Shypd.aiThe largest open index of AI toolsTime-series-prediction is an open-source Coding & Development tool that provides deep learning models for time series analysis in TensorFlow. It supports various tasks like prediction, classification, and anomaly detection with an easy-to-use package.
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TFTS (TensorFlow Time Series) is an open-source Python package designed for time series deep learning models, built on TensorFlow and Keras. It offers a comprehensive suite of classical and state-of-the-art deep learning methods for time series tasks, including prediction, classification, and anomaly detection. The tool is highly flexible, allowing users to train models with their own 3D data inputs, whether as NumPy arrays, TensorFlow datasets, or Keras sequences. It supports a variety of models such as seq2seq, wavenet, transformer, rnn, tcn, bert, dlinear, nbeats, informer, and autoformer. TFTS also enables customization, allowing users to build custom models by adding embeddings for categorical variables or custom head layers for specific tasks. It has demonstrated strong performance in competitions, with TFTS-Bert winning 3rd place in KDD Cup 2022 wind power forecasting and TFTS-Seq2seq securing 4th place in Tianchi-ENSO index prediction 2021.
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