# jrieke/traingenerator

🧙 A web app to generate template code for machine learning

Repository: https://github.com/jrieke/traingenerator
Canonical: https://ross.abutalabs.com/products/traingenerator
Homepage: https://traingenerator.jrieke.com
Language: Python
License: MIT
License Family: permissive
Topics: machine-learning, deep-learning, template, website, webapp, streamlit, pytorch, scikit-learn, sklearn, tensorflow, pytorch-ignite, machine-learning-tutorials, pytorch-lightning
Last push: 2023-08-23T08:35:09+00:00

## Health v2 (maintenance only)
Score: 32/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 0, release rhythm 35, longevity 100
- inputs: {"age_days": 2099, "days_push": 1106, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1381, forks 182 (observed 2026-08-28T04:04:33.959615+00:00)

## What it is
Traingenerator is a Streamlit-based web app that generates custom template code for machine learning projects with PyTorch and scikit-learn. Users configure preprocessing, model setup, training, and visualization options through a web UI and export the result as .py, Jupyter Notebook, or Google Colab files.

## Use cases
- generate boilerplate code for a pytorch image classification project
- create a machine learning training script template
- jumpstart an sklearn project with starter code
- export a training pipeline as a jupyter notebook or colab
- generate template code with tensorboard or comet.ml logging

## When to avoid
- you need templates for Keras/TensorFlow or PyTorch Lightning (not yet available)
- you need production-ready training code rather than a starting template
- you need an actively developed tool with recent updates

## Facets
- artifact type: application
- maturity: maintenance
- function: web-framework, machine-learning, templating
- domain: machine-learning, deep-learning, web-development, developer-tools
- platform: python, self-hosted
- tags: streamlit, pytorch, scikit-learn, tensorflow, code-templates, jupyter-notebook, google-colab, boilerplate-generator, code-generation, web-server

## Member repositories
- jrieke/traingenerator (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:04:33.959615+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 2026-08-30T04:40:10.864680+00:00, confidence not recorded.
  - readme: https://github.com/jrieke/traingenerator (fetched 2026-08-28T04:04:33.959615+00:00, sha c3f9472d5c75)
  - homepage: https://traingenerator.jrieke.com (fetched 2026-08-29T11:56:08.397452+00:00, sha cf73a040b7a7)
- Data as of 2026-08-30T08:39:29.467469+00:00.