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A Github Pages template for academic websites. This was forked (then detached) by Stuart Geiger from the Minimal Mistakes Jekyll Theme, which is © 2016 Michael Rose and released under the MIT License. See LICENSE.md.

I think I've got things running smoothly and fixed some major bugs, but feel free to file issues or make pull requests if you want to improve the generic template / theme.

Note: if you are using this repo and now get a notification about a security vulnerability, delete the Gemfile.lock file.

Instructions

  1. Register a GitHub account if you don't have one and confirm your e-mail (required!)
  2. Fork this repository by clicking the "fork" button in the top right.
  3. Go to the repository's settings (rightmost item in the tabs that start with "Code", should be below "Unwatch"). Rename the repository "[your GitHub username].github.io", which will also be your website's URL.
  4. Set site-wide configuration and create content & metadata (see below -- also see this set of diffs showing what files were changed to set up an example site for a user with the username "getorg-testacct")
  5. Upload any files (like PDFs, .zip files, etc.) to the files/ directory. They will appear at https://[your GitHub username].github.io/files/example.pdf.
  6. Check status by going to the repository settings, in the "GitHub pages" section
  7. (Optional) Use the Jupyter notebooks or python scripts in the markdown_generator folder to generate markdown files for publications and talks from a TSV file.

See more info at https://academicpages.github.io/

To run locally (not on GitHub Pages, to serve on your own computer)

  1. Clone the repository and made updates as detailed above
  2. Make sure you have ruby-dev, bundler, and nodejs installed: sudo apt install ruby-dev ruby-bundler nodejs
  3. Run bundle clean to clean up the directory (no need to run --force)
  4. Run bundle install to install ruby dependencies. If you get errors, delete Gemfile.lock and try again.
  5. Run bundle exec jekyll liveserve to generate the HTML and serve it from localhost:4000 the local server will automatically rebuild and refresh the pages on change.

Changelog -- bugfixes and enhancements

There is one logistical issue with a ready-to-fork template theme like academic pages that makes it a little tricky to get bug fixes and updates to the core theme. If you fork this repository, customize it, then pull again, you'll probably get merge conflicts. If you want to save your various .yml configuration files and markdown files, you can delete the repository and fork it again. Or you can manually patch.

To support this, all changes to the underlying code appear as a closed issue with the tag 'code change' -- get the list here. Each issue thread includes a comment linking to the single commit or a diff across multiple commits, so those with forked repositories can easily identify what they need to patch.

Ark Lin's Projects

cp-net icon cp-net

Cosmos Propagation Network: Deep learning model for point cloud completion

datacube-core icon datacube-core

Open Data Cube analyses continental scale Earth Observation data through time

dense-coattention-network icon dense-coattention-network

Improved Fusion of Visual and Language Representations by Dense Symmetric Co-Attention for Visual Question Answering

iccv2023-hypercd icon iccv2023-hypercd

The official repository of the paper "Hyperbolic Chamfer Distance for Point Cloud Completion" published at ICCV 2023

infocl icon infocl

[CVPR 2022 Oral] Rethinking Minimal Sufficient Representation in Contrastive Learning

lossdistillationweightedcd icon lossdistillationweightedcd

The official repository of the paper "Loss Distillation via Gradient Matching for Point Cloud Completion with Weighted Chamfer Distance"

neurips2023-infocd icon neurips2023-infocd

The official repository of the paper "InfoCD: A Contrastive Chamfer Distance Loss for Point Cloud Completion" published at NeurIPS 2023

pytorch3d icon pytorch3d

PyTorch3D is FAIR's library of reusable components for deep learning with 3D data

sa_net icon sa_net

Implementation of The paper SA_Net for point cloud completion

sparenet icon sparenet

Style-based Point Generator with Adversarial Rendering for Point Cloud Completion (CVPR 2021)

spconv icon spconv

Spatial Sparse Convolution Library

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