Alternatives and similar repositories for CNN_Attention_LSTM

Users that are interested in CNN_Attention_LSTM are comparing it to the libraries listed below

• 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。
  ☆197Updated 3 years ago
• 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…
  ☆287Updated last year
• netblind / stockPredict
  pytorch实现用LSTM做股票价格预测
  ☆274Updated 5 years ago
• koi-boy / CNN-LSTM-Attention
  CNN+LSTM+Attention predict stock
  ☆55Updated 3 years ago
• yangwohenmai / DeepLearningForTSF
  深度学习以进行时间序列预测
  ☆673Updated 4 years ago
• cxdsz / stock-price-prediction-algorithms
  使用随机森林、bp神经网络、LSTM神经网络、GRU对股票收盘价进行回归预测。Random forest, BP neural network, LSTM neural network and GRU are used to predict the closing pric…
  ☆53Updated 5 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
• HAlicia / LSTM-ANN-Time-Series-Prediction
  使用LSTM、ANN网络进行时间序列的多步预测。一般情况下机器学习算法在进行时间序列预测时采取一步预测的方法。该段代码将其拓展到多步预测的情形。主要改进在于数据的构建。LSTM and ANN are used to predict the time series. In …
  ☆16Updated 4 years ago
• yangwohenmai / TimeSeriesForecasting
  基于统计学的时间序列预测(AR,ARM).
  ☆280Updated 4 years ago
• ohMyJason / time_series_prediction
  信息分析预测期末课设_使用ARIMA模型与SVR对一组时间序列数据进行预测分析
  ☆14Updated 6 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
• gangweix / Stoch-predict-with-Tranformer-LSTM
  stock predict with MLP,CNN,RNN,LSTM,Transformer and Transformer-LSTM
  ☆267Updated 3 years ago
• HugoWang232608 / PM2.5Prediction
  基于LSTM的多变量时间序列预测
  ☆21Updated last year
• 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
• Lanping-Tech / Multi-modal-Valuation-Forecast-System
  多模态股价预测系统
  ☆18Updated 3 years ago
• xingxiaoxuan / ssa-lstm
  ☆18Updated 4 years ago
• Tuniverj / Pytorch-lstm-forecast
  基于pytorch搭建多特征LSTM时间序列预测
  ☆169Updated 2 years ago
• jm199504 / Financial-Time-Series
  金融时间序列（预测分析 / 相似度 / 数据处理）
  ☆242Updated last year
• PatientEz / CNN-BiLSTM-Attention-Time-Series-Prediction_Keras
  CNN+BiLSTM+Attention Multivariate Time Series Prediction implemented by Keras
  ☆695Updated 5 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
• zshicode / Attention-CLX-stock-prediction
  Attention-based CNN-LSTM and XGBoost hybrid model for stock prediction
  ☆375Updated 3 years ago
• ningmengwei-ata / Capacity-Forecast-with-TTE
  Undergradute final project with ARIMA,LSTM,GRU,Xgboost and DeepTTE.毕业论文代码库合集，包括基于ARIMA,LSTM,GRU进行时间序列预测，基于DeepTTE解决ETA(estimated time of …
  ☆20Updated 3 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
• dukuanbing / bpnn-stock-price-prediction
  使用bp神经网络预测股票价格。BP neural network is used to predict the stock price.
  ☆37Updated 5 years ago
• yhaofeng / net_for_Cryptocurrency
  采用神经网络来预测加密货币涨跌，同时采用贝叶斯优化方法调整超参数
  ☆22Updated 4 years ago
• sksujan58 / Multivariate-time-series-forecasting-using-LSTM
  ☆252Updated last year
• 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
• TankZhouFirst / Pytorch-LSTM-Stock-Price-Predict
  LSTM 实现的股票最高价预测
  ☆142Updated 2 years ago
• stxupengyu / LSTM-regression-and-classification
  使用LSTM对股票价格进行回归预测，对股价涨跌进行分类预测。We use LSTM to forecast the stock price and classify the rise and fall of the stock price.
  ☆18Updated 5 years ago
• yhaofeng / finance_transformer
  通过修改transformer使其可以预测金融时间序列
  ☆35Updated 4 years ago