Candle
Simple PyTorch helpers. Example features:
- Simple modules like
Lambda
,Flatten
,View
,Concat
,Split
,SkipConnection
. NoInputSpec
, which wraps another module to dynamically figure out its input size the first time it's called.CannedNet
and as an example generalisationCannedResNet
, which provide a straightforward and extensible way to assemble sequential neural networks, but with some extra features, like not having to figure out input sizes, and easy specification of ResNet (or ResNet-in-ResNet etc.) style architectures.create_supervised_trainer
for a simple trainer with all the boilerplate written for you. (Depends on the excellentignite
framework.)Window
andRecur
for a simple way to create complicated recurrent architectures.- Utilities like
tensor_product
andbatch_flatten
.
Plus a few more things!