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adventuresinML/adventures-in-ml-code resource

This repository holds all the code for the site http://www.adventuresinmachinelearning.com observed · 2026-08-28

github.com/adventuresinML/adventures-in-ml-code · Jupyter Notebook observed · 2026-08-28

Health v2 · maintenance only

32/100

  • Activity 0
  • Release rhythm 35
  • Longevity 100

Flags: no_releases no_license

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: 3455
  • days_rel: n/a
  • days_push: 1994
  • n_releases_24m: 0

Full methodology

Adoption not part of the score

1027 stars · 620 forks observed · 2026-08-28

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

A companion code repository for the Adventures in Machine Learning website, containing Python scripts and notebooks for deep learning tutorials. It covers neural networks, TensorFlow, Keras CNNs, word2vec embeddings, and Microsoft CNTK examples.

Use cases

  • learn neural networks from scratch with python code
  • tensorflow tutorial example code
  • build a cnn in keras
  • word2vec word embedding tutorial
  • learn deep learning fundamentals
  • cntk neural network example

When to choose

  • you are following the Adventures in Machine Learning blog tutorials and want the accompanying code
  • you want simple, self-contained scripts for learning neural network and TensorFlow basics

When to avoid

  • you need production-ready or maintained deep learning code
  • you require current TensorFlow 2.x or modern framework practices, as the code is dated and the project is inactive

Facets

learning-resource · maturity abandoned

machine-learning deep-learning nlp deep-learning machine-learning tutorials python tensorflow keras neural-networks word2vec tutorial-code jupyter-notebook natural-language-processing

1 source

Member repositories

RepositoryRoleHealth v2
adventuresinML/adventures-in-ml-codemain32

For agents

markdown · JSON · MCP: product_card(name="adventuresinML/adventures-in-ml-code")

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