Alternatives and similar repositories for CNN-LSTM-Attention

Users that are interested in CNN-LSTM-Attention are comparing it to the libraries listed below

• wqk666999 / CNN-LSTM-Attention
  使用卷积神经网络-长短期记忆网络（bi-LSTM）-注意力机制对股票收盘价进行回归预测。The convolution neural network, short-term memory network and attention mechanism are used to…
  ☆288Updated last year
• PatientEz / CNN-BiLSTM-Attention-Time-Series-Prediction_Keras
  CNN+BiLSTM+Attention Multivariate Time Series Prediction implemented by Keras
  ☆701Updated 5 years ago
• FateMurphy / CEEMDAN_LSTM
  CEEMDAN_LSTM is a Python project for decomposition-integration forecasting models based on EMD methods and LSTM.
  ☆268Updated 4 months 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
  ☆82Updated 3 years ago
• ashrafalaghbari / GA-TCN-LSTM
  An Ensemble DL Model Tuned with Genetic Algorithm for Oil Production Forecasting.
  ☆72Updated 2 years ago
• Tuniverj / Pytorch-lstm-forecast
  基于pytorch搭建多特征LSTM时间序列预测
  ☆171Updated 2 years ago
• xingxiaoxuan / ssa-lstm
  ☆19Updated 4 years ago
• taogeanton3 / Informer-1
  PyTorch实现的Informer (Informer:用于长序列时间序列预测
  ☆26Updated 3 years ago
• sanshuishou / -VMD-Attention-LSTM-
  基于VMD-Attention-LSTM的时间序列预测模型（代码仅使用了一个较小数据集的训练及预测，内含使用使用逻辑，适合初学者观看，模型结构是可行的，有能力的请尝试使用更大的数据集训练）
  ☆63Updated 2 years ago
• ki-ljl / LSTM-Load-Forecasting
  Implementation of Electric Load Forecasting Based on LSTM(BiLSTM). Including Univariate-SingleStep forecasting, Multivariate-SingleStep f…
  ☆246Updated 3 years ago
• Corezcy / EEMD-LSTM-DO-Prediction
  EEMD、LSTM、time series prediction、DO、Deep Learning
  ☆88Updated 3 years ago
• FateMurphy / CEEMDAN-VMD-GRU
  CEEMDAN-VMD-LSTM Forecasting model (a light version of CEEMDAN_LSTM)
  ☆97Updated 2 years ago
• Xiaoyi2001 / PSO-LSTM
  ☆31Updated 2 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
• HiddenSharp / LSTM-SVM-RF-time-series
  Regression prediction of time series data using LSTM, SVM and random forest. 使用LSTM、SVM、随机森林对时间序列数据进行回归预测，注释拉满。
  ☆191Updated 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)
  ☆58Updated 4 years ago
• yuekong2010 / load-forecasting-algorithms
  使用多种算法（线性回归、随机森林、支持向量机、BP神经网络、GRU、LSTM）进行电力系统负荷预测/电力预测。通过一个简单的例子。A variety of algorithms (linear regression, random forest, support vecto…
  ☆171Updated 5 years ago
• Rssevenyu / pytorch-time_series_data-prediction-with-gru-and-lstm
  (pytorch)time_series_data-prediction-with-gru-and-lstm
  ☆47Updated 3 years ago
• pengxiang1998 / DeepLearning
  CNN+LSTM+Attention实现时间序列预测
  ☆57Updated last year
• MaybeWilliam / stock-price-prediction-BPNN-LSTM
  Use BPNN and LSTM to forecast stock price. 使用BP神经网络和LSTM预测股票价格，注释拉满。
  ☆198Updated 3 years ago
• WY-Lan / TSA-LSTM-and-PSO-LSTM
  Tree seed algorithm and Particle Swarm algorithm are used for searching the LSTM hyper parameters
  ☆11Updated 2 years ago
• zshicode / Attention-CLX-stock-prediction
  Attention-based CNN-LSTM and XGBoost hybrid model for stock prediction
  ☆381Updated 3 years ago
• samyeh0527 / CNN_BiLSTM_withAttention
  ☆17Updated 3 years ago
• LeicongLC / GM-1-1--BP
  此项目包括数据的预处理、使用GM(1,1)和BP神经网络模型进行数据分析和预测，以及结果的可视化展示。项目旨在展示如何结合传统的机器学习方法和深度学习技术来进行时间序列预测。
  ☆10Updated 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
• linyu096 / TCN_TRAS_power
  use TCN and Transformer model for "Hourly Energy Consumption" data
  ☆13Updated 3 years ago
• WuZK96 / X12-ARIMA-ICEEMDAN-FCM-FTS
  ☆26Updated 3 years ago
• gangweix / Stoch-predict-with-Tranformer-LSTM
  stock predict with MLP,CNN,RNN,LSTM,Transformer and Transformer-LSTM
  ☆269Updated 3 years ago
• litaolemo / Research
  使用ARIMA,Transformer,LSTM 对心跳时间序列数据进行预测
  ☆18Updated last year
• JeCase / LoadElectricity_Forecasting_CNN-BiLSTM-Attention
  Performed comparative analysis of BiLSTM, CNN-BiLSTM and CNN-BiLSTM with attention models for forecasting cases.
  ☆45Updated 2 years ago