Alternatives and similar repositories for timeSeries

Users that are interested in timeSeries are comparing it to the libraries listed below

• 634671436 / Air_Pollution_Forcast_Beijing
  基于Keras的LSTM多变量时间序列预测
  ☆182Updated 7 years ago
• Lorne0 / LSTNet_keras
  Keras version of LSTNet
  ☆96Updated 6 years ago
• wikke / TimeSeriesPrediction
  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 8 years ago
• zongfan2 / time_seires_prediction_using_lstm
  Time series prediction using LSTM classifier
  ☆284Updated 8 years ago
• jerry81333 / StockProdiction
  Stock Prodiction by SVM & ARIMA
  ☆212Updated 6 years ago
• fitzgerald0 / time_series_data_mining
  TensorFlow Probability；Time series model
  ☆127Updated 3 years ago
• Kanav123 / ArimaAnnHybrid
  Comparisons of ARIMA , ANN and a Hybrid model for Timeseries forecasting
  ☆53Updated 8 years ago
• zhaohuicici / Time-Series-Model
  时间序列理论和案例实践
  ☆72Updated 7 years ago
• zhangxu0307 / time-series-forecasting-keras
  time series forecasting using keras, inlcuding LSTM,RNN,MLP,GRU,SVR and multi-lag training and forecasting method, ICONIP2017 paper.
  ☆120Updated 6 years ago
• scarlettgin / cyclical_series_predict
  ☆84Updated 7 years ago
• lucasjinreal / LSTM_learn
  a implement of LSTM using Keras for time series prediction regression problem
  ☆225Updated 8 years ago
• PENGZhaoqing / TimeSeriesPrediction
  天池智慧交通预测挑战赛解决方案
  ☆506Updated 8 years ago
• yuchengle / Arima
  利用时间序列预测汽车销量
  ☆43Updated 6 years ago
• Jenniferz28 / Time-Series-ARIMA-XGBOOST-RNN
  Time series forecasting for individual household power prediction: ARIMA, xgboost, RNN
  ☆739Updated 6 years ago
• Maple728 / MTNet
  Tensorflow implementation of paper http://arxiv.org/abs/1809.02105
  ☆66Updated 5 years ago
• slydg / GRU_to_predict_timeseries
  使用pytorch搭建的循环神经网络在股票数据时间序列上的应用
  ☆108Updated 7 years ago
• iwuqing / Time-Series-Classification-based-on-KNN
  基于KNN聚类算法结合Dynamic Time Warping（动态时间调整）的时间序列分类
  ☆63Updated 6 years ago
• a-bean-sprout / XGBoost_StockPricePredict
  Attempt to use XGBoost in stock price prediction
  ☆90Updated 5 years ago
• EsmeYi / time-series-forcasting
  Using K-NN, SVM, Bayes, LSTM, and multi-variable LSTM models on time series forecasting
  ☆51Updated 6 years ago
• jia-zhuang / xgboost-lightgbm-hyperparameter-tuning
  Bayesian Optimization and Grid Search for xgboost/lightgbm
  ☆77Updated 8 months ago
• XiaowanLi2018 / TimeSeriesPrediction_BasedOnCNN
  BaseWavenet/Wavenet+ResidualBlock
  ☆16Updated 6 years ago
• chensvm / A-Dual-Stage-Attention-Based-Recurrent-Neural-Network-for-Time-Series-Prediction
  ☆117Updated 7 years ago
• zwd2016 / TG-LSTM-network-for-time-series-prediction
  This paper have been presented in the form of an oral presentation at the IJCNN-2019 conference. The title is "Transformation-gated LSTM…
  ☆30Updated 5 years ago
• arleigh418 / Paper-Implementation-DSTP-RNN-For-Stock-Prediction-Based-On-DA-RNN
  基於DA-RNN之DSTP-RNN論文試做(Ver1.0)
  ☆78Updated 5 years ago
• pinlank / kdxf2019top2
  2019科大讯飞工程机械赛题-亚军
  ☆39Updated 5 years ago
• huang027 / ARIMA
  时间序列ARIMA模型的销量预测
  ☆64Updated 7 years ago
• imhgchoi / ARIMA-LSTM-hybrid-corrcoef-predict
  Applied an ARIMA-LSTM hybrid model to predict future price correlation coefficients of two assets
  ☆421Updated 7 years ago
• arleigh418 / Base-On-Relation-Method-Extract-News-DA-RNN-Model-For-Stock-Prediction--Pytorch
  基於關聯式新聞提取方法之雙階段注意力機制模型用於股票預測
  ☆47Updated 5 years ago
• SimaShanhe / tsfresh-feature-translation
  [译]tsfresh特征提取工具可提取的特征
  ☆97Updated 6 years ago
• ThomasCai / tsfresh-feature-translation
  [译]tsfresh特征提取工具可提取的特征
  ☆53Updated 5 years ago