yhaofeng / finance_transformer
通过修改transformer使其可以预测金融时间序列
☆33Updated 3 years ago
Alternatives and similar repositories for finance_transformer:
Users that are interested in finance_transformer are comparing it to the libraries listed below
- 多元多步时间序列的LSTM模型预测——基于Keras☆80Updated 3 years ago
- 使用改良的Transformer模型应用于多维时间序列的分类任务上☆83Updated 3 years ago
- Deep learning PyTorch library for time series forecasting☆121Updated last year
- transformer/self-attention for Multidimensional time series forecasting 使用transformer架构实现多维时间预测☆231Updated last year
- 根据Seanny123复现论文A Dual-Stage Attention-Based Recurrent Neural Network for Time Series Prediction的pytorch代码进行相关修改，适应pytorch1.2版本☆32Updated 4 years ago
- 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 2 years ago
- used for Stock Prodiction&power prediction&Traffic prediction by ARIMA,xgboost,RNN,LSTM,TCN☆104Updated 5 years ago
- 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☆21Updated 3 years ago
- 客流量时间序列预测模型☆117Updated 3 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)☆55Updated 4 years ago
- 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 4 years ago
- Using transformer models to do multi-step equity time series prediction.☆12Updated 4 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…☆258Updated last year
- 使用支持向量机、弹性网络、随机森林、LSTM、SARIMA等多种算法进行时间序列的回归预测，除此以外还采取了多种组合方法对以上算法输出的结果进行组合预测。Support vector machine, elastic network, random forest, LSTM…☆44Updated 4 years ago
- ☆44Updated 4 years ago
- 双塔模型，打比赛用。解决多维时间序列的分类预测任务☆32Updated 2 years ago
- 不同时间序列预测方法对上海旅游规模进行预测☆17Updated 5 years ago
- CNN+LSTM+Attention predict stock☆45Updated 2 years ago
- for the realization of TDformer in the paper "First De-Trend then Attend: Rethinking Attention for Time-Series Forecasting", thank you ve…☆35Updated last year
- 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。☆46Updated last month
- 利用时间序列预测汽车销量☆38Updated 6 years ago
- 建立SARIMA-LSTM混合模型预测时间序列问题。以PM2.5值为例，使用UCI公开的自2013年1月17日至2015年12月31日五大城市PM2.5小时检测数据，将数据按时间段划分，使用SARIMA过滤其线性趋势，再对过滤后的残差使用LSTM进行预测，最后对预测结果进行…☆74Updated 6 years ago
- Time Series Prediction, Stateful LSTM; 时间序列预测，洗发水销量/股票走势预测，有状态循环神经网络☆58Updated 7 years ago
- 使用ARIMA,Transformer,LSTM 对心跳时间序列数据进行预测☆16Updated last year
- Time series forecasting especially in LSTF compare，include Informer, Autoformer, Reformer, Pyraformer, FEDformer, Transformer, MTGNN, LST…☆112Updated 2 years ago
- 多模态股价预测系统☆19Updated 3 years ago
- ☆68Updated last year
- Codes for time series forecast☆146Updated 4 years ago
- 基于pytorch搭建多特征LSTM时间序列预测☆163Updated 2 years ago
- This is the PyTorch implementation of TPA-LSTM☆59Updated 5 years ago