Alternatives and similar repositories for cnn-bilstm-attention:

Users that are interested in cnn-bilstm-attention are comparing it to the libraries listed below

• samyeh0527 / CNN_BiLSTM_withAttention
  ☆17Updated 3 years ago
• jsyoon0823 / Time-series-prediction
  Basic RNN, LSTM, GRU, and Attention for time-series prediction
  ☆157Updated 4 months ago
• asurazl / EMD_BiLSTM
  Air Quality Predictions with a Semi-Supervised Bidirectional LSTM Neural Network
  ☆22Updated 3 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 …
  ☆59Updated last year
• ashrafalaghbari / GA-TCN-LSTM
  An Ensemble DL Model Tuned with Genetic Algorithm for Oil Production Forecasting.
  ☆61Updated last year
• py00128 / Cryptocurrency-Price-Prediction
  Closing price prediction for BTC and ETH using LSTM, CNN-LSTM, BiLSTM, CNN-BiLSTM, and GRU
  ☆29Updated 2 years ago
• tranducquy / tcn-fx-price-prediction
  Forex Time-Series Prediction Using TCN
  ☆44Updated 5 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…
  ☆48Updated 2 years ago
• ChiYaoLa / TimeSeriesPredict
  used for Stock Prodiction&power prediction&Traffic prediction by ARIMA,xgboost,RNN,LSTM,TCN
  ☆104Updated 5 years ago
• BatchClayderman / CEEMDAN-SE-GWO-LSTM
  ☆23Updated last month
• lpphd / multivariate-attention-tcn
  ☆91Updated last year
• Corezcy / EEMD-LSTM-DO-Prediction
  EEMD、LSTM、time series prediction、DO、Deep Learning
  ☆84Updated 3 years ago
• UalwaysKnow / time-series-prediction-with-gan
  stock forecasting with sentiment variables(with lstm as generator and mlp as discriminator)
  ☆34Updated 5 years ago
• Heitao5200 / LSTM-for-Time-Series-Forecasting-Pytorch
  使用LSTM、GRU、BPNN进行时间序列预测。Using LSTM\GRU\BPNN for time series forecasting. (Pytorch Edition)
  ☆53Updated 4 years ago
• afshinfaramarzi / Energy-Demand-electricity-price-Forecasting
  Electricity price (energy demand) forecasting using different ML, DL, stacked DL and hybrid methods (XGBoost, GRU, LSTM, CNN, CNN-LSTM, L…
  ☆37Updated last year
• rodgdutra / CNN-LSTM_gold_price
  Python implementation of the paper "A CNN–LSTM model for gold price time-series forecasting". Published in Neural Computing and Applicati…
  ☆17Updated 3 years ago
• browngres / EMD-VMD-TCN
  EMD-VMD-TCN short-term load forecasting
  ☆13Updated last year
• koi-boy / CNN-LSTM-Attention
  CNN+LSTM+Attention predict stock
  ☆45Updated 2 years ago
• Rssevenyu / pytorch-time_series_data-prediction-with-gru-and-lstm
  (pytorch)time_series_data-prediction-with-gru-and-lstm
  ☆43Updated 2 years ago
• Varat7v2 / STLF-BiLSTM-CNNBiLSTM
  Short-Term Aggregated Residential Load Forecasting using BiLSTM and CNN-BiLSTM
  ☆30Updated 2 years ago
• JeCase / LoadElectricity_Forecasting_CNN-BiLSTM-Attention
  Performed comparative analysis of BiLSTM, CNN-BiLSTM and CNN-BiLSTM with attention models for forecasting cases.
  ☆38Updated last year
• FateMurphy / CEEMDAN-VMD-GRU
  CEEMDAN-VMD-LSTM Forecasting model (a light version of CEEMDAN_LSTM)
  ☆87Updated 2 years ago
• NoahYL / JD20210916
  CEEMDAN+SampleEntropy+LSTM+RF
  ☆14Updated 3 years ago
• Ray-0403 / superblack.github.io
  A novel time series forecasting model, called CEEMDAN-TCN.
  ☆11Updated 2 years ago
• PatientEz / keras-attention-mechanism
  the extension of https://github.com/philipperemy/keras-attention-mechanism , create a new scipt to add attetion to input dimensions rath…
  ☆77Updated 6 months ago
• andre-zh / pytorch_pso_lstm_timeseries
  ☆16Updated 2 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…
  ☆24Updated 3 years ago
• irenekarijadi / RF-LSTM-CEEMDAN
  Building energy consumption prediction using hybrid RF-LSTM based CEEMDAN method
  ☆31Updated 2 years ago
• paudelprabesh / Hyperparameter-Tuning-In-LSTM-Network
  Hyperparameter Tuning in LSTM using Genetic Algorithm, Bayesian Optimization, Random Search, Grid Search.
  ☆30Updated 3 years ago
• Aviator16 / Sales_Prediction_in_Pytorch
  Predicting sales of items in stores using Feed Forward Neural Network, Long Short Term Memory, Temporal Convolution Network & a hybrid of…
  ☆15Updated 3 years ago