hichenway / stock_predict_with_LSTMLinks
Predict stock with LSTM supporting pytorch, keras and tensorflow
☆832Updated 2 years ago
Alternatives and similar repositories for stock_predict_with_LSTM
Users that are interested in stock_predict_with_LSTM are comparing it to the libraries listed below
Sorting:
- Attention-based CNN-LSTM and XGBoost hybrid model for stock prediction☆398Updated 3 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。☆201Updated 3 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…☆293Updated last year
- 深度学习以进行时间序列预测☆691Updated 4 years ago
- 基于统计学的时间序列预测(AR,ARM).☆289Updated 4 years ago
- pytorch实现用LSTM做股票价格预测☆280Updated 5 years ago
- ☆102Updated 4 years ago
- stock predict with MLP,CNN,RNN,LSTM,Transformer and Transformer-LSTM☆280Updated 3 years ago
- CNN+BiLSTM+Attention Multivariate Time Series Prediction implemented by Keras☆717Updated 5 years ago
- LSTM 实现的股票最高价预测☆143Updated 2 years ago
- CNN+LSTM+Attention predict stock☆60Updated 3 years ago
- ☆254Updated last year
- 金融时间序列(预测分析 / 相似度 / 数据处理)☆251Updated last year
- Applied an ARIMA-LSTM hybrid model to predict future price correlation coefficients of two assets☆420Updated 7 years ago
- 使用深度学习模型LSTM和ConvLSTM结合Attention,对金融衍生品的成交持仓比指标进行预测☆18Updated 3 years ago
- Time series forecasting for individual household power prediction: ARIMA, xgboost, RNN☆738Updated 6 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。☆195Updated 5 years ago
- 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☆16Updated 6 years ago
- 基于LSTM的多变量时间序列预测☆22Updated last year
- LSTM-RNN Tutorial with LSTM and RNN Tutorial with Demo with Demo Projects such as Stock/Bitcoin Time Series Prediction, Sentiment Analysi…☆823Updated 10 months ago
- used for Stock Prodiction&power prediction&Traffic prediction by ARIMA,xgboost,RNN,LSTM,TCN☆113Updated 5 years ago
- the extension of https://github.com/philipperemy/keras-attention-mechanism , create a new scipt to add attetion to input dimensions rath…☆78Updated last year
- time series forecasting using pytorch,including ANN,RNN,LSTM,GRU and TSR-RNN,experimental code☆411Updated 6 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、随机森林等☆357Updated 2 years ago
- In this project, we will compare two algorithms for stock prediction. First, we will utilize the Long Short Term Memory(LSTM) network to …☆259Updated 4 years ago
- 基于LSTM的时间序列预测研究☆3,388Updated 2 years ago
- transformer/self-attention for Multidimensional time series forecasting 使用transformer架构实现多维时间预测☆236Updated 2 years ago
- 该项目用于对沪深300股票的预测,包括股票下载,数据清洗,LSTM 模型的训练,测试,以及实时预测☆409Updated 4 years ago
- tfts: Time Series Deep Learning Models in TensorFlow☆865Updated last week
- (新手十分有好!!!!)本项目通过十分简洁精炼的py代码和及其耐心的注释帮助您完成股票收盘价的预测☆11Updated 9 months ago