Alternatives and similar repositories for elm

Users that are interested in elm are comparing it to the libraries listed below

• MVRonkin / dsatools
  Digital signal analysis library for python. The library includes such methods of the signal analysis, signal processing and signal parame…
  ☆141Updated 2 years ago
• bhaskatripathi / GWOSVR
  Sanitized Grey Wolf Optimizer(SGWO)-Support Vector Regressor (SVR)
  ☆78Updated 3 years ago
• matlab-deep-learning / transformer-networks-for-time-series-prediction
  Deep Learning in Quantitative Finance: Transformer Networks for Time Series Prediction
  ☆60Updated 2 years ago
• matlab-deep-learning / Industrial-Machinery-Anomaly-Detection
  Extract features and detect anomalies in industrial machinery vibration data using a biLSTM autoencoder
  ☆51Updated 4 years ago
• matlab-deep-learning / Fault-Detection-Using-Deep-Learning-Classification
  This demo shows how to prepare, model, and deploy a deep learning LSTM based classification algorithm to identify the condition or output…
  ☆84Updated 3 years ago
• jlsuarezdiaz / KELMOR
  A Python Implementation of Kernel Extreme Learning Machine for Ordinal Regression
  ☆25Updated 5 years ago
• ashishpatel26 / PSO-TF2
  PSO On neural Network and LSTM
  ☆19Updated 4 years ago
• tianyagk / PyEMD
  经验模态分解 (Empirical Mode Decomposition)
  ☆57Updated 5 years ago
• vrcarva / ewtpy
  Empirical wavelet transform (EWT) in Python
  ☆97Updated 5 years ago
• ashishpatel26 / tcn-keras-Examples
  This repository contains example of keras-tcn on easy way.
  ☆57Updated 5 years ago
• XinweiJiang / VMD
  variational mode decomposition and its variants
  ☆68Updated 5 years ago
• iqiukp / RVM-MATLAB
  MATLAB code for Relevance Vector Machine using SB2_Release_200.
  ☆56Updated 3 years ago
• masatakashiwagi / analysis-tslearn
  Clustering using tslearn for Time Series Data.
  ☆49Updated 3 years ago
• shenmusmart / VMD_python
  Variational Mode Decomposition for Python
  ☆62Updated 5 years ago
• M73ACat / SGMD
  A simple program to implement the Symplectic geometry mode decomposition (SGMD), including python and matlab versions.
  ☆27Updated 2 years ago
• lixixibj / forecasting-with-time-series-imaging
  time series forecasting with image
  ☆47Updated 2 years ago
• vrcarva / vmdpy
  Variational mode decomposition (VMD) in Python
  ☆408Updated last year
• imamcs19 / Improve-Deep-Learning-With-PSO-For-Classification
  Improve Deep Learning based CNN & Extreme Learning Machine With Particle Swarm Optimization (Deep PSO) For Classification
  ☆20Updated 2 years ago
• chendaichao / Hilbert-Huang-transform
  A demo of using Hilbert-Huang Transform (HHT) for non-stationary and non-linear signal analysis.
  ☆110Updated 4 years ago
• ELSHCH / LSTM_Predict_Matlab
  LSTM model for advanced prediction of variations in climate data
  ☆22Updated 3 years ago
• Bmajor98 / emd
  Python implementations of empirical mode decomposition as well as EEMD and CEEMD variants.
  ☆29Updated 5 years ago
• aysunrhn / Adaptive-Soft-Sensor-Design
  Github repo for the research paper titled "Integrating Adaptive Moving Window and Just-in-Time Learning Paradigms for Soft-Sensor Design"
  ☆20Updated 5 years ago
• menon92 / WaveletCNN
  Wavelet CNN, Texture Classification in Keras
  ☆54Updated 3 years ago
• sarikayamehmet / cnn-bilstm-attention
  Multivariate Time Series Prediction using Keras (CNN BiLSTM Attention)
  ☆98Updated 5 years ago
• HirojiSawatari / EEMD-Project
  This is a MATLAB project which can calculate EMD/EEMD
  ☆89Updated 8 years ago
• Corezcy / EEMD-LSTM-DO-Prediction
  EEMD、LSTM、time series prediction、DO、Deep Learning
  ☆90Updated 4 years ago
• zhaoyizhaoyi / icdm_wavelet_attention
  combine wavelet transform and attention mechanism for time series forecasting or classification
  ☆29Updated 7 years ago
• UalwaysKnow / time-series-prediction-with-gan
  stock forecasting with sentiment variables(with lstm as generator and mlp as discriminator)
  ☆36Updated 6 years ago
• zhangxu0307 / time-series-forecasting-keras
  time series forecasting using keras, inlcuding LSTM,RNN,MLP,GRU,SVR and multi-lag training and forecasting method, ICONIP2017 paper.
  ☆119Updated 6 years ago
• sydney-machine-learning / deeplearning_timeseries
  Evaluation of shallow and deep learning models for multi-step-ahead time series prediction
  ☆64Updated 4 years ago