Alternatives and similar repositories for LSSVMlib

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

• zealberth / lssvr
  Least Squares Support Vector Regression
  ☆58Updated 4 years ago
• RomuloDrumond / LSSVM
  Python implementation of Least Squares Support Vector Machine for classification on CPU (NumPy) and GPU (PyTorch).
  ☆59Updated 2 months ago
• federhub / pyGRNN
  Python implementation of General Regression Neural Network (Nadaraya-Watson Estimator). A Feature Selection module based on GRNN is also …
  ☆76Updated 4 years ago
• DSARG / amorf
  A Multi-Output Regression Framework in Python
  ☆31Updated 4 years ago
• FilippoMB / Ensemble-Conformalized-Quantile-Regression
  Valid and adaptive prediction intervals for probabilistic time series forecasting.
  ☆97Updated 7 months ago
• alext1995 / BayesianChangePointDetection
  Bayesian Changepoint detection implementation applied to a number of examples
  ☆15Updated 5 years ago
• ElsevierSoftwareX / SOFTX_2020_1
  An intuitive library to extract features from time series. To cite this software publication: https://www.sciencedirect.com/science/artic…
  ☆106Updated 5 years ago
• thieu1995 / IntelELM
  IntelELM: A Python Framework for Intelligent Metaheuristic-based Extreme Learning Machine
  ☆17Updated 4 months ago
• jlsuarezdiaz / KELMOR
  A Python Implementation of Kernel Extreme Learning Machine for Ordinal Regression
  ☆25Updated 5 years ago
• B-Analytics / diPLSlib
  Python implementation of domain-invariant partial least squares regression (di-PLS)
  ☆21Updated 5 months ago
• vrcarva / vmdpy
  Variational mode decomposition (VMD) in Python
  ☆399Updated last year
• arkadaw9 / PGNN
  Physics-guided Neural Networks (PGNN) : An Application In Lake Temperature Modelling
  ☆112Updated 4 years ago
• MVRonkin / dsatools
  Digital signal analysis library for python. The library includes such methods of the signal analysis, signal processing and signal parame…
  ☆138Updated 2 years ago
• AbdullahO / mSSA
  Multivariate Singular Spectrum Analysis (mSSA): Forecasting and Imputation algorithm for multivariate time series
  ☆134Updated last year
• gaoruohan / DBN_predict_performance
  graduation design DBN + SVM
  ☆36Updated 6 years ago
• masatakashiwagi / analysis-tslearn
  Clustering using tslearn for Time Series Data.
  ☆49Updated 3 years ago
• PawaritL / BayesianLSTM
  Bayesian LSTM Implementation in PyTorch
  ☆113Updated 2 years ago
• lixixibj / forecasting-with-time-series-imaging
  time series forecasting with image
  ☆47Updated 2 years ago
• ermshaua / time-series-segmentation-benchmark
  This repository contains the time series segmentation benchmark (TSSB).
  ☆77Updated 6 months ago
• thieu1995 / permetrics
  Artificial intelligence (AI, ML, DL) performance metrics implemented in Python
  ☆82Updated last year
• kieferk / pymssa
  Python implementation of Multivariate Singular Spectrum Analysis (MSSA)
  ☆168Updated 6 years ago
• bhaskatripathi / GWOSVR
  Sanitized Grey Wolf Optimizer(SGWO)-Support Vector Regressor (SVR)
  ☆76Updated 3 years ago
• akusok / scikit-elm
  Extreme Learning Machine (ELM) with Scikit-Learn compatibility
  ☆32Updated 7 months ago
• notsebastiano / transfer_entropy
  Transfer Entropy between two time series - Implementation in Python
  ☆47Updated 8 months ago
• kaishxu / qrnn
  QRNN (Quantile Regression Neural Network) Keras version
  ☆25Updated 4 years ago
• vigorfif / Soft-Sensor-Modelling
  Soft sensor modelling using multiple machine learning algorithms
  ☆24Updated 6 years ago
• rsyamil / cnn-regression
  A simple guide to a vanilla CNN for regression, potentially useful for engineering applications.
  ☆48Updated 5 years ago
• aj-cloete / pssa
  Singular Spectrum Analysis for time series forecasting in Python
  ☆147Updated 4 years ago
• lpphd / multivariate-attention-tcn
  ☆98Updated 2 years ago
• tony-psq / QRMGM_KDE
  A probabilistic forecasting method based on Quantile Regression Minimal Gated Memory Network and Kernel Density Estimation.
  ☆21Updated 6 years ago