KEN666-BOY

KEN666-BOY's Stars

• awesomedata/awesome-public-datasets

  A topic-centric list of HQ open datasets.

  61.2k9.9k

• JunkaiCheng/CNC-RUL-Prediction

  It aims to implement a real-time system to monitor the tool condition and predict the Remaining Useful Life (RUL) Computer Numerical Control (CNC) machine tools.

  Language:MATLAB166

• govinda21/Determination_of_Mechanical_tool_RUL

  Determination of Remaining Useful life of Mechanical Tools

  Language:MATLAB31

• EMINJ1995/Finding-remaining-useful-life-of-a-battery-using-particle-filter

  Capacity values of Lithium Ion Battery is used as a prognostic method in order to predict the remaining useful life of Lithium-ion batteries. The state space model for Lithium Ion Battery to access Capacity Degradation is constructed using standard particle filter . Once the state space model is determined, the extrapolations of the state space model to a specific failure threshold are performed to obtain the remaining useful life of the lithium-ion batteries

  Language:MATLAB364

• LeonGuo1988/RemainingUsefulLife

  It is a collection of all kinds of feature extraction and recognition algorithms

  Language:Matlab126

• zhouxf53/Battery-life-estimation

  An neural network based algorithm to predict the remaining useful life of batteries.

  Language:MATLAB409

• LahiruJayasinghe/RUL-Net

  Deep learning approach for estimation of Remaining Useful Life (RUL) of an engine

  Language:Python23471

• alteryx/predict-remaining-useful-life

  Predict remaining useful life of a component based on historical sensor observations using automated feature engineering

  Language:Jupyter Notebook229115

• aqibsaeed/Estimation-of-Remaining-Useful-Life-using-CNN

  Convolutional Neural Network based regression approach for estimating machinery's remaining useful life

  Language:Jupyter Notebook13556

• RULprediction/RUL-prediction

  Prediction of Remaining Useful Life(RUL) for Aircraft Engine Using Neural Network Models

  Language:Jupyter Notebook103

• nicolasoyharcabal/ConvRNN_for_RUL_estimation

  Code used in Thesis "Convolutional Recurrent Neural Networks for Remaining Useful Life Prediction in Mechanical Systems".

  Language:Python8012

• xuzhenqi/cnn

  This is a matlab-code implementation of convolutional neural network

  Language:Matlab9564

• jonzhaocn/GAN_base_on_matconvnet

  Language:Matlab81

• jonzhaocn/exemplar-based-image-inpainting

  Language:MATLAB186

• jonzhaocn/GAN-Base-on-Matlab

  A implementation of GAN in matlab

  Language:MATLAB2911

• GANPerf/GANPerf

  GANPerf is a deep learning with generative adversarial network that can train a software performance prediction model from a limited number of samples and predict the performance value of a new configuration.

  Language:Python51

• iamraymondlow/parking-duration-prediction-gamin

  This repo contains the source code for the paper "Predicting Commercial Vehicle Parking Duration using Generative Adversarial Multiple Imputation Networks"

  Language:Jupyter Notebook2

• jianlin-cheng/GANSS

  Generative Adversarial Network for Protein Secondary Structure Prediction

  Language:Perl1

• SreeramV181/Quantum-Generative-Adversarial-Networks-for-Stock-Price-Prediction

  This project uses the Pennylane library to create quantum variational circuits capable of predicting a stock's price.

  Language:Python72

• lihuiupc/HGAN-TyphoonCloudVisualPrediction

  Typhoon Cloud Prediction, Future Image Generation, Hierarchical Generative Adversarial Networks

  Language:Python106

• carrilloric/CS230

  Generative Adversarial Network for Stock Market Price Prediction

  Language:Jupyter Notebook5528

• ratschlab/RGAN

  Recurrent (conditional) generative adversarial networks for generating real-valued time series data.

  Language:Python639181

• Newmu/dcgan_code

  Deep Convolutional Generative Adversarial Networks

  Language:Python3.4k693

• goodfeli/adversarial

  Code and hyperparameters for the paper "Generative Adversarial Networks"

  Language:Python3.9k1.1k

• eriklindernoren/Keras-GAN

  Keras implementations of Generative Adversarial Networks.

  Language:Python9.2k3.1k

• aodonnell/FDA-Classification-and-PCA-Analysis

  Using Fisher LDA and Principal Components Analysis to evaluate the performance of a Generative Adversarial Network

  Language:Matlab11

• benjnkns/Automatic-Organ-Segmentation

  Automatic organ segmentation from CT scans with the use of generative adversarial neural networks and transfer learning of of existing neural networks.

  Language:Matlab41

• Neil-Shah/GANs-for-Speech-Enhancement

  Generative Adversarial Network implemented for the Time-Frequency based Speech Enhancement

  Language:MATLAB83

• insight-decentralized-consensus-lab/CryptoNote-Blockchain-GAN

  Utilization of generative adversarial networks (GANs) to identify best practices for fungibility-preserving transaction patterns in the Monero ecosystem. (Mitchell Krawiec-Thayer)

  Language:Matlab111

• ycfu/BubGAN

  Bubble Generative Adversarial Networks (BubGAN) Tool for Bubbly Flow Synthesis

  Language:MATLAB194