layers

This is summary documentation for hippynn.layers module. Click here for full documentation.

API Summary for sub-modules:

• algebra
• excited
• hiplayers
• indexers
• pairs
• physics
• regularization
• targets
• transform

Links to Full Documentation:

Pytorch modules that represent composable pieces of models.

Modules

algebra	Layers for simple operations
excited
hiplayers	Layers for HIP-NN
indexers	Layers for encoding, decoding, index states, besides pairs
pairs	Implementations of pair finding, pair index manipulation, and analysis of pairs
physics	Layers for physical operations
regularization	Layers for getting L2 parameters
targets	Layers for target prediction such as Energy and Charge
transform	Layers that wrap other layers.