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I never expect this becomes popular.

Getting Started

  1. You will need Ruby and Bundler to use Jekyll. Following Using Jekyll with Bundler to fullfill the enviromental requirement.

  2. Installed dependencies in the Gemfile:

$ bundle install 
  1. Serve the website (localhost:4000 by default):
$ bundle exec jekyll serve  # alternatively, npm start

Development (Build From Source)

To modify the theme, you will need Grunt. There are numbers of tasks you can find in the Gruntfile.js, includes minifing JavaScript, compiling .less to .css, adding banners to keep the Apache 2.0 license intact, watching for changes, etc.

Yes, they were inherited and are extremely old-fashioned. There is no modularization and transpilation, etc.

Critical Jekyll-related code are located in _include/ and _layouts/. Most of them are Liquid templates.

This theme uses the default code syntax highlighter of jekyll, Rouge, which is compatible with Pygments theme so just pick any pygments theme css (e.g. from here and replace the content of highlight.less.

Interesting to know more? Checkout the full user manual!

Other Resources

Ports

Starter/Boilerplate

  • Out of date. Helps wanted for updating it on par with the main repo

Translation

License

Apache License 2.0. Copyright (c) 2015-present Huxpro

Hux Blog is derived from Clean Blog Jekyll Theme (MIT License) Copyright (c) 2013-2016 Blackrock Digital LLC.

Wansoo Kim's Projects

addons icon addons

Useful extra functionality for TensorFlow 2.x maintained by SIG-addons

autoencoders-tensorflow2 icon autoencoders-tensorflow2

🚒 Simple implementations of various popular Deep Reinforcement Learning algorithms using TensorFlow2

awesome-hpo icon awesome-hpo

😎 Awesome lists about hyperparameter optimization

board icon board

nodejs board for learn nodejs

claf icon claf

CLaF: Open-Source Clova Language Framework

community icon community

Stores documents used by the TensorFlow developer community

community-1 icon community-1

Information about the Kubeflow community including proposals and governance information.

convnets-tensorflow2 icon convnets-tensorflow2

⛡️ Implementation a variety of popular Image Classification Models using TensorFlow2. [ResNet, GoogLeNet, VGG, Inception-v3, Inception-v4, MobileNet, MobileNet-v2, ShuffleNet, ShuffleNet-v2, etc...]

daft icon daft

Code for the NeurIPS 2019 paper: "Learning Dynamics of Attention: Human Prior for Interpretable Machine Reasoning"

dask icon dask

Parallel computing with task scheduling

deeprl-tensorflow2 icon deeprl-tensorflow2

πŸ‹ Simple implementations of various popular Deep Reinforcement Learning algorithms using TensorFlow2

deepspeed icon deepspeed

DeepSpeed is a deep learning optimization library that makes distributed training easy, efficient, and effective.

detectron2 icon detectron2

Detectron2 is FAIR's next-generation research platform for object detection and segmentation.

deview2020-ppai icon deview2020-ppai

DEVIEW2020 μš°λ¦¬κ°€ λ³Ό 수 μ—†λŠ” λ°μ΄ν„°λ‘œ λͺ¨λΈμ„ ν•™μŠ΅μ‹œν‚¬ 수 μžˆμ„κΉŒ?

distrl-tensorflow2 icon distrl-tensorflow2

🐳 Implementation of various Distributional Reinforcement Learning Algorithms using TensorFlow2.

django icon django

The Web framework for perfectionists with deadlines.

docs icon docs

TensorFlow documentation

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