Alternatives and similar repositories for lssvr

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

• tony-psq / QRMGM_KDE
  A probabilistic forecasting method based on Quantile Regression Minimal Gated Memory Network and Kernel Density Estimation.
  ☆20Updated 5 years ago
• RomuloDrumond / LSSVM
  Python implementation of Least Squares Support Vector Machine for classification on CPU (NumPy) and GPU (PyTorch).
  ☆57Updated last year
• shiluqiang / WLSSVM_python
  Weighted LSSVM for regression
  ☆38Updated 6 years ago
• DannyVanpoucke / LSSVMlib
  This repository provides a Python3 Library with implementations of the Least-Squares Support Vector Machine (LS-SVM) machine learning mo…
  ☆40Updated 3 years ago
• lpphd / multivariate-attention-tcn
  ☆95Updated 2 years ago
• fishjh2 / prediction-interval-NN
  Confidence and prediction intervals for feedforward NNs and RNNs
  ☆27Updated 6 years ago
• kaishxu / qrnn
  QRNN (Quantile Regression Neural Network) Keras version
  ☆24Updated 4 years ago
• gaoruohan / DBN_predict_performance
  graduation design DBN + SVM
  ☆35Updated 6 years ago
• leferrad / pyoselm
  A Python implementation of Online Sequential Extreme Machine Learning (OS-ELM) for online machine learning
  ☆40Updated 9 months ago
• jlsuarezdiaz / KELMOR
  A Python Implementation of Kernel Extreme Learning Machine for Ordinal Regression
  ☆25Updated 4 years ago
• Cui-F / GA_LSTM
  ☆15Updated 4 years ago
• EnowshWong / Multi-step_Multivariate_Time_Series_Prediction
  ☆18Updated 6 years ago
• masaponto / Python-ELM
  Extreme learning machine implemented by python3 with scikit-learn interface
  ☆48Updated 5 years ago
• RamanSinghca / PSO-Based-SVR
  PSO-Based-SVR to forecast potential delay time of bus arrival. Applied on City of Edmonton real data.
  ☆42Updated 8 years ago
• anmoltigga / GA-LSTM
  Python notebook implementation of hyperparameter tuning of LSTM deep learning model using Genetic algorithm
  ☆20Updated 3 years ago
• t170815518 / BroadLearningSystemFrame
  This is a Python package for Broad Learning System.
  ☆17Updated 4 years ago
• mehak25 / BiGAN
  ☆13Updated 3 years ago
• zzdzzdzzdzzd / QRMGM_KDE
  A probabilistic forecasting method based on Quantile Regression Minimal Gated Memory Network and Kernel Density Estimation.
  ☆4Updated 5 years ago
• kaelzhang / DA-RNN-in-Tensorflow-2-and-PyTorch
  A Tensorflow 2 (Keras) implementation of DA-RNN (A Dual-Stage Attention-Based Recurrent Neural Network for Time Series Prediction, arXiv:…
  ☆31Updated last year
• raemonx / PSO-FS
  Wrapper Based feature selection using Particle Swarm Optimization
  ☆12Updated 5 years ago
• flaviagiammarino / deep-tcn-tensorflow
  TensorFlow implementation of DeepTCN model for probabilistic time series forecasting with temporal convolutional networks.
  ☆40Updated last year
• chenfei0328 / mWDN-RCF
  Multilevel Wavelet Decomposition Network for Interpretable Time Series Analysis
  ☆32Updated 5 years ago
• Corezcy / EEMD-LSTM-DO-Prediction
  EEMD、LSTM、time series prediction、DO、Deep Learning
  ☆86Updated 3 years ago
• shiluqiang / PSO_python
  PSO algorithm for multi-parameters optimizaiton
  ☆66Updated 6 years ago
• jinmang2 / LSTM-SAE
  Pytorch Implementation of LSTM-SAE(Long Short Term Memory - Stacked AutoEncoder)
  ☆24Updated 7 months ago
• bhaskatripathi / GWOSVR
  Sanitized Grey Wolf Optimizer(SGWO)-Support Vector Regressor (SVR)
  ☆75Updated 2 years ago
• bzantium / EA-LSTM
  EA-LSTM: Evolutionary attention-based LSTM for time series prediction
  ☆37Updated 5 years ago
• LiYouru0228 / EA-LSTM
  EA-LSTM: Evolutionary Attention-based LSTM for Time Series Prediction
  ☆38Updated 6 years ago
• devjwsong / lstm-bayesian-optimization-pytorch
  Bayesian Optimization implementation for text classifiction
  ☆23Updated 9 months ago
• vivamoto / classifier
  Machine learning code, derivatives calculation and optimization algorithms developed during the Machine Learning course at Universidade d…
  ☆15Updated 4 years ago