# mrdbourke/pytorch-deep-learning

Materials for the Learn PyTorch for Deep Learning: Zero to Mastery course.

Repository: https://github.com/mrdbourke/pytorch-deep-learning
Canonical: https://ross.abutalabs.com/products/pytorch-deep-learning
Homepage: https://learnpytorch.io
Language: Jupyter Notebook
License: MIT
License Family: permissive
Topics: pytorch, machine-learning, deep-learning
Last push: 2026-02-11T11:11:15+00:00

## Health v2 (maintenance only)
Score: 62/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 67, release rhythm 35, longevity 100
- inputs: {"age_days": 1780, "days_push": 203, "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 18819, forks 5139 (observed 2026-08-28T04:11:27.160538+00:00)

## What it is
Open-source course materials for the 'Learn PyTorch for Deep Learning: Zero to Mastery' course, including Jupyter notebooks, an online book at learnpytorch.io, videos, slides, and exercises. It teaches deep learning fundamentals with PyTorch from beginner level through PyTorch 2.0.

## Use cases
- learn pytorch from scratch
- deep learning course for beginners
- pytorch tutorial with notebooks
- study neural networks with pytorch
- pytorch 2.0 introduction
- free deep learning course materials

## When to choose
- you are a beginner wanting a code-first, hands-on introduction to PyTorch and deep learning
- you prefer learning through notebooks, videos, and an online book with exercises
- you want free, well-maintained course material covering PyTorch fundamentals through 2.0

## When to avoid
- you need a production deep learning library or tool rather than educational material
- you are already an advanced practitioner seeking cutting-edge research techniques
- you want a framework-agnostic or non-PyTorch (e.g., TensorFlow/JAX) curriculum

## Facets
- artifact type: learning-resource
- maturity: active
- function: machine-learning, deep-learning, developer-tools
- domain: deep-learning, machine-learning, tutorials, education
- platform: python, cross-platform
- tags: pytorch, course, jupyter-notebooks, online-book, zero-to-mastery, neural-networks

## Member repositories
- mrdbourke/pytorch-deep-learning (main) score 62

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:11:27.160538+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 2026-08-29T17:01:17.120055+00:00, confidence not recorded.
  - readme: https://github.com/mrdbourke/pytorch-deep-learning (fetched 2026-08-28T04:11:27.160538+00:00, sha 61e371fec807)
  - homepage: https://learnpytorch.io (fetched 2026-08-29T07:59:15.861189+00:00, sha d0705e173d9f)
- Data as of 2026-08-30T08:39:29.467469+00:00.