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jostmey/NakedTensor resource

Bare bone examples of machine learning in TensorFlow observed · 2026-08-28

github.com/jostmey/NakedTensor · Python · Apache-2.0 (permissive) observed · 2026-08-28

Health v2 · maintenance only

32/100

  • Activity 0
  • Release rhythm 35
  • Longevity 100

Flags: no_releases

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: 3646
  • days_rel: n/a
  • days_push: 3459
  • n_releases_24m: 0

Full methodology

Adoption not part of the score

2405 stars · 144 forks observed · 2026-08-28

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

A set of bare-bones TensorFlow example scripts that teach the fundamentals by fitting a straight line to data using gradient descent. It progresses from serial computation to tensor-based parallelism to stochastic gradient descent on millions of datapoints.

Use cases

  • learn tensorflow basics from scratch
  • understand how gradient descent fits a line
  • see the difference between serial and tensor-based computation
  • learn how placeholders feed data in tensorflow
  • example of stochastic gradient descent on big data
  • simple tensorflow tutorial for beginners

When to choose

  • you are new to TensorFlow and want the simplest possible introduction
  • you want to understand how TensorFlow models are constructed step by step
  • you want a minimal example of stochastic gradient descent with placeholders

When to avoid

  • you need production-ready machine learning code
  • you use TensorFlow 2.x since these examples target the legacy 1.x API
  • you need advanced models beyond linear regression

Facets

learning-resource · maturity abandoned

machine-learning benchmarking machine-learning tutorials big-data python tensorflow tutorial linear-regression gradient-descent stochastic-gradient-descent educational

1 source

Member repositories

RepositoryRoleHealth v2
jostmey/NakedTensormain32

For agents

markdown · JSON · MCP: product_card(name="jostmey/NakedTensor")

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