Zenodo
versioning, 50GB, free bandwidth, DOI, provides long-term preservation
In 2 lists
versioning, 50GB, free bandwidth, DOI, provides long-term preservation
Tips for Publishing Research Code
Tips for releasing research code in Machine Learning (with official NeurIPS 2020 recommendations)
This page lists names, links and short descriptions. The original list on GitHub is the source and belongs to its authors.
Additional awesome resources for releasing research code >Hosting pretrained models files
GitHub Releases
versioning, 2GB file limit, free bandwidth
OneDrive
versioning, 2GB (free)/ 1TB (with Office 365), free bandwidth
In 2 lists
Google Drive
versioning, 15GB, free bandwidth
In 5 listsDetails
huggingface_hub
versioning, no size limitations, free bandwidth
In 3 lists
CodaLab Worksheets
10GB, free bandwith
Additional awesome resources for releasing research code >Managing model files
Additional awesome resources for releasing research code >Standardized model interfaces
In 2 lists
Hugging Face NLP models
Open LLM models by Meta, Mistral, and hundreds of other providers.
In 3 lists
Additional awesome resources for releasing research code >Results leaderboards
Papers with Code leaderboards
with 4000+ leaderboards
In 3 lists
CodaLab Competitions
with 450+ leaderboards
EvalAI
with 100+ leaderboards
NLP Progress
with 90+ leaderboards
In 2 lists
Collective Knowledge
with 40+ leaderboards
Weights & Biases - Benchmarks
with 9+ leaderboards
Additional awesome resources for releasing research code >Making project pages
GitHub pages
Websites for you and your projects. Hosted directly from your GitHub repository. Just edit, push, and your changes are live.
In 9 listsDetails
In 2 lists
Additional awesome resources for releasing research code >Making demos, tutorials, executable papers
Google Colab
free jupyter notebook online. Google Colab also comes with free GPU hours.; Free and powerful.; Share and collaborate on the same notebook.; Can be saved in GitHub or Google Drive.
In 6 listsDetails
Binder
Open notebooks in an executable environment, making your code immediately reproducible by anyone, anywhere.
In 4 lists
Streamlit
The fastest way to build and share data apps. Transform Python scripts into beautiful web applications with minimal code. Widely used for ML model demos, data visualization, and internal tools.
In 10 listsDetails
CodaLab Worksheets
10GB, free bandwith
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