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Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
LSTM built using Keras Python package to predict time series steps and sequences. Includes sin wave and stock market data
| Date | Stars |
|---|---|
| 2026-07-31 | 5212 |
| 2026-08-01 | 5212 |
| 2026-08-02 | 5212 |
| 2026-08-05 | 5212 |
| 2026-08-06 | 5211 |
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# LSTM Neural Network for Time Series Prediction LSTM built using the Keras Python package to predict time series steps and sequences. Includes sine wave and stock market data. [Full article write-up for this code](https://www.altumintelligence.com/articles/a/Time-Series-Prediction-Using-LSTM-Deep-Neural-Networks) [Video on the workings and usage of LSTMs and run-through of this code](https://www.youtube.com/watch?v=2np77NOdnwk) ## Requirements Install requirements.txt file to make sure correct versions of libraries are being used. * Python 3.5.x * TensorFlow 1.10.0 * Numpy 1.15.0 * Keras 2.2.2 * Matplotlib 2.2.2 Output for sine wave sequential prediction:  Output for stock market multi-dimensional multi-sequential predictions: 
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matched fp:137df79101f69774, llm:Description: 'LSTM built using Keras Python package to predict time series steps and sequences. Includes sin wave and stock market data'
matched fp:137df79101f69774, llm:Description: 'LSTM built using Keras Python package to predict time series steps and sequences. Includes sin wave and stock market data'