Become a sponsor to caped-ai
We are a technology based non profit association from France and our focus is on creating artificial intelligence based algorithms, programs and partner with researchers around the world to create customised workflows to address their bio image and data analysis needs.We use supercomputing resources to create deep learning models, provide annotated datasets for training the models and in our website you will find links to our articles, youtube channel and open source software and datasets.
Our model is to hire teachers, developers and online content creators who are paid by the association to make cutting-edge resources that are in turn provided by our non-profit association as open source tools and resources for public usage. We also provide training in using and developing these tools with the aid we receive.
Our open source repositories on Pypi:
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Generic segmentation tool: https://pypi.org/project/vollseg/
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Generic static and action classification tool: https://pypi.org/project/oneat/
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Track analysis in python for TrackMate: https://pypi.org/project/napatrackmater/
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$25 a month
SelectCreation of new codes
We create new codes as per your request
Creation of user interface
Creating user interface as interactive jupyter notebooks, scripts for seding jobs in a server using slurm scheduler
Regular checkins, slack support
Ger our regular updates via our slack channel
$1,000 a month
SelectCreation of new codes
Create new Fiji plugins/enhance existing one. Create new python codes on demand
Creation of user interface
Creating user interface for using the programs as interactive jupyter notebooks, Napari plugins, Fiji plugins with custom GUI/add ons to existing plugins like TrackMate using their GUI capabilities.
Collaboration with your analyst
If you have an analyst working at your facility we engage and collaborate to create tools
Regular progress reports
We provide regular pdf files, updates via face time meeting on your project.
Regular checkins, slack support
For a more interactive experience.
Our own computational resource usage (GPU/CPU)