Alternatives and similar repositories for TPA-LSTM_in_tf2:

Users that are interested in TPA-LSTM_in_tf2 are comparing it to the libraries listed below

• oubahe / TPA-LSTM
  Temporal Pattern Attention for Multivariate Time Series Forecasting
  ☆16Updated 4 years ago
• BatchClayderman / CEEMDAN-SE-GWO-LSTM
  ☆23Updated 2 months ago
• PatientEz / LSTNet_Keras
  my blog https://blog.csdn.net/qq_35649669/article/details/105586099
  ☆47Updated 4 years ago
• ru0nan / Queuing-system-optimization
  GA，PSO，LSTM...
  ☆23Updated 6 years ago
• Varat7v2 / STLF-BiLSTM-CNNBiLSTM
  Short-Term Aggregated Residential Load Forecasting using BiLSTM and CNN-BiLSTM
  ☆31Updated 2 years ago
• tony-psq / QRMGM_KDE
  A probabilistic forecasting method based on Quantile Regression Minimal Gated Memory Network and Kernel Density Estimation.
  ☆21Updated 5 years ago
• oubahe / GSA-PSO-SVR
  一种有效的电力负荷预测方法
  ☆60Updated 5 years ago
• yunfei1218 / LSTM-Attention
  使用LSTM预测回归问题，使用注意力机制自动提取特征的重要程度。Using LSTM to predict regression problems, Attention mechanism is used to automatically extract the impor…
  ☆18Updated 4 years ago
• Ray-0403 / superblack.github.io
  A novel time series forecasting model, called CEEMDAN-TCN.
  ☆11Updated 2 years ago
• browngres / EMD-VMD-TCN
  EMD-VMD-TCN short-term load forecasting
  ☆13Updated last year
• asurazl / EMD_BiLSTM
  Air Quality Predictions with a Semi-Supervised Bidirectional LSTM Neural Network
  ☆22Updated 3 years ago
• momodagithub / regression-prediction-algorithms
  使用支持向量机、弹性网络、随机森林、LSTM、SARIMA等多种算法进行时间序列的回归预测，除此以外还采取了多种组合方法对以上算法输出的结果进行组合预测。Support vector machine, elastic network, random forest, LSTM…
  ☆44Updated 4 years ago
• Corezcy / EEMD-LSTM-DO-Prediction
  EEMD、LSTM、time series prediction、DO、Deep Learning
  ☆85Updated 3 years ago
• FateMurphy / CEEMDAN-VMD-GRU
  CEEMDAN-VMD-LSTM Forecasting model (a light version of CEEMDAN_LSTM)
  ☆89Updated 2 years ago
• getBolted / LoadPredicting
  ARIMA, DBN,FFNN,GBRT,LSTM,RFR,SEQ2SEQ,SVR,XGBOOST
  ☆22Updated 5 years ago
• andre-zh / pytorch_pso_lstm_timeseries
  ☆16Updated 2 years ago
• WY-Lan / TSA-LSTM-and-PSO-LSTM
  Tree seed algorithm and Particle Swarm algorithm are used for searching the LSTM hyper parameters
  ☆10Updated 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.
  ☆37Updated last year
• LiYouru0228 / EA-LSTM
  EA-LSTM: Evolutionary Attention-based LSTM for Time Series Prediction
  ☆38Updated 6 years ago
• currylym / time-series-prediction-learning-record
  Learning Record about TSP
  ☆59Updated 5 years ago
• XunDong-Shi / photovoltaics
  光伏发电功率预测
  ☆74Updated 4 years ago
• lwb-xmu / Multivariate-multi-step-time-series-forecasting-via-LSTM
  多元多步时间序列的LSTM模型预测——基于Keras
  ☆80Updated 3 years ago
• chyaou / VMD-CNN-LSTM-AM-wind-power-forecast
  ☆32Updated 2 years ago
• irenekarijadi / CEEMDAN-EWT-LSTM
  Wind Power Forecasting Based on Hybrid CEEMDAN-EWT Deep Learning Method
  ☆54Updated last year
• WuZK96 / X12-ARIMA-ICEEMDAN-FCM-FTS
  ☆23Updated 3 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 7 months ago
• mitre7 / ngboost_pv_forecasting
  An interpretable probabilistic model for short-term solar power forecasting using natural gradient boosting
  ☆15Updated 3 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…
  ☆38Updated last year
• Cui-F / GA_LSTM
  ☆15Updated 4 years ago
• Suzzanemansi / EMD-LSTM-MLP
  To increase the prediction accuracy by using EMD with LSTM an MLP networks.
  ☆12Updated 4 years ago