timeseries-rnn

Time-series forecasting with 1D Conv model, RNN (LSTM) model and Transformer model. Comparison of long-term and short-term forecasts using synthetic timeseries. Sequence-to-sequence formulation.

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40 Stars

8 Forks

40 Watchers

Jupyter Notebook Language

apache-2.0 License

100 SrcLog Score

Cost to Build

$31.6K

Market Value

$42.2K

How is this calculated?

Growth over time

6 data points · 2021-11-01 → 2026-04-01

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What is the rsyamil/timeseries-rnn GitHub project? Description: "Time-series forecasting with 1D Conv model, RNN (LSTM) model and Transformer model. Comparison of long-term and short-term forecasts using synthetic timeseries. Sequence-to-sequence formulation.". Written in Jupyter Notebook. Explain what it does, its main use cases, key features, and who would benefit from using it.

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git clone https://github.com/rsyamil/timeseries-rnn.git

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Download master.zip

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