# adventuresinML/adventures-in-ml-code

This repository holds all the code for the site http://www.adventuresinmachinelearning.com

Repository: https://github.com/adventuresinML/adventures-in-ml-code
Canonical: https://ross.abutalabs.com/products/adventures-in-ml-code
Language: Jupyter Notebook
License Family: other
Last push: 2021-03-18T22:48:08+00:00

## Health v2 (maintenance only)
Score: 32/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 0, release rhythm 35, longevity 100
- inputs: {"age_days": 3455, "days_push": 1994, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases, no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1027, forks 620 (observed 2026-08-28T04:03:16.868815+00:00)

## What it is
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
- artifact type: learning-resource
- maturity: abandoned
- function: machine-learning, deep-learning, nlp
- domain: deep-learning, machine-learning, tutorials
- platform: python
- tags: tensorflow, keras, neural-networks, word2vec, tutorial-code, jupyter-notebook, natural-language-processing

## Member repositories
- adventuresinML/adventures-in-ml-code (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:03:16.868815+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T07:07:51.322770+00:00, confidence not recorded.
  - readme: https://github.com/adventuresinML/adventures-in-ml-code (fetched 2026-08-28T04:03:16.868815+00:00, sha d41f57922898)
- Data as of 2026-08-30T08:39:29.467469+00:00.