This project is a set of extensions allowing developers of the directus community to train, test and use machine learning model inside their existing directus.
- For somebody new in machine learning, it is a little bit to setup a decent infrastructure for the use of his model. Some developers whould be obliged to export their directus data in a json file, then train a model using python to finally embed the model in their nodejs backend just for simple predictions. This is really tedious and time consuming
- The main library I'm using is brain.js (https://github.com/BrainJS/brain.js) but I'm planning to add tensorflow js
- I'm trying to build a set of extensions, so I have chosen a bundle
- If I have more time, I will build a complete pipeline so some models can be trained every day with a cron task and only the best one in accuracy with be shipped to production for customer use.
Watch the video on youtube
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Make sure you have created a .env file for directus configurations
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Make sure you have docker and docker-compose installed
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Run
docker-compose -f docker-compose.demo.yml upin the root directory. the app will run on port 8055 -
Try to login:
- Admin email:
admin@example.com - Admin password:
@Admin2019
- Admin email: