Seems like Pytorch lightening is the only first-class citizen in your offering. Is that true? Or are there value-added features for TensorFlow and other non-DL libraries such as scikit-learn?
Also, is there support for distributed training for large datasets that don't fit into single instance memory? or just distributed grid-search/hyper-parameter optimization?
Just that if you use lightning you'll have zero friction. Well as with the others... you might run into issues inherent in the other framework's hard to work with designs.
Comments
Seems like Pytorch lightening is the only first-class citizen in your offering. Is that true? Or are there value-added features for TensorFlow and other non-DL libraries such as scikit-learn?
Also, is there support for distributed training for large datasets that don't fit into single instance memory? or just distributed grid-search/hyper-parameter optimization?
No, we support other frameworks too!
Just that if you use lightning you'll have zero friction. Well as with the others... you might run into issues inherent in the other framework's hard to work with designs.