Alternatives and similar repositories for KELMOR

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

• leferrad / pyoselm
  A Python implementation of Online Sequential Extreme Machine Learning (OS-ELM) for online machine learning
  ☆41Updated last month
• tony-psq / QRMGM_KDE
  A probabilistic forecasting method based on Quantile Regression Minimal Gated Memory Network and Kernel Density Estimation.
  ☆20Updated 6 years ago
• ivivan / SSIM_Seq2Seq
  SSIM - A Deep Learning Approach for Recovering Missing Time Series Sensor Data
  ☆40Updated 4 years ago
• yakouyang / Multilevel_Wavelet_Decomposition_Network_Pytorch
  This project is the pytorch implementation version of Multilevel Wavelet Decomposition Network.
  ☆100Updated 6 years ago
• SophiaWJ / Transfer-learning
  Transfer Knowledge Learned from Multiple Domains for Time-series Data Prediction
  ☆11Updated 7 years ago
• LiYouru0228 / EA-LSTM
  EA-LSTM: Evolutionary Attention-based LSTM for Time Series Prediction
  ☆39Updated 6 years ago
• bzantium / EA-LSTM
  EA-LSTM: Evolutionary attention-based LSTM for time series prediction
  ☆40Updated 5 years ago
• yeguo419 / DAE_impute
  Time series missing data imputation with Temporal Convolutional Denoising Autoencoder
  ☆18Updated last year
• thieu1995 / IntelELM
  IntelELM: A Python Framework for Intelligent Metaheuristic-based Extreme Learning Machine
  ☆17Updated 4 months ago
• shiluqiang / WLSSVM_python
  Weighted LSSVM for regression
  ☆38Updated 6 years ago
• gaoruohan / DBN_predict_performance
  graduation design DBN + SVM
  ☆36Updated 6 years ago
• fishjh2 / prediction-interval-NN
  Confidence and prediction intervals for feedforward NNs and RNNs
  ☆27Updated 7 years ago
• vhrique / ELT
  Ensemble Learning Toolbox
  ☆17Updated 5 years ago
• bala-221 / Airplane-fault-prediction
  This repository is a collection of codes generated for optimizing the echo state network for RUL prediction of airplane engines
  ☆11Updated 4 years ago
• devjwsong / lstm-bayesian-optimization-pytorch
  Bayesian Optimization implementation for text classifiction
  ☆23Updated last year
• vigorfif / Soft-Sensor-Modelling
  Soft sensor modelling using multiple machine learning algorithms
  ☆24Updated 6 years ago
• jinmang2 / LSTM-SAE
  Pytorch Implementation of LSTM-SAE(Long Short Term Memory - Stacked AutoEncoder)
  ☆25Updated last year
• zealberth / lssvr
  Least Squares Support Vector Regression
  ☆58Updated 4 years ago
• hkaneko1985 / adaptive_soft_sensors
  Adaptive Soft Sensors
  ☆19Updated 6 years ago
• HamedAzami / mvMDE
  Multivariate Multiscale Dispersion Entropy of Biomedical Times Series
  ☆19Updated 3 years ago
• M73ACat / SGMD
  A simple program to implement the Symplectic geometry mode decomposition (SGMD), including python and matlab versions.
  ☆26Updated 2 years ago
• mitre7 / ngboost_pv_forecasting
  An interpretable probabilistic model for short-term solar power forecasting using natural gradient boosting
  ☆15Updated 4 years ago
• lu-zhao / EMD_LSTM
  ☆31Updated 6 years ago
• BinhangYuan / WaveletFCNN
  Source code and dataset for the paper ""
  ☆30Updated 5 years ago
• kaishxu / qrnn
  QRNN (Quantile Regression Neural Network) Keras version
  ☆25Updated 4 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
• archity / synthetic-data-gan
  Experimenting with generating synthetic data using ydata-synthetic
  ☆36Updated 4 years ago
• KevinHooah / BayesianLSTM-for-Time-series-Prediction
  Bayesian LSTM for time-series prediction.
  ☆20Updated 5 years ago
• getBolted / LoadPredicting
  ARIMA, DBN,FFNN,GBRT,LSTM,RFR,SEQ2SEQ,SVR,XGBOOST
  ☆22Updated 6 years ago
• lpphd / multivariate-attention-tcn
  ☆98Updated 2 years ago