Find Chinese-language reading material on machine learning, deep learning, and distributed systems.
Read the Chinese translation of the node-mysql documentation.
Use the chapter files as a study syllabus for Go, PostgreSQL, or database internals.
Submit a PR to add a new resource or correct a mis-attributed article.
| ty4z2008/qix | tracel-ai/burn | cryptomator/cryptomator | |
|---|---|---|---|
| Stars | 15,110 | 15,112 | 15,105 |
| Language | — | Rust | Java |
| Setup difficulty | easy | hard | easy |
| Complexity | 1/5 | 5/5 | 3/5 |
| Audience | developer | researcher | general |
Figures from each repo's GitHub metadata at analysis time.
Nothing to install, the repo is markdown files with external links.
Qix is a personal collection of learning links and translated documentation, maintained by a developer who goes by Liao Jun on Weibo and Twitter. The repository is a curated index, not a software project. It points readers to articles, papers, and other resources covering a handful of technical topics that the author has been studying, and the GitHub description lists machine learning, deep learning, PostgreSQL, distributed systems, Node.js, and Go as the areas of interest. The content is split into a few categories. There are chapters on machine learning and deep learning resources (in two parts, dl.md and dl2.md), a chapter on the Go programming language, a chapter on PostgreSQL, a chapter on distributed systems, and a chapter on database systems in general. Each of these is a separate markdown file inside the repo that the README links out to. The links inside those files point to outside articles and reading material rather than to code held in this repository. One section of the repository is a translation effort. The author has translated the official documentation for node-mysql, which is a MySQL client for Node.js, from English into Chinese. The README links both to the original document on the node-mysql GitHub page and to the Chinese version, which lives inside this same repository at node.md. The README also includes a short About Me section with contact details for Weibo, Twitter, email, and a Telegram channel called Scale System. The author invites contributions through pull requests, and asks readers to file an issue if they spot incorrect attribution for any of the linked resources, since some of the original articles may have been mis-credited. The author notes that some information in the linked articles may be inaccurate, and welcomes corrections. The project is released under the MIT License. There is no code to install or run, no build steps, and no application output: the repository is a reading list, and the work is the curation itself.
A curated reading list of links and translated docs covering machine learning, deep learning, Go, PostgreSQL, distributed systems, and Node.js, maintained by one developer.
MIT license, so you can copy, modify, and redistribute the curated content as long as you keep the copyright notice.
Setup difficulty is rated easy, with roughly 5min to a first successful run.
Mainly developer.
This repo across BitVibe Labs
double-check against the repo, no cap.