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This repository was archived by the owner on Mar 23, 2021. It is now read-only.
geflo is a program & cli to aid those in decentralized cognitive research. It consists of 2 main components:
Model: a multi class variational classifier to categorize fNIRS brain headset data from 3 different session variants
Market: saves the weights to be transferred to perform model tuning on additional private datasets, a type of transfer learning
The cli gives a user the ability to interact with models by purchasing those that are pre-trained from a market stored on the blockchain, possibly mix in pricing in the future.
With these 2 pieces: computation & parameter sharing, the hope is that this pipeline can be applied to various different use cases that require a pre-trained model of cognitive data (e.g. chemistry, etc.)
Team Name:
geflo
Project Description:
geflo is a program & cli to aid those in decentralized cognitive research. It consists of 2 main components:
Model: a multi class variational classifier to categorize fNIRS brain headset data from 3 different session variants
Market: saves the weights to be transferred to perform model tuning on additional private datasets, a type of transfer learning
The cli gives a user the ability to interact with models by purchasing those that are pre-trained from a market stored on the blockchain, possibly mix in pricing in the future.
With these 2 pieces: computation & parameter sharing, the hope is that this pipeline can be applied to various different use cases that require a pre-trained model of cognitive data (e.g. chemistry, etc.)
Presentation:
https://github.com/deep6org/geflo/blob/master/README.md
Source code:
https://github.com/deep6org/geflo