Analyze COVID-19 articles with state of the art machine learning in the cloud
Fundraising campaign by
Tomaz Bratanic
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€0.00raised of €400.00 goal goal
No more donations are being accepted at this time. Please contact the campaign owner if you would like to discuss further funding opportunities
Campaign Story
I am currently analyzing full body text of the articles made available on Kaggle (https://www.kaggle.com/allen-institute-for-ai/CORD-19-research-challenge) about COVID with the state of the art BioBert machine learning algorithm: https://github.com/dmis-lab/bern. It is very expensive algorithm and requires lots of CPU and GPU power. I am running it in the cloud currently on 4 servers, which will take around 4 days to finish with around 100€/day cost. As I am currently not in the best financial position due to the COVID situation, and 400€ means a lot to me a the moment, I am asking for small donations to help me finish this project. Once I am done I will share the extracted data with the world on Kaggle.
Thanks
Tomaž
Organizer
- Tomaz Bratanic
- Campaign Owner
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