Alternatives and similar repositories for Multi-modal-Valuation-Forecast-System

Users that are interested in Multi-modal-Valuation-Forecast-System are comparing it to the libraries listed below

• 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…
  ☆292Updated last year
• koi-boy / CNN-LSTM-Attention
  CNN+LSTM+Attention predict stock
  ☆60Updated 3 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
  ☆82Updated 3 years ago
• 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）
  ☆64Updated 2 years ago
• FateMurphy / CEEMDAN_LSTM
  CEEMDAN_LSTM is a Python project for decomposition-integration forecasting models based on EMD methods and LSTM.
  ☆271Updated 6 months ago
• Corezcy / EEMD-LSTM-DO-Prediction
  EEMD、LSTM、time series prediction、DO、Deep Learning
  ☆88Updated 3 years ago
• GivyBoy / CEEMDAN-and-LSTM-CNN-CBAM
  This repo holds the implementation the paper 'Forecasting gold price using a novel hybrid model with ICEEMDAN and LSTM-CNN-CBAM', by Yanh…
  ☆50Updated 3 years ago
• py00128 / Cryptocurrency-Price-Prediction
  Closing price prediction for BTC and ETH using LSTM, CNN-LSTM, BiLSTM, CNN-BiLSTM, and GRU
  ☆34Updated 3 years ago
• momodagithub / regression-prediction-algorithms
  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…
  ☆46Updated 5 years ago
• 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
• WuZK96 / X12-ARIMA-ICEEMDAN-FCM-FTS
  ☆27Updated 3 years ago
• 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。
  ☆200Updated 3 years ago
• ashrafalaghbari / GA-TCN-LSTM
  An Ensemble DL Model Tuned with Genetic Algorithm for Oil Production Forecasting.
  ☆73Updated 2 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
• FateMurphy / CEEMDAN-VMD-GRU
  CEEMDAN-VMD-LSTM Forecasting model (a light version of CEEMDAN_LSTM)
  ☆100Updated 3 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
• Tuniverj / Pytorch-lstm-forecast
  基于pytorch搭建多特征LSTM时间序列预测
  ☆172Updated 2 years ago
• ArcherCYM / CEEMDAN-LSTM
  Paper-Reproduce: (ESWA) Forecasting the realized volatility of stock price index: A hybrid model integrating CEEMDAN and LSTM
  ☆68Updated last year
• Rssevenyu / pytorch-time_series_data-prediction-with-gru-and-lstm
  (pytorch)time_series_data-prediction-with-gru-and-lstm
  ☆47Updated 3 years ago
• mo2ye / SARIMA-LSTM
  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…
  ☆82Updated 6 years ago
• RuichongWang / LSTM-with-Continuous-Wavelet-Transformation-in-Time-Series-Prediction
  ☆16Updated 3 years ago
• NoahYL / JD20210916
  CEEMDAN+SampleEntropy+LSTM+RF
  ☆15Updated 3 years ago
• sarikayamehmet / cnn-bilstm-attention
  Multivariate Time Series Prediction using Keras (CNN BiLSTM Attention)
  ☆94Updated 4 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。
  ☆194Updated 5 years ago
• Xiaoyi2001 / PSO-LSTM
  ☆31Updated 2 years ago
• browngres / EMD-VMD-TCN
  EMD-VMD-TCN short-term load forecasting
  ☆14Updated 2 years ago
• ChiYaoLa / TimeSeriesPredict
  used for Stock Prodiction&power prediction&Traffic prediction by ARIMA,xgboost,RNN,LSTM,TCN
  ☆113Updated 5 years ago
• Jyukai02 / Gated-Transformer-on-MTS-1
  使用改良的Transformer模型应用于多维时间序列的分类任务上
  ☆90Updated 4 years ago
• narthana02 / TSF-BTC-LSTM-RNN-PSO-GWO
  Time Series Forecasting of Bitcoin Prices using LSTM and RNN with Particle Swarm Optimization and Grey Wolf Optimizer
  ☆21Updated 2 years ago
• zshicode / Attention-CLX-stock-prediction
  Attention-based CNN-LSTM and XGBoost hybrid model for stock prediction
  ☆396Updated 3 years ago