tqchen/tinyflow resource

Health v2 · maintenance only

Flags: no_releases archived

Adoption not part of the score

2017 stars · 364 forks observed · 2026-08-28

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

TinyFlow is a minimal (~2k lines) educational deep learning system built on NNVM that demonstrates how to construct a computational graph-based framework with a TensorFlow-like API. It uses Torch7 for operator execution and serves as course material for teaching deep learning system internals.

Use cases

• learn how to build a deep learning framework from scratch
• teach a course on deep learning system design
• study automatic differentiation and computational graphs
• experiment with operator fusion and memory allocation in a DL system
• use as a research testbed for DL system components
• understand intermediate representations like NNVM

When to choose

• you want a small, readable codebase to learn DL system internals
• you are teaching or taking a course on building deep learning systems
• you need a minimal experimental bed for DL system research

When to avoid

• you need a production-ready deep learning framework
• you want extensive operator coverage or ecosystem support
• you need active maintenance and community support

Facets

learning-resource · maturity maintenance

deep-learning machine-learning compiler interpreter deep-learning machine-learning education tutorials cpp lua deep-learning-system computational-graph nnvm educational minimal-implementation autodiff gpu-computing computational-graphs linux macos

Member repositories

For agents

markdown · JSON · MCP: product_card(name="tqchen/tinyflow")