azz-hakim

azz-hakim's Stars

• sylvaincom/astride

  [EUSIPCO 2024] Python implementation of "ASTRIDE: Adaptive Symbolization for Time Series Databases"

  Language:Jupyter Notebook143

• PJalgotrader/ML-USU-SP21

  ECN 5090- Machine Learning in Economics and Finance (Python)

  Language:HTML76112

• MBKraus/Predicting_real_estate_prices_using_scikit-learn

  Predicting Amsterdam house / real estate prices using Ordinary Least Squares-, XGBoost-, KNN-, Lasso-, Ridge-, Polynomial-, Random Forest-, and Neural Network MLP Regression (via scikit-learn)

  Language:Python15752

• prm10/GL_fault_detection

  firsttime

  Language:Matlab32

• prm10/deep-learning

  try to use deep learning in blast furnace fault diagnosis

  Language:Matlab31

• Anushka-24/Fault-detection-in-an-industrial-process

  Language:MATLAB1

• Maramhamid/Fault-detection-in-industrial-process

  The aim of this project is to locate industrial faults early enough so that steps can be taken to prevent system failure.

  Language:MATLAB3

• HaleyChu/Process_Monitoring

  An integrated software package for Industrial process monitoring and fault detection

  Language:MATLAB1210

• sylvaincom/anomaly-detection-PCA

  Anomaly detection on a production line using principal component analysis (PCA) and kernel principal component analysis (KPCA) *from scratch*.

  Language:MATLAB61

• 0515912/Kernel-Principal-Component-Analysis-KPCA

  KPCA for dimensionality reduction, feature extraction , fault detection, and fault diagnosis

  1

• iqiukp/KPCA-MATLAB

  MATLAB code for dimensionality reduction, feature extraction, fault detection, and fault diagnosis using Kernel Principal Component Analysis (KPCA).

  Language:MATLAB23880

• 31LouXiaXiaoHei/Kernel-Principal-Component-Analysis-KPCA

  KPCA for dimensionality reduction, feature extraction , fault detection, and fault diagnosis

  1

• ahmetcecen/MultiPolyRegress-MatlabCentral

  Multivariate Polynomial Regression

  Language:MATLAB3010

• HuangJiaLian/visualizeNN

  A collection of Latex (tikz) code to Visualize Neural Network

  Language:TeX5

• antonvladyka/neuralnetworksanddeeplearning.com.pdf

  LaTeX/PDF + Epub version of the online book (http://neuralnetworksanddeeplearning.com) ”Neural Networks and Deep Learning“ by Michael Nielsen (@mnielsen)

  Language:TeX26980

• cserajdeep/Binary_Parallel_LaTeX_Plot_01

  TIKZ Block Diagram Example for Binary Parallel flow.

  Language:TeX1

• cserajdeep/Ternary_Parallel_LaTeX_Plot_02

  TIKZ Block Diagram Example for Ternary Parallel flow.

  Language:TeX1

• ParticleFilter101/PAPER2

  This repository contains the MATLAB codes for the time-series prediction using (i) MMSE forecast of ARIMA models (ii) Kalman filter approach (iii)Artificial neural networks. The codes for the wavelet version of the above techniques is also presented here.

  Language:MATLAB1811

• huypn12/forex-prediction

  Forex as timeseries prediction, comparing ARIMA/VAR and LSTM

  Language:MATLAB92

• shawnq8861/Machine-Learning-Matlab

  Implementations of Matlab scripts that perform principal components analysis, supervised learning, neural network prediction, and unsupervised clustering.

  Language:Matlab1

• mrabouille/SA_MATLAB

  Some sensitivity analysis codes for matlab

  Language:Matlab1