Alternatives and similar repositories for bagging-lstm

Users that are interested in bagging-lstm are comparing it to the libraries listed below

• DimasDMM / time-series-classification
  Binary Time Series Classification using two different approaches: LSTM with Dropout and LSTM with Attention.
  ☆13Updated 5 years ago
• LiYouru0228 / EA-LSTM
  EA-LSTM: Evolutionary Attention-based LSTM for Time Series Prediction
  ☆39Updated 6 years ago
• browngres / EMD-VMD-TCN
  EMD-VMD-TCN short-term load forecasting
  ☆14Updated 2 years ago
• lpphd / multivariate-attention-tcn
  ☆98Updated 2 years ago
• mehak25 / BiGAN
  ☆13Updated 4 years ago
• getBolted / LoadPredicting
  ARIMA, DBN,FFNN,GBRT,LSTM,RFR,SEQ2SEQ,SVR,XGBOOST
  ☆22Updated 6 years ago
• Corezcy / EEMD-LSTM-DO-Prediction
  EEMD、LSTM、time series prediction、DO、Deep Learning
  ☆89Updated 4 years ago
• FateMurphy / CEEMDAN-VMD-GRU
  CEEMDAN-VMD-LSTM Forecasting model (a light version of CEEMDAN_LSTM)
  ☆105Updated 3 years ago
• flaviagiammarino / deep-tcn-tensorflow
  TensorFlow implementation of DeepTCN model for probabilistic time series forecasting with temporal convolutional networks.
  ☆40Updated last year
• SophiaWJ / Transfer-learning
  Transfer Knowledge Learned from Multiple Domains for Time-series Data Prediction
  ☆12Updated 7 years ago
• asurazl / EMD_BiLSTM
  Air Quality Predictions with a Semi-Supervised Bidirectional LSTM Neural Network
  ☆25Updated 4 years ago
• sarikayamehmet / cnn-bilstm-attention
  Multivariate Time Series Prediction using Keras (CNN BiLSTM Attention)
  ☆97Updated 5 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
• UalwaysKnow / time-series-prediction-with-gan
  stock forecasting with sentiment variables(with lstm as generator and mlp as discriminator)
  ☆36Updated 6 years ago
• ashrafalaghbari / GA-TCN-LSTM
  An Ensemble DL Model Tuned with Genetic Algorithm for Oil Production Forecasting.
  ☆74Updated 2 years ago
• Ray-0403 / superblack.github.io
  A novel time series forecasting model, called CEEMDAN-TCN.
  ☆11Updated 3 years ago
• ru0nan / Queuing-system-optimization
  GA，PSO，LSTM...
  ☆26Updated 7 years ago
• jinmang2 / LSTM-SAE
  Pytorch Implementation of LSTM-SAE(Long Short Term Memory - Stacked AutoEncoder)
  ☆25Updated last year
• EsmeYi / time-series-forcasting
  Using K-NN, SVM, Bayes, LSTM, and multi-variable LSTM models on time series forecasting
  ☆52Updated 6 years ago
• GivyBoy / CEEMDAN-and-LSTM-CNN-CBAM
  This repo holds the implementation the paper 'Forecasting gold price using a novel hybrid model with ICEEMDAN and LSTM-CNN-CBAM', by Yanh…
  ☆52Updated 3 years ago
• irenekarijadi / RF-LSTM-CEEMDAN
  Building energy consumption prediction using hybrid RF-LSTM based CEEMDAN method
  ☆35Updated 3 years ago
• paudelprabesh / Hyperparameter-Tuning-In-LSTM-Network
  Hyperparameter Tuning in LSTM using Genetic Algorithm, Bayesian Optimization, Random Search, Grid Search.
  ☆43Updated 4 years ago
• Varat7v2 / STLF-BiLSTM-CNNBiLSTM
  Short-Term Aggregated Residential Load Forecasting using BiLSTM and CNN-BiLSTM
  ☆39Updated 2 years ago
• Jeevesh8 / GHI-prediction
  PyTorch Code for running various time series models for different time stamps and confidence intervals for Solar Irradiance prediction.
  ☆60Updated 5 years ago
• aquafina2332 / EMD-Transformer-BiLSTM
  Short-term Air Quality Prediction Based on EMD-Transformer-BiLSTM
  ☆42Updated last year
• joongminpark / Forecasting-TCN
  TCN(Temporal Convolutional Network) model for load forecasting with serial data.
  ☆13Updated 5 years ago
• zwd2016 / multivariate-time-series-prediction
  This code is the implementation of this paper (Multistage attention network for multivariate time series prediction)
  ☆23Updated 5 years ago
• shrey920 / MultivariateTimeSeriesForecasting
  This project is an implementation of the paper Modeling Long- and Short-Term Temporal Patterns with Deep Neural Networks. The model LSTNe…
  ☆17Updated 6 years ago
• StoicGilgamesh / LSTM-GAN-
  The LSTM GAN model can be used for generation of synthetic multi-dimension time series data.
  ☆38Updated 6 years ago
• yeguo419 / DAE_impute
  Time series missing data imputation with Temporal Convolutional Denoising Autoencoder
  ☆18Updated last year