# amrzv/awesome-colab-notebooks

Collection of google colaboratory notebooks for fast and easy experiments

Repository: https://github.com/amrzv/awesome-colab-notebooks
Canonical: https://ross.abutalabs.com/products/awesome-colab-notebooks
Language: Python
License: MIT
License Family: permissive
Topics: colab-notebooks, machine-learning, deep-learning, generative-adversarial-network, tensorflow, tensorflow-tutorials, jupyter-notebooks, google-colaboratory, google-colab, google-colab-tutorial, google-colabs, google-colab-notebooks, google-colab-notebook, deep-neural-networks, pytorch, cnn
Last push: 2026-08-06T12:47:58+00:00

## Health v2 (maintenance only)
Score: 75/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 96, release rhythm 35, longevity 100
- inputs: {"age_days": 2075, "days_push": 27, "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 1655, forks 276 (observed 2026-08-28T04:05:17.880338+00:00)

## What it is
A curated collection of Google Colaboratory notebooks for machine learning and deep learning experiments. It aggregates links to Colab notebooks covering TensorFlow, PyTorch, GANs, CNNs, and other ML topics for fast, free GPU-based experimentation.

## Use cases
- find colab notebooks for machine learning experiments
- learn deep learning with free gpu notebooks
- get started with tensorflow in google colab
- find pytorch tutorial notebooks
- experiment with gans without a local gpu
- discover curated jupyter notebooks for ml

## When to choose
- you want ready-to-run ML notebooks on free Google Colab GPUs
- you are learning TensorFlow, PyTorch, or deep learning concepts hands-on
- you need quick experiments without setting up a local environment

## When to avoid
- you need production ML code or maintained libraries rather than notebook links
- you work offline or cannot use Google Colab
- you need guaranteed up-to-date notebooks for a specific framework version

## Facets
- artifact type: learning-resource
- maturity: active
- function: machine-learning, deep-learning, developer-tools
- domain: machine-learning, deep-learning, tutorials, awesome-lists
- platform: python
- tags: google-colab, jupyter-notebooks, curated-list, pytorch, tensorflow, gan, web-server

## Member repositories
- amrzv/awesome-colab-notebooks (main) score 75

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:05:17.880338+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 2026-08-30T03:44:51.768826+00:00, confidence not recorded.
  - readme: https://github.com/amrzv/awesome-colab-notebooks (fetched 2026-08-28T04:05:17.880338+00:00, sha 1e4b9be7409e)
- Data as of 2026-08-30T08:39:29.467469+00:00.