Alternatives and similar repositories for GM-1-1--BP

Users that are interested in GM-1-1--BP 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
• 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
• yuekong2010 / load-forecasting-algorithms
  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…
  ☆174Updated 5 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
• koi-boy / CNN-LSTM-Attention
  CNN+LSTM+Attention predict stock
  ☆60Updated 3 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
• Lord-Fec / LSTM-BP-Load-Forecasing
  Load forecasting using LSTM and BP.使用LSTM、BP神经网络实现负荷预测
  ☆17Updated 4 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。
  ☆201Updated 3 years ago
• gangweix / Stoch-predict-with-Tranformer-LSTM
  stock predict with MLP,CNN,RNN,LSTM,Transformer and Transformer-LSTM
  ☆276Updated 3 years ago
• ashrafalaghbari / GA-TCN-LSTM
  An Ensemble DL Model Tuned with Genetic Algorithm for Oil Production Forecasting.
  ☆73Updated 2 years ago
• litaolemo / Research
  使用ARIMA,Transformer,LSTM 对心跳时间序列数据进行预测
  ☆18Updated 2 years ago
• FateMurphy / CEEMDAN-VMD-GRU
  CEEMDAN-VMD-LSTM Forecasting model (a light version of CEEMDAN_LSTM)
  ☆100Updated 3 years ago
• taogeanton3 / Informer-1
  PyTorch实现的Informer (Informer:用于长序列时间序列预测
  ☆28Updated 3 years ago
• Corezcy / EEMD-LSTM-DO-Prediction
  EEMD、LSTM、time series prediction、DO、Deep Learning
  ☆89Updated 4 years ago
• WY-Lan / TSA-LSTM-and-PSO-LSTM
  Tree seed algorithm and Particle Swarm algorithm are used for searching the LSTM hyper parameters
  ☆11Updated 2 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
• JeCase / LoadElectricity_Forecasting_CNN-BiLSTM-Attention
  Performed comparative analysis of BiLSTM, CNN-BiLSTM and CNN-BiLSTM with attention models for forecasting cases.
  ☆47Updated 2 years ago
• HAlicia / LSTM-ANN-Time-Series-Prediction
  使用LSTM、ANN网络进行时间序列的多步预测。一般情况下机器学习算法在进行时间序列预测时采取一步预测的方法。该段代码将其拓展到多步预测的情形。主要改进在于数据的构建。LSTM and ANN are used to predict the time series. In …
  ☆16Updated 5 years ago
• Knight0111 / SSA-LSTM
  ☆26Updated 3 years ago
• FateMurphy / CEEMDAN_LSTM
  CEEMDAN_LSTM is a Python project for decomposition-integration forecasting models based on EMD methods and LSTM.
  ☆272Updated 6 months 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
• ArcherCYM / CEEMDAN-LSTM
  Paper-Reproduce: (ESWA) Forecasting the realized volatility of stock price index: A hybrid model integrating CEEMDAN and LSTM
  ☆68Updated last year
• Xiaoyi2001 / PSO-LSTM
  ☆31Updated 2 years ago
• ki-ljl / LSTM-Load-Forecasting
  Implementation of Electric Load Forecasting Based on LSTM(BiLSTM). Including Univariate-SingleStep forecasting, Multivariate-SingleStep f…
  ☆252Updated 3 years ago
• PatientEz / CNN-BiLSTM-Attention-Time-Series-Prediction_Keras
  CNN+BiLSTM+Attention Multivariate Time Series Prediction implemented by Keras
  ☆714Updated 5 years ago
• xingxiaoxuan / ssa-lstm
  ☆20Updated 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
• BatchClayderman / CEEMDAN-SE-GWO-LSTM
  ☆27Updated 8 months ago
• yunfei1218 / LSTM-Attention
  使用LSTM预测回归问题，使用注意力机制自动提取特征的重要程度。Using LSTM to predict regression problems, Attention mechanism is used to automatically extract the impor…
  ☆19Updated 5 years ago
• ChiYaoLa / TimeSeriesPredict
  used for Stock Prodiction&power prediction&Traffic prediction by ARIMA,xgboost,RNN,LSTM,TCN
  ☆113Updated 5 years ago