PyTorchKR/tutorials-kr: A Korean Translation Fork of the PyTorch Tutorials
🇰🇷파이토치에서 제공하는 튜토리얼의 한국어 번역을 위한 저장소입니다. (Translate PyTorch tutorials in Korean🇰🇷)
At a glance
- What is it?
- This repository holds Korean translations of the PyTorch tutorials, published at tutorials.pytorch.kr and pinned to a specific upstream commit. It is a documentation project, not a library, and its release tags exist to snapshot a translated state rather than to ship code.
- Who is it for?
- Adopt this repository if you need Korean-language PyTorch tutorial text and you are willing to work against a pinned upstream commit, or if you want to contribute translation review. Do not adopt it as a dependency or expect it to track pytorch/tutorials continuously, because the README states the site is updated irregularly and the current target is pytorch/tutorials@c4d9d93 for PyTorch v2.8.
- Can I use it commercially?
- Yes. BSD-3-Clause is a permissive licence: you can use, modify and sell software built on it, as long as you keep its copyright and licence notices.
- Is it still maintained?
- Yes. The repository last received commits 49 days ago.
- What is it written in?
- Mainly Jupyter Notebook, according to GitHub's language statistics.
Answers come from the project's GitHub data, last synced on September 15, 2026, and from our analysis. They are not legal advice.
DEEP OPEN-SOURCE ANALYSIS
What tutorials-kr translates, and for whom
The repository is a Korean translation of the tutorials published by PyTorch. Its stated output is the site tutorials.pytorch.kr, and the README notes that translation results are reflected there irregularly (the Korean text says 비정기적으로, non-periodic). That single word sets expectations for the whole project: this is not a mirror that syncs on merge, it is a translation effort that lands in batches.
The audience is narrow and specific. It is for Korean-speaking developers learning PyTorch who would rather read tutorial prose in Korean than in English, and for translators who want a structured way to contribute to Korean documentation. The README lists three contribution routes: fixing typos and improving existing translations, translating tutorials that have no Korean version yet, and reviewing pull requests that contain translations. The third route carries a star marker in the README and an explicit request for more reviewers, which tells you where the maintainers think the bottleneck is. Writing a translation is a solo task; validating one requires a second person who reads both languages and knows the framework.
The upstream commit pin is the core design decision
The README states that translation is currently underway against PyTorch v2.8 tutorials, at pytorch/tutorials commit c4d9d93. That pin is the mechanism that makes the project tractable. PyTorch tutorials change continuously upstream; a translation project that tried to follow every commit would spend its time rebasing Korean prose onto reworded English paragraphs. By naming a commit, the project converts an open-ended sync problem into a bounded one: translate what exists at c4d9d93, and treat later upstream changes as a separate decision.
The cost of that choice is visible in the version table. Before PyTorch v1.0, translations lived in separate repositories (tutorials-kr-0.4 and tutorials-kr-0.3.1), and the README says those are no longer being translated. From v1.0 onward the project stopped using separate repositories and moved to releases inside this one. Older translated versions are therefore frozen artifacts, not maintained branches. If you are teaching PyTorch 0.4, the material exists but nobody is updating it.
The release naming encodes the same idea. A tag like 1.9-base marks the release at the start of work on that version, and 1.9-latest marks the last release for it. The recent releases listed for this repository follow that pattern: 2.8.0-base, 2.3.1-latest, and 2.3.1-base. Note the ordering: 2.8.0-base is dated later than 2.3.1-latest, which is consistent with 2.3.1 being a closed line and 2.8.0 being the line currently in progress. A reader who wants the finished v2.3.1 translation should take 2.3.1-latest, not 2.3.1-base.
Getting the docs running on your machine
The README does not reproduce the build steps inline. It points to CONTRIBUTING.md, specifically section 2-5, titled (in Korean) checking the result on your own computer. That section is the authoritative place for the build procedure, and it is the first thing to open if you intend to render the docs locally.
What the README does establish about the workflow: releases contain the documentation for a given version, and you download the release and build it to view that version's docs. So the path is release tag, then local build, then browse. The repository is predominantly Jupyter Notebook, with reStructuredText and Sphinx tooling named in the topics, which matches the upstream PyTorch tutorials setup where notebooks are converted into Sphinx pages. The topics list also includes sphinx-doc and restructuredtext, so the build is a Sphinx build over converted notebook sources.
For contributors, the practical entry points are the CONTRIBUTING.md file in the repository root and issue #972, which the README names as the place to track translation and change issues for the current version. If you are picking up an untranslated tutorial, issue #972 is where the current state of the effort is being coordinated. If you are reviewing, the open pull requests on the repository are the queue.
Where this repository is the wrong tool
The most obvious failure mode is version skew, and the project is explicit about it. The site is updated irregularly, and the translation target is a fixed upstream commit. If you need the newest PyTorch tutorial content in Korean on the day it appears upstream, this repository will not give it to you. You will get the state of the translation at whatever point the maintainers last pushed, which may lag the English tutorials by a version or more.
A second limitation follows from the release model. Because finished versions are snapshots rather than maintained branches, a translation error found in an older version is unlikely to be fixed there. The fix lands on the current line. If you depend on a specific old translation for a course, you are depending on a frozen document.
There is also a structural constraint on review. The README asks for reviewers with visible emphasis, which is a signal that the review step, not the translation step, limits throughput. A translation PR that sits unreviewed is not useful to anyone, and a project that depends on volunteer bilingual reviewers cannot promise a turnaround time. None of this is a defect in the code, because there is no code to speak of. It is a limitation of what a volunteer translation repository can guarantee.
How it compares to reading pytorch/tutorials directly
The alternative is the upstream pytorch/tutorials repository and the pytorch.org/tutorials site, which the README itself points to for the latest English version. The difference in approach is not quality of content, since the Korean text is derived from the English text. The difference is freshness and coverage.
Upstream is the source of truth and is always current. It also carries the full set of tutorials, whereas this repository carries the subset that has been translated, plus whatever is in flight. Choosing upstream means accepting English prose; choosing this repository means accepting a lag and a partial catalog in exchange for Korean prose. For a Korean reader who reads English comfortably, upstream is strictly better on both axes. For a reader who does not, the trade is worth making, provided the tutorial they need has actually been translated.
There is a second alternative worth naming: machine translation of the upstream pages. It is faster and always current, and it is also unedited. The value this project adds over that is human review, which is exactly the step the README says is short on hands. That is the honest pitch for contributing here. You are not adding coverage that does not exist elsewhere; you are adding a reviewed Korean rendering of it.
Maintenance cost, licensing, and what to check first
The maintenance burden for a user of this repository is close to zero, because it is documentation rather than a dependency. You do not install it, you do not pin it in a requirements file, and you do not get security updates from it. The cost sits with the maintainers and contributors: keeping the translation aligned with a moving upstream, and reviewing incoming pull requests. The release cadence visible in the tags (2.3.1-base in June 2024, 2.3.1-latest and 2.8.0-base in October 2025) suggests long gaps between translation milestones rather than a steady flow.
On licensing, the README states that the Korean tutorials follow the license of the original tutorials, which it identifies as BSD-3-Clause, and it points to the LICENSE file for details. The repository metadata also lists BSD-3-Clause. If you redistribute translated tutorial text, the BSD-3-Clause terms and the upstream attribution expectations are the things to read in the LICENSE file itself. This is a description of what the repository says, not legal advice.
Before adopting it for a course or an internal guide, verify three things. First, that the specific tutorial you need has a Korean translation at all, since coverage is partial. Second, which release tag matches the PyTorch version you are teaching against, using the base and latest convention. Third, that you can actually build the docs from that release by following CONTRIBUTING.md section 2-5, because the README delegates the entire build procedure there and does not restate it. If those three checks pass, the repository does what it claims. If the tutorial you need is untranslated, the honest move is to open a pull request or a review, since issue #972 is where the current work is tracked.
Editorial conclusion
Adopt this repository if you need Korean-language PyTorch tutorial text and you are willing to work against a pinned upstream commit, or if you want to contribute translation review. Do not adopt it as a dependency or expect it to track pytorch/tutorials continuously, because the README states the site is updated irregularly and the current target is pytorch/tutorials@c4d9d93 for PyTorch v2.8. Before relying on it, check which release tag corresponds to the version you teach against, and read CONTRIBUTING.md section 2-5 to confirm you can build the docs locally.
Community notes