Alternatives and similar repositories for LSTM-SVM-RF-time-series:

Users that are interested in LSTM-SVM-RF-time-series are comparing it to the libraries listed below

• 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
  ☆80Updated 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…
  ☆44Updated 4 years ago
• 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…
  ☆260Updated last year
• 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…
  ☆75Updated 6 years ago
• Tuniverj / Pytorch-lstm-forecast
  基于pytorch搭建多特征LSTM时间序列预测
  ☆163Updated 2 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…
  ☆161Updated 4 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)
  ☆55Updated 4 years ago
• Corezcy / EEMD-LSTM-DO-Prediction
  EEMD、LSTM、time series prediction、DO、Deep Learning
  ☆85Updated 3 years ago
• koi-boy / CNN-LSTM-Attention
  CNN+LSTM+Attention predict stock
  ☆45Updated 2 years ago
• taogeanton3 / Informer-1
  PyTorch实现的Informer (Informer:用于长序列时间序列预测
  ☆22Updated 2 years ago
• yangwohenmai / TimeSeriesForecasting
  基于统计学的时间序列预测(AR,ARM).
  ☆263Updated 4 years ago
• oubahe / GSA-PSO-SVR
  一种有效的电力负荷预测方法
  ☆60Updated 5 years ago
• dukuanbing / bpnn-stock-price-prediction
  使用bp神经网络预测股票价格。BP neural network is used to predict the stock price.
  ☆35Updated 4 years ago
• Knight0111 / SSA-LSTM
  ☆24Updated 2 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
  ☆16Updated 3 years ago
• xingxiaoxuan / ssa-lstm
  ☆18Updated 3 years ago
• Xiaoyi2001 / PSO-LSTM
  ☆29Updated last year
• ping86776 / LSTM_prediction
  基于LSTM的预测模型，支持多维数据的预测
  ☆14Updated 6 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。
  ☆187Updated 2 years ago
• sksujan58 / Multivariate-time-series-forecasting-using-LSTM
  ☆247Updated last year
• FateMurphy / CEEMDAN-VMD-GRU
  CEEMDAN-VMD-LSTM Forecasting model (a light version of CEEMDAN_LSTM)
  ☆89Updated 2 years ago
• cxdsz / stock-price-prediction-algorithms
  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
• RobinLuoNanjing / air_pollutants_prediction_lstm
  This is a project for predicting air pollutants in London by time series model, including lstm, bilstm, Convlstm, attention lstm, lightGB…
  ☆142Updated 4 years ago
• litaolemo / Research
  使用ARIMA,Transformer,LSTM 对心跳时间序列数据进行预测
  ☆16Updated last year
• ru0nan / Queuing-system-optimization
  GA，PSO，LSTM...
  ☆23Updated 6 years ago
• yuchengle / Arima
  利用时间序列预测汽车销量
  ☆38Updated 6 years ago
• ohMyJason / time_series_prediction
  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
  ☆14Updated 5 years ago
• 23miya / -LSTM-
  基于 LSTM 循环神经网络的电力系统负荷预测分析。建立 CART 回归树以及 LSTM 模型对该地区未来 10 天间隔 15 分钟负荷以及未来 3 个月负荷最大最小值进行预测。将行业数据分为大工业用电最大值、大工业用电最小 值；非普工业最大值、非普工业最小值；普通工业最大…
  ☆34Updated last year
• huang027 / ARIMA
  时间序列ARIMA模型的销量预测
  ☆62Updated 6 years ago
• WuZK96 / X12-ARIMA-ICEEMDAN-FCM-FTS
  ☆25Updated 3 years ago