LongxingTan/Time-series-prediction
A TensorFlow library providing deep learning models for time series forecasting including Transformers, WaveNet, and seq2seq architectures.
Not currently ranked — collecting fresh signals.
star history
This repository provides a collection of deep learning model implementations for time series forecasting built on TensorFlow and Keras. It includes architectures such as Transformers, WaveNet, and seq2seq that are adapted for sequential prediction tasks. The library enables developers to construct and train neural network models for forecasting future values from historical time series data.
Frequently asked
- What is LongxingTan/Time-series-prediction?
- A TensorFlow library providing deep learning models for time series forecasting including Transformers, WaveNet, and seq2seq architectures.
- Is Time-series-prediction open source?
- Yes — LongxingTan/Time-series-prediction is open source, released under the MIT license.
- What language is Time-series-prediction written in?
- LongxingTan/Time-series-prediction is primarily written in Python.
- How popular is Time-series-prediction?
- LongxingTan/Time-series-prediction has 888 stars on GitHub.
- Where can I find Time-series-prediction?
- LongxingTan/Time-series-prediction is on GitHub at https://github.com/LongxingTan/Time-series-prediction.