Alternatives and similar repositories for IDPSO-ELM-S

Users that are interested in IDPSO-ELM-S 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
  ☆42Updated 3 weeks ago
• Kirito-E2D / Federated-learning-based-prediction
  use federated learning to predict building energy consumption
  ☆16Updated 4 years ago
• SophiaWJ / Transfer-learning
  Transfer Knowledge Learned from Multiple Domains for Time-series Data Prediction
  ☆12Updated 7 years ago
• gk5894 / Time-series-forecasting-using-transformers
  ☆14Updated 6 years ago
• bundasmanu / CNNOptimization
  Using Particle Swarm Optimization (PSO) to Optimize a CNN (Convulsional Neural Network) - using an simple dataset (not using an image dat…
  ☆42Updated 3 years ago
• fishjh2 / prediction-interval-NN
  Confidence and prediction intervals for feedforward NNs and RNNs
  ☆27Updated 7 years ago
• jlsuarezdiaz / KELMOR
  A Python Implementation of Kernel Extreme Learning Machine for Ordinal Regression
  ☆25Updated 5 years ago
• mitre7 / ngboost_pv_forecasting
  An interpretable probabilistic model for short-term solar power forecasting using natural gradient boosting
  ☆15Updated 4 years ago
• ru0nan / Queuing-system-optimization
  GA，PSO，LSTM...
  ☆26Updated 7 years ago
• ZongSingHuang / Binary-Whale-Optimization-Algorithm
  Tawhid, M.A., Ibrahim, A.M. Feature selection based on rough set approach, wrapper approach, and binary whale optimization algorithm. Int…
  ☆15Updated 4 years ago
• zhz17 / pytorch_pso_lstm_timeseries
  ☆17Updated 3 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 9 years ago
• LiYouru0228 / EA-LSTM
  EA-LSTM: Evolutionary Attention-based LSTM for Time Series Prediction
  ☆40Updated 6 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
• NshanPotikyan / TransferLearningTimeSeries
  Transfer Learning for Time Series Prediction Task
  ☆107Updated 6 years ago
• chasebk / EO_CNN
  EO-CNN: An Enhanced CNN Model Trained by Equilibrium Optimization for Traffic Transportation Prediction
  ☆15Updated 5 years ago
• ZhouYuxuanYX / Unsupervised-Deep-Learning-Framework-for-Anomaly-Detection-in-Time-Series-
  Unsupervised deep learning framework with online(MLP: prediction-based, 1 D Conv and VAE: reconstruction-based, Wavenet: prediction-based…
  ☆129Updated 3 years ago
• getBolted / LoadPredicting
  ARIMA, DBN,FFNN,GBRT,LSTM,RFR,SEQ2SEQ,SVR,XGBOOST
  ☆22Updated 6 years ago
• mehak25 / BiGAN
  ☆13Updated 4 years ago
• pyae-pyae-phyo / Short-term-electricity-load-forecasting-using-long-short-term-memory
  ☆18Updated 7 years ago
• chickenbestlover / Online-Recurrent-Extreme-Learning-Machine
  Online-Recurrent-Extreme-Learning-Machine (OR-ELM) for time-series prediction, implemented in python
  ☆155Updated 6 years ago
• lu-zhao / EMD_LSTM
  ☆31Updated 6 years ago
• husnejahan / Temporal-CNN
  Probabilistic Forecasting with Temporal Convolutional Neural Network
  ☆11Updated 6 years ago
• kdd2019-tapnet / tapnet
  Multivariate Time Series Classification Model with Attentional Prototype Network
  ☆44Updated 6 years ago
• lpphd / multivariate-attention-tcn
  ☆99Updated 2 years ago
• kushwahavishal646 / Load-Forecasting-using-Different-Deep-Learning-Architectures
  this project is to implement different deep learning architectures and evaluate them based on their performance on the hour-ahead electri…
  ☆28Updated 4 years ago
• ivivan / SSIM_Seq2Seq
  SSIM - A Deep Learning Approach for Recovering Missing Time Series Sensor Data
  ☆40Updated 4 years ago
• flaviagiammarino / deep-tcn-tensorflow
  TensorFlow implementation of DeepTCN model for probabilistic time series forecasting with temporal convolutional networks.
  ☆40Updated last year
• kaishxu / qrnn
  QRNN (Quantile Regression Neural Network) Keras version
  ☆25Updated 5 years ago
• chasebk / code_OTWO_ELM
  (Code) A new workload prediction model using extreme learning machine and enhanced tug of war optimization
  ☆15Updated 4 years ago