Alternatives and similar repositories for Multivariate-time-series-forecasting-keras

Users that are interested in Multivariate-time-series-forecasting-keras are comparing it to the libraries listed below

• jsyoon0823 / Time-series-prediction
  Basic RNN, LSTM, GRU, and Attention for time-series prediction
  ☆176Updated 9 months ago
• sarikayamehmet / cnn-bilstm-attention
  Multivariate Time Series Prediction using Keras (CNN BiLSTM Attention)
  ☆91Updated 4 years ago
• FateMurphy / CEEMDAN_LSTM
  CEEMDAN_LSTM is a Python project for decomposition-integration forecasting models based on EMD methods and LSTM.
  ☆268Updated 5 months ago
• ashrafalaghbari / GA-TCN-LSTM
  An Ensemble DL Model Tuned with Genetic Algorithm for Oil Production Forecasting.
  ☆72Updated 2 years ago
• benman1 / time-series
  Time-Series models for multivariate and multistep forecasting, regression, and classification
  ☆62Updated 3 years ago
• lpphd / multivariate-attention-tcn
  ☆97Updated 2 years ago
• Hupperich-Manuel / LSTM-XGBoost-Hybrid-Forecasting
  LSTM-XGBoost Time Series Forecasting
  ☆141Updated last year
• flaviagiammarino / deep-tcn-tensorflow
  TensorFlow implementation of DeepTCN model for probabilistic time series forecasting with temporal convolutional networks.
  ☆39Updated last year
• zhangxu0307 / time-series-forecasting-keras
  time series forecasting using keras, inlcuding LSTM,RNN,MLP,GRU,SVR and multi-lag training and forecasting method, ICONIP2017 paper.
  ☆120Updated 6 years ago
• louisyuzhe / deeplearning_forecast
  Application of deep learning model (Temporal Fusion Transformer) to forecast time-series data
  ☆33Updated 4 years ago
• ctxj / Time-Series-Transformer-Pytorch
  ☆68Updated 4 years ago
• CVxTz / time_series_forecasting
  ☆204Updated 3 years ago
• zshicode / Attention-CLX-stock-prediction
  Attention-based CNN-LSTM and XGBoost hybrid model for stock prediction
  ☆381Updated 3 years ago
• FateMurphy / CEEMDAN-VMD-GRU
  CEEMDAN-VMD-LSTM Forecasting model (a light version of CEEMDAN_LSTM)
  ☆98Updated 2 years ago
• ritikdhame / Electricity_Demand_and_Price_forecasting
  Building Time series forecasting models, including the XGboost Regressor, GRU (Gated Recurrent Unit), LSTM (Long Short-Term Memory), CNN …
  ☆97Updated 2 years ago
• dehoyosb / temporal_fusion_transformer_pytorch
  ☆226Updated 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
• RuifMaxx / Multidimensional-time-series-with-transformer
  transformer/self-attention for Multidimensional time series forecasting 使用transformer架构实现多维时间预测
  ☆234Updated last year
• KasperGroesLudvigsen / influenza_transformer
  PyTorch implementation of Transformer model used in "Deep Transformer Models for Time Series Forecasting: The Influenza Prevalence Case"
  ☆257Updated 2 years ago
• stevinc / Transformer_Timeseries
  Pytorch code for Google's Temporal Fusion Transformer
  ☆98Updated 3 years ago
• tranducquy / tcn-fx-price-prediction
  Forex Time-Series Prediction Using TCN
  ☆46Updated 5 years ago
• matheusbfernandes / stock-market-prediction
  Stock Price Prediction using CNN-LSTM
  ☆85Updated 5 years ago
• nok-halfspace / Transformer-Time-Series-Forecasting
  ☆396Updated 4 years ago
• sm823zw / Stock-Market-Index-Prediction
  This repo deals with time series prediction using LSTMs. An encoder-decoder architecture was used for this purpose. A dual-stage attentio…
  ☆23Updated 3 years ago
• fbadine / LSTNet
  A Tensorflow / Keras implementation of "Modeling Long- and Short-Term Temporal Patterns with Deep Neural Networks" paper
  ☆176Updated 3 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…
  ☆50Updated 3 years ago
• ArcherCYM / CEEMDAN-LSTM
  Paper-Reproduce: (ESWA) Forecasting the realized volatility of stock price index: A hybrid model integrating CEEMDAN and LSTM
  ☆67Updated last year
• UalwaysKnow / time-series-prediction-with-gan
  stock forecasting with sentiment variables(with lstm as generator and mlp as discriminator)
  ☆36Updated 5 years ago
• Corezcy / EEMD-LSTM-DO-Prediction
  EEMD、LSTM、time series prediction、DO、Deep Learning
  ☆88Updated 3 years ago
• hyliush / deep-time-series
  Deep learning PyTorch library for time series forecasting
  ☆127Updated last year