zlg0124

zlg0124's Stars

• Snailclimb/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！

  Language:Java147k4.5k1.1k45.7k

• microsoftarchive/redis

  Redis is an in-memory database that persists on disk. The data model is key-value, but many different kind of values are supported: Strings, Lists, Sets, Sorted Sets, Hashes

  Language:C20.9k1.4k5815.4k

• yangzongzhuan/RuoYi-Vue

  :tada: (RuoYi)官方仓库 基于SpringBoot，Spring Security，JWT，Vue & Element 的前后端分离权限管理系统，同时提供了 Vue3 的版本

  Language:Java2.4k34401.3k

• zhao62/Deep-Residual-Shrinkage-Networks

  The deep residual shrinkage network is a variant of deep residual networks.

  Language:Python469516109

• zhaoxingfeng/RandomForest

  随机森林，Random Forest（RF）

  Language:Python374814136

• Albertsr/Anomaly-Detection

  UnSupervised and Semi-Supervise Anomaly Detection / IsolationForest / KernelPCA Detection / ADOA / etc.

  Language:Python2939689

• liguge/Deep-Residual-Shrinkage-Networks-for-intelligent-fault-diagnosis-DRSN-

  Deep Residual Shrinkage Networks for Intelligent Fault Diagnosis（pytorch） 深度残差收缩网络应用于故障诊断

  Language:Python2081830

• HazeDT/WaveletKernelNet

  This is the code for WaveletKernelNet.

  Language:Python1131829

• Wuito/Estimation-of-residual-life-of-particle-filter-lithium-ion-battery

  Using particle filtering algorithm to estimate the residual life of lithium ion batteries, the university of Maryland public data set is used. Preprocessing using the python logarithm. The particle filter contains python and matlab. The relevant packets are uploaded together.

  Language:Python27205

• palVikram/Machine-Learning-using-Python

  Regression, Classification and Clustering

  Language:Python204019

• AnmolTomer/ml_bootcamp_udemy

  Jupyter Notebooks for the Course Python for Data Science and Machine Learning Bootcamp by Jose Portilla on Udemy.

  Language:Jupyter Notebook14229

• gopala-kr/notebooks

  A collection of practical handson jupyter notebooks on bigdata/ml/dl/rl/cv/nlp/ds/scipy/viz-lib/various command lines

  Language:Jupyter Notebook134018

• Ehzusnii/DRSN-for-seismic-damage-assessment

  We propose a novel deep learning framework DRSNet (deep residual shrinkage network) with an embedded soft-threshold denoising scheme for seismic signal denoising and seismic damage assessment.

  Language:Jupyter Notebook10202

• cjj535/FedVAE

  采用VAE模型实现网络流量异常检测，并结合联邦学习与蒸馏学习

  Language:Python9121

• n-jokic/estimation_algorithms

  Implementation of followinf estimation algorithms in python: Kalman Filter, Extended Kalman Filter, Unscented Kalman Filter, Cubature Kalman Filter, Rao-Blackwellized Particle Filter, Cubature Kalman Filter

  Language:Python8103

• antoineluu/tsf-models

  Integrated module for timeseries preprocessing and forecasting | Pytorch implementation of SotA models (N-HiTS, TCN, Residual LSTM) | Hyperparameter tuning with Optuna | ONNX exportation and inference

  Language:Python7202

• Christopher-bit/tcn_tool_wear

  Real time tool wear monitoring method based on a TCN model for PHM-2010 Dataset.

  Language:Python7100

• XiaoyingGong/LOF

  This a python implementation of local outlier factor

  Language:Python7200

• nicola144/optimized_auxiliary_particle_filters

  Code for experiments with OAPF (Optimized Auxiliary Particle Filter) used for my MSc Dissertation at the University of Edinburgh

  Language:Python5100

• rajatrai16921/Remaining-User-Life-Prediction-Using-NASA-Milling-Dataset

  Remaining User Life Prediction Using NASA Milling Dataset

  Language:Jupyter Notebook5101

• wwz456/QIT-CEMC-dataset

  A open source dataset about milling to monitoring tool wear status

  Language:Python4101

• rmrichardson88/ToolWearDeepLearningRegressor

  Deep Learning Models to Predict Tool Wear - Baseline model = CNN. Refined model adds Attention mechanism and smooths prediction curves.

  Language:Jupyter Notebook310

• Jarrycow/toolWear

  Pattern recognition in industry

  Language:Python210

• Shyamal-Dharia/vision-transformers

  This repository is for Vision Transformer (ViT) models for Image and Time Series Classification

  Language:Python2201

• aditj/TutorialOnKalmanFilters

  Tutorial on Particle and Kalman Filters using Importance Sampling in Python for Digital Signal Processing

  Language:Jupyter Notebook110

• alibulutb/Regression-Algorithms-in-Machine-Learning

  This repository contains different machine learning regression algorithms based on different data. All notebooks include Data Preparation (data fetch, filling missing values, feature engineering), Exploratory Data Analysis (using various visualization techniques), Pre-Processing, Building a Machine Learning Model, Model Evaluation.

  Language:Jupyter Notebook1101

• KatKentr/ParticleFiltering

  particle filtering algorithm for a dynamic bayesian network with two state variables and one observation variable

  Language:Python1

• mozafae1/Particle-Filtering

  Language:Python1100

• yplusplus/LOF

  Language:Python1100

• zlg0124/Opensource_Dataset_Compilation_for_PHM

  分享的所有数据集均为开源的PHM（Prognostics and Health Management）数据，涵盖故障诊断、健康评估和寿命预测等领域。

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