tensorflow/fold

Health v2 · maintenance only

Flags: no_releases archived

Adoption not part of the score

1815 stars · 262 forks observed · 2026-08-28

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

TensorFlow Fold is a Python library for building TensorFlow models that consume structured data, where the computation graph structure depends on the input. It implements dynamic batching, transforming batches of arbitrarily shaped graphs into a single static graph for efficient execution.

Use cases

• build treelstm models for sentiment analysis on parse trees
• train recursive neural networks over arbitrary tree structures
• run deep learning models on variable-sized structured inputs
• batch differently shaped computation graphs efficiently in tensorflow
• process hierarchical data like parse trees with neural networks

When to choose

• you need dynamic computation graphs over tree-structured data in tensorflow 1.x
• you want to implement recursive neural networks with efficient batching

When to avoid

• you use modern tensorflow 2.x or pytorch, which support dynamic graphs natively
• you need an actively maintained library - the last release was 2021 and the project is inactive

Facets

library · maturity abandoned

deep-learning machine-learning deep-learning machine-learning python tensorflow dynamic-computation-graphs dynamic-batching recursive-neural-networks treelstm structured-data natural-language-processing

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markdown · JSON · MCP: product_card(name="tensorflow/fold")