jaungiers/LSTM-Neural-Network-for-Time-Series-Prediction resource

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5215 stars · 1961 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded

A Keras/TensorFlow implementation of an LSTM neural network for predicting time series steps and sequences, with sine wave and stock market (S&P 500) example datasets. It accompanies an article and video tutorial explaining LSTM mechanics and usage.

Use cases

• learn how LSTMs predict time series
• example code for sequence prediction with Keras
• forecast stock prices with an LSTM
• tutorial on LSTM deep neural networks
• starting point for time series forecasting projects

When to choose

• you want a well-explained, minimal LSTM time series example with article and video support
• you need sample code and datasets (sine wave, stock data) to learn sequence prediction

When to avoid

• you need a production-ready or maintained forecasting library
• you require recent TensorFlow/Keras versions - the code targets old versions (TF 1.10, Keras 2.2.2)

Facets

learning-resource · maturity maintenance

machine-learning deep-learning machine-learning time-series tutorials python lstm keras time-series-forecasting tensorflow example-code

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