koi-boy / CNN-LSTM-Attention
CNN+LSTM+Attention predict stock
☆52Updated 2 years ago
Alternatives and similar repositories for CNN-LSTM-Attention:
Users that are interested in CNN-LSTM-Attention are comparing it to the libraries listed below
- 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…☆267Updated last year
- 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)☆56Updated 2 years ago
- ☆26Updated 3 years ago
- Tree seed algorithm and Particle Swarm algorithm are used for searching the LSTM hyper parameters☆10Updated 2 years ago
- CEEMDAN-VMD-LSTM Forecasting model (a light version of CEEMDAN_LSTM)☆89Updated 2 years ago
- ☆18Updated 3 years ago
- EEMD、LSTM、time series prediction、DO、Deep Learning☆85Updated 3 years ago
- 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
- ☆30Updated last year
- ☆24Updated 2 years ago
- CEEMDAN_LSTM is a Python project for decomposition-integration forecasting models based on EMD methods and LSTM.☆252Updated last month
- 多元多步时间序列的LSTM模型预测——基于Keras☆80Updated 3 years ago
- 使用ARIMA,Transformer,LSTM 对心跳时间序列数据进行预测☆16Updated last year
- An Ensemble DL Model Tuned with Genetic Algorithm for Oil Production Forecasting.☆67Updated last year
- Short-term Air Quality Prediction Based on EMD-Transformer-BiLSTM☆30Updated last year
- ☆23Updated 3 months ago
- CNN+LSTM+Attention实现时间序列预测☆53Updated 10 months ago
- 基于pytorch搭建多特征LSTM时间序列预测☆165Updated 2 years ago
- 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。☆186Updated 4 years ago
- Paper-Reproduce: (ESWA) Forecasting the realized volatility of stock price index: A hybrid model integrating CEEMDAN and LSTM☆62Updated 11 months ago
- A novel time series forecasting model, called CEEMDAN-TCN.☆11Updated 3 years ago
- Closing price prediction for BTC and ETH using LSTM, CNN-LSTM, BiLSTM, CNN-BiLSTM, and GRU☆30Updated 2 years ago
- Performed comparative analysis of BiLSTM, CNN-BiLSTM and CNN-BiLSTM with attention models for forecasting cases.☆41Updated 2 years ago
- PyTorch实现的Informer (Informer:用于长序列时间序列预测☆25Updated 2 years ago
- CSDN中的代码 在github中建立仓库存储☆26Updated 2 years ago
- Using transformer models to do multi-step equity time series prediction.☆13Updated 4 years ago
- used for Stock Prodiction&power prediction&Traffic prediction by ARIMA,xgboost,RNN,LSTM,TCN☆107Updated 5 years ago
- 使用LSTM、GRU、BPNN进行时间序列预测。Using LSTM\GRU\BPNN for time series forecasting. (Pytorch Edition)☆56Updated 4 years ago
- ☆17Updated 3 years ago
- 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…☆162Updated 4 years ago