gluon-api/gluon-api

Health v2 · maintenance only

Flags: no_releases archived no_license

Adoption not part of the score

2294 stars · 218 forks observed · 2026-08-28

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

Gluon API is a clear, concise, and efficient interface for building deep learning models with an imperative programming style, originally developed for Apache MXNet. The repository has been archived and is read-only, with no further development or maintenance.

Use cases

• define and train neural networks with imperative-style code
• learn deep learning through Gluon tutorials and notebooks
• prototype model architectures quickly
• build hybridized models that compile to symbolic graphs
• study a historical deep learning API design

When to choose

• you maintain legacy MXNet/Gluon code
• you want to study the Gluon API design or its tutorial notebooks
• you need a simple imperative interface for an existing MXNet setup

When to avoid

• you are starting a new deep learning project (the project is archived)
• you need active community support, bug fixes, or security updates
• you want GPU acceleration with modern hardware support
• you need a framework with a large ecosystem like PyTorch or TensorFlow

Facets

library · maturity abandoned

deep-learning machine-learning deep-learning machine-learning artificial-intelligence python cross-platform neural-networks imperative-programming mxnet archived tutorials

Member repositories

For agents

markdown · JSON · MCP: product_card(name="gluon-api/gluon-api")