opendilab/DI-treetensor

Let DI-treetensor help you simplify the structure processing!(树形运算一不小心就逻辑混乱?DI-treetensor快速帮你搞定)

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DI-treetensor simplifies managing and performing calculations on data structured like a tree, where different parts can have their own properties. It takes in complex, hierarchical data and lets you apply mathematical operations or manipulations across the entire structure, outputting the transformed tree. This is for machine learning engineers and researchers who work with deep learning models involving nested data structures, like those in reinforcement learning or complex neural network architectures.

213 stars. Used by 1 other package. No commits in the last 6 months. Available on PyPI.

Use this if you are a deep learning practitioner dealing with multi-branch or hierarchical tensor data and find it cumbersome to manage operations across these nested structures using standard tensor libraries.

Not ideal if your data is flat or simply array-based and doesn't inherently possess a tree-like, nested organization.

deep-learning reinforcement-learning neural-networks hierarchical-data tensor-operations
Stale 6m
Maintenance 0 / 25
Adoption 11 / 25
Maturity 25 / 25
Community 6 / 25

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Stars

213

Forks

4

Language

Python

License

Apache-2.0

Last pushed

Oct 21, 2024

Commits (30d)

0

Dependencies

4

Reverse dependents

1

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