yangwohenmai/LSTM resource

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3678 stars · 785 forks observed · 2026-08-28

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

A Chinese-language tutorial collection of LSTM neural network examples for time series forecasting, built on TensorFlow and Keras. It covers data cleaning, feature extraction, modeling, and prediction through single-variable, multivariable, and multi-step forecasting examples.

Use cases

• learn LSTM for time series forecasting
• predict sales with LSTM in Keras
• multivariate time series prediction example
• multi-step forecasting with neural networks
• prepare time series data for supervised learning
• stock price prediction with LSTM

When to choose

• you want worked, step-by-step LSTM forecasting examples in Python
• you are learning TensorFlow/Keras for sequence prediction
• you need reference code for data preprocessing of time series

When to avoid

• you need a production-ready forecasting library
• you want maintained software with a license
• you need frameworks other than TensorFlow/Keras

Facets

learning-resource · maturity maintenance

machine-learning deep-learning data-science time-series machine-learning deep-learning tutorials python lstm time-series-forecasting keras tensorflow chinese-documentation tutorial-notebooks

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