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astorfi/TensorFlow-World resource

:earth_americas: Simple and ready-to-use tutorials for TensorFlow observed · 2026-08-28

github.com/astorfi/TensorFlow-World · Python · MIT (permissive) observed · 2026-08-28

Health v2 · maintenance only

23/100

  • Activity 0
  • Release rhythm 8
  • Longevity 100
How is this computed?

round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-03. Adoption (stars, forks) is never an input.

  • gap_med: n/a
  • age_days: 3449
  • days_rel: n/a
  • days_push: 2080
  • n_releases_24m: 0

Full methodology

Adoption not part of the score

4488 stars · 405 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded

A collection of simple, ready-to-use tutorials for TensorFlow, each with source code and accompanying documentation hosted in a wiki. It serves as a learning resource for deep learning with TensorFlow.

Use cases

  • learn tensorflow from scratch
  • tensorflow tutorials with code examples
  • deep learning tutorial repository
  • neural network examples in tensorflow
  • computer vision tutorials with tensorflow

When to choose

  • you are a beginner wanting structured TensorFlow tutorials
  • you prefer learning with runnable source code plus written explanations
  • you want MIT-licensed educational material to adapt

When to avoid

  • you need up-to-date coverage of TensorFlow 2.x features
  • you want production-ready code rather than teaching examples
  • you need actively maintained content (last release 2020)

Facets

learning-resource · maturity maintenance

machine-learning deep-learning computer-vision deep-learning machine-learning tutorials artificial-intelligence python tensorflow tutorials neural-networks educational

1 source

Member repositories

RepositoryRoleHealth v2
astorfi/TensorFlow-Worldmain23

For agents

markdown · JSON · MCP: product_card(name="astorfi/TensorFlow-World")

Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem