cloud0912 / LSTM-transformer
用深度学习进行股票预测
☆21Updated 2 years ago
Related projects ⓘ
Alternatives and complementary repositories for LSTM-transformer
- 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…☆51Updated 4 years ago
- 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 4 years ago
- 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。☆173Updated 2 years ago
- 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…☆232Updated 9 months ago
- LSTM和BP神经网络实现对股票开盘价的预测。☆15Updated 4 years ago
- 深度学习-贵州茅台股票预测 PCA、FA、RNN、LSTM、GRU☆22Updated 3 years ago
- ☆78Updated 3 years ago
- pytorch实现用LSTM做股票价格预测☆215Updated 4 years ago
- 基于PyTorch框架,使用LSTM网络对股票价格进行预测☆17Updated 3 years ago
- 股票预测,Pytorch,LSTM。☆14Updated 3 years ago
- 多元多步时间序列的LSTM模型预测——基于Keras☆75Updated 2 years ago
- 基于粒子群算法的神经网络优化股票价格预测☆31Updated 4 years ago
- (陆续更新)重新整理过的基于机器学习的股票价格预测算法,里面包含了基本的回测系统以及各种不同的机器学习算法的股票价格预测,包含:LSTM算法、Prophet算法、AutoARIMA、朴素贝叶斯、SVM等☆60Updated 4 years ago
- CNN+LSTM+Attention predict stock☆38Updated 2 years ago
- Attention-based CNN-LSTM and XGBoost hybrid model for stock prediction☆281Updated 2 years ago
- 使用svr, mlp, rnn, lstm, am-lstm进行多元时间序列回归预测☆51Updated last year
- Paper-Reproduce: (ESWA) Forecasting the realized volatility of stock price index: A hybrid model integrating CEEMDAN and LSTM☆51Updated 6 months 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。☆177Updated 4 years ago
- 使用ARIMA,Transformer,LSTM 对心跳时间序列数据进行预测☆15Updated last year
- ☆10Updated 3 years ago
- 采用RNN、LSTM、BP模型对股票数据进行预测☆14Updated 3 years ago
- 算法根据单个板块或单只股票的历史数据判断板块指数或个股次日收盘价信息,得到相应的调仓对策。可回归(预测具体价格)可分类(预测涨跌)。 长短期记忆模型(LSTM)是循环神经网络(RNN)的一种,每个输入样本都是一个序列(如某板块20天的四价一量)用这个序列预测结果。它认为某些…☆56Updated 4 years ago
- 基于BP神经网络的股票价格预测☆19Updated 2 years ago
- LSTM 实现的股票最高价预测☆126Updated last year
- 通过修改transformer使其可以预测金融时间序列☆29Updated 3 years ago
- ☆24Updated 2 years ago
- 使用bp神经网络预测股票价格。BP neural network is used to predict the stock price.☆33Updated 4 years ago
- 基于pytorch实现的时间序列预测训练框架,各个部分模块化,方便修改模型。包含时间序列预测模型、训练、验证、测试、wandb可视化、onnx导出、onnx推理、tensorrt导出、tensorrt推理。☆41Updated this week
- 用TCN 进行股票预测☆12Updated 2 years ago
- Temporal Convolutional Neural Net for stock selection, using a Genetic Algorithm for feature selection☆32Updated 4 years ago