nicodjimenez/lstm resource

Health v2 · maintenance only

Flags: no_releases no_license

Adoption not part of the score

1900 stars · 659 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

A minimal, clean LSTM neural network implementation written from scratch in Python for learning purposes. It demonstrates LSTM training with backpropagation on a simple sequence prediction task.

Use cases

• understand how lstm networks work internally
• learn lstm backpropagation from scratch
• minimal lstm implementation example in python
• study sequence prediction with neural networks
• teaching recurrent neural network concepts
• starting point for building custom lstm variants

When to choose

• you want readable source code explaining lstm internals
• you are learning deep learning fundamentals and want a from-scratch implementation
• you need a small educational codebase to modify and experiment with

When to avoid

• you need a production-ready or efficient lstm implementation
• you want gpu acceleration or modern framework features
• you need maintained code with a license for commercial use

Facets

learning-resource · maturity maintenance

machine-learning deep-learning deep-learning education tutorials python lstm from-scratch educational neural-networks sequence-prediction

Member repositories

For agents

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