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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.

Sebastiano Vascon's Projects

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Afternotes for the attended courses at Ca' Foscari University, master in Data Management and Analytics.

daisgram_20_21 icon daisgram_20_21

Repository per il progetto di Laboratorio di Programmazione A.A. 2020-2021

deepalplus icon deepalplus

This is a toolbox for Deep Active Learning, an extension from previous work https://github.com/ej0cl6/deep-active-learning (DeepAL toolbox).

deeplabv3finetuning icon deeplabv3finetuning

Tutorial on fine tuning DeepLabv3 segmentation network for your own segmentation task in PyTorch.

dgl-ke icon dgl-ke

High performance, easy-to-use, and scalable package for learning large-scale knowledge graph embeddings.

gnnpapers icon gnnpapers

Must-read papers on graph neural networks (GNN)

gtcg icon gtcg

Game-Theoretic Conversational Groups Detector - CVIU2015/ACCV2014

gtg_pfp icon gtg_pfp

Protein Function Prediction as a Graph-Transduction Game

gtnmf icon gtnmf

Context-aware non negative matrix factorization clustering. ICPR2016

memex-kg icon memex-kg

Connecting targeted communities to experiences and memories with a new Knowledge Graph (KG) for Cultural Heritage.

mva_2023_sl icon mva_2023_sl

Course materials for the MVA course "algorithms for speech and language processing"

nemo icon nemo

NeMo: a toolkit for conversational AI

openface icon openface

OpenFace – a state-of-the art open source tool intended for facial landmark detection, head pose estimation, facial action unit recognition, and eye-gaze estimation.

progressive-x icon progressive-x

The Progressive-X algorithm proposed in paper: Daniel Barath and Jiri Matas; Progressive-X: Efficient, Anytime, Multi-Model Fitting Algorithm, International Conference on Computer Vision, 2019. It is available at https://arxiv.org/pdf/1906.02290

pytorch-seq2seq icon pytorch-seq2seq

Tutorials on implementing a few sequence-to-sequence (seq2seq) models with PyTorch and TorchText.

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