Friendly RESearch RESources Hub
Making research resources easy to find, reuse, and share — documenting assets for reproducible research.
Fresh is an open and evolving library designed for researchers.
It provides reusable components for every part of academic writing, from data visualization code, tables and algorithm pseudocode in LaTeX format, to .bib references, writing assets, and research utilities.
Each entry in Fresh is:
- Plug-and-Play: directly usable or easily adaptable
- Reproducible: accompanied by minimal working examples
- Traceable: linked to sources and references
- Friendly: designed to help researchers share knowledge efficiently
FreshDocs/
├── news/ # Announcements
├── memo/ # Research components
└── .../ # Other things
We warmly welcome contributions from the research community!
If you have a useful visualization snippet, LaTeX code, or writing assets, you can easily add it to Fresh.
- Fork this repository to your own GitHub account.
- Clone your fork locally:
git clone https://github.com/<your-username>/Fresh.git
- Create a new branch for your contribution:
git checkout -b new-feature
- Enter the documentation workspace and install dependencies (For more details, see Guide:
cd FreshDocs npm install - Add your new content under the appropriate directory, e.g.:
Each entry should include:
FreshDocs/memo/visualization_recipes/vilion_plot/README.mddescribing usage and references- Example code
- Citation or original source if applicable
- Preview your contribution locally to ensure it builds correctly:
This command launches a local Docusaurus development server so you can check that your new content renders properly.
npm run start
- Commit and push your changes:
git add . git commit -m "Add: new visualization component for dataset analysis" git push origin new-feature
- Commit and push your changes:
git add . git commit -m "Add: new visualization component for dataset analysis" git push origin new-feature
- Open a Pull Request back to
main:- Provide a short, descriptive title.
- Include context and reference if relevant.
Once reviewed, your contribution will become part of the Fresh library.
Fresh is not just a repository, it's a collective memory of reusable research design.
Every contribution, big or small, helps build a more connected and transparent research ecosystem.
We encourage:
- Clean, minimal, reproducible code
- Clear documentation and example inputs/outputs
- Proper citation of original sources
Fresh is maintained by Yangs-AI Research Group,
with ongoing support from collaborators and community contributors.
Research becomes powerful when it's shared, not just as papers, but as reusable building blocks.