carpedm20/NTM-tensorflow

Health v2 · maintenance only

Flags: no_releases

Adoption not part of the score

1047 stars · 212 forks observed · 2026-08-28

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

A TensorFlow implementation of the Neural Turing Machine (NTM) architecture with an LSTM controller and support for multiple read/write heads. It includes training and testing scripts for tasks like the copy task, intended primarily as a reference implementation.

Use cases

• implement a neural turing machine in tensorflow
• train an NTM on a copy task
• study memory-augmented neural network architectures
• compare NTM implementations against the original torch code
• experiment with LSTM controllers and multiple read/write heads

When to choose

• you want a readable reference implementation of NTM in TensorFlow
• you are studying memory-augmented networks and want example code
• you need a starting point to fork and modify for research

When to avoid

• you need production-ready or well-maintained code
• you require variable-length NTM inputs, which the author says are poorly supported
• you need a modern TensorFlow 2.x or PyTorch implementation
• you cannot tolerate training instability such as NaN losses

Facets

library · maturity abandoned

machine-learning deep-learning machine-learning deep-learning python neural-turing-machine tensorflow lstm research-code jupyter-notebook

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markdown · JSON · MCP: product_card(name="carpedm20/NTM-tensorflow")