# spro/practical-pytorch

Go to https://github.com/pytorch/tutorials - this repo is deprecated and no longer maintained

Repository: https://github.com/spro/practical-pytorch
Canonical: https://ross.abutalabs.com/products/practical-pytorch
Language: Jupyter Notebook
License: MIT
License Family: permissive
Topics: natural-language-processing, natural-language-generation, nlp, nlg, seq2seq
Archived: true
Last push: 2021-07-01T04:34:00+00:00

## Health v2 (maintenance only)
Score: 10/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 0, release rhythm 35, longevity 100
- inputs: {"age_days": 3511, "days_push": 1889, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases, archived
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 4539, forks 1083 (observed 2026-08-28T04:08:53.103682+00:00)

## What it is
A collection of project-based Jupyter notebook tutorials for learning PyTorch, focused on recurrent neural networks for NLP tasks like classification, generation, and seq2seq translation. It is deprecated and merged into the official PyTorch tutorials repository.

## Use cases
- learn pytorch with hands-on notebooks
- character-level rnn text classification tutorial
- seq2seq translation with attention example
- char-rnn text generation in pytorch
- word vectors with glove tutorial

## When to choose
- you want readable, project-based introductions to RNNs in PyTorch
- you are following a course or blog post that references these notebooks

## When to avoid
- you need tutorials compatible with modern PyTorch versions
- you want actively maintained learning material
- you need transformer-based or current NLP techniques

## Facets
- artifact type: learning-resource
- maturity: abandoned
- function: machine-learning, nlp, deep-learning
- domain: deep-learning, tutorials
- platform: python, cross-platform
- tags: pytorch, rnn, seq2seq, jupyter-notebooks, deprecated, natural-language-processing

## Member repositories
- spro/practical-pytorch (main) score 10

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:08:53.103682+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 2026-08-29T18:20:10.276461+00:00, confidence not recorded.
  - readme: https://github.com/spro/practical-pytorch (fetched 2026-08-28T04:08:53.103682+00:00, sha 7278173f8044)
- Data as of 2026-08-30T08:39:29.467469+00:00.