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Hongsun's Blog - fork from Demo

Hello, I'm hongsun who likes to eat noodels.


๋งจ๋‚  ๊นŒ๋จน์–ด์„œ ์ ๋Š” ์ •๋ฆฌ

  • _config.yml ํŒŒ์ผ์„ ์ˆ˜์ •ํ•˜๋ฉด ๋œ๋‹ค.

  • ์‹คํ–‰์€

bundle exec jekyll serve
  • ๋ชฉ์ฐจ๋ฅผ ์ถ”๊ฐ€ํ•˜๊ณ  ์‹ถ์œผ๋ฉด nav.html์„ ์ˆ˜์ •ํ•˜๊ณ  root ํด๋”์— html ํŒŒ์ผ์„ ์ถ”๊ฐ€ํ•ด์•ผํ•จ. ๋ชฉ์ฐจ ์ถ”๊ฐ€์‹œ title: blog๋กœ ๊ณ ์ • ์ ˆ๋Œ€ ๋ฐ”๊พธ์ง€ ๋ง๊ฒƒ

Setup

  1. โญ to the project. ๐Ÿค˜
  2. Fork the project Indigo
  3. Edit _config.yml with your data (check settings section)
  4. Write some posts :bowtie:

If you want to test locally on your machine, do the following steps also:

  1. Install Jekyll and Bundler.
  2. Clone the forked repo on your machine
  3. Enter the cloned folder via terminal and run bundle install
  4. Then run bundle exec jekyll serve
  5. Open it in your browser: http://localhost:4000
  6. Do you want an admin panel to edit your posts? You can install this plugin jekyll-admin.

Settings

You must fill some informations on _config.yml to customize your site.

name: John Doe
bio: 'A Man who travels the world eating noodles'
picture: 'assets/images/profile.jpg'
...

and lot of other options, like width, projects, pages, read-time, tags, related posts, animations, multiple-authors, etc.

What has inside

FAQ

Check the FAQ if you have any doubt or problem.


License

MIT License ยฉ Sรฉrgio Kopplin

Hongsun_Jang's Projects

flexgen icon flexgen

Running large language models on a single GPU for throughput-oriented scenarios.

gcod_ icon gcod_

[HPCA 2022] GCoD: Graph Convolutional Network Acceleration via Dedicated Algorithm and Accelerator Co-Design

hi-nest icon hi-nest

Learning Nestjs by making enterprise PAI

notion_widgets icon notion_widgets

A set of HTML widgets that could be embedded into Notion.so https://www.notion.so/ pages. For more see https://blog.shorouk.dev/notion-widgets-gallery/

pipe-bd icon pipe-bd

[DATE 2023] Pipe-BD: Pipelined Parallel Blockwise Distillation

proxylessnas icon proxylessnas

[ICLR 2019] ProxylessNAS: Direct Neural Architecture Search on Target Task and Hardware

vllm icon vllm

A high-throughput and memory-efficient inference and serving engine for LLMs

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