used by PMTK.

python-100-days

Python - 100天从新手到大师

reading-sicp

《计算机程序的构造和解释》(SICP) 解题集

ros_21_tutorials

《古月 · ROS入门21讲》课件&源码

rul

Transformer Network for Remaining Useful Life Prediction of Lithium-Ion Batteries