# lyhue1991/eat_pytorch_in_20_days

Pytorch🍊🍉   is delicious, just eat it! 😋😋

Repository: https://github.com/lyhue1991/eat_pytorch_in_20_days
Canonical: https://ross.abutalabs.com/products/eat_pytorch_in_20_days
Language: Jupyter Notebook
License: Apache-2.0
License Family: permissive
Topics: pytorch, deep-learning
Last push: 2025-02-25T01:48:23+00:00

## Health v2 (maintenance only)
Score: 36/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 8, release rhythm 35, longevity 100
- inputs: {"age_days": 2258, "days_push": 555, "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 6157, forks 1244 (observed 2026-08-28T04:09:36.702311+00:00)

## What it is
A Chinese-language PyTorch tutorial book structured as a 20-day learning plan of Jupyter notebooks, from modeling workflows to low-, mid-, and high-level APIs. It doubles as a practical example reference for engineering use.

## Use cases
- learn pytorch from scratch in 20 days
- find pytorch code examples for structured data, images, text, and time series
- understand tensors, autograd, and dynamic computation graphs
- reference for Dataset, DataLoader, loss functions, and model layers
- migrate from keras or tensorflow to pytorch
- use as a pytorch cookbook when building models

## When to choose
- you want a beginner-friendly, example-driven pytorch introduction
- you prefer structured daily learning plans with runnable notebooks
- you need a quick-reference example library for pytorch APIs

## When to avoid
- you need official or exhaustive API documentation
- you want advanced topics like distributed training or production deployment
- you cannot read Chinese and machine translation is not acceptable

## Facets
- artifact type: learning-resource
- maturity: stable
- function: deep-learning, machine-learning, developer-tools
- domain: deep-learning, machine-learning, tutorials
- platform: python, cross-platform
- tags: pytorch, tutorial, jupyter-notebook, chinese, beginner-friendly, 20-days

## Member repositories
- lyhue1991/eat_pytorch_in_20_days (main) score 36

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:09:36.702311+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 2026-08-29T17:47:29.728253+00:00, confidence not recorded.
  - readme: https://github.com/lyhue1991/eat_pytorch_in_20_days (fetched 2026-08-28T04:09:36.702311+00:00, sha dbf2297bd508)
- Data as of 2026-08-30T08:39:29.467469+00:00.