mrq ba5f3d19b4 use the FSQ-targeted encoder/decodede whole-ly as it works for EnCodec too, as the RVQ-targeted encoder/decoder doesnt (and some notes)		2025-03-12 22:47:19 -05:00
..
emb
engines	one more time one more time (this normalization isn't a spook)	2025-03-07 19:32:42 -06:00
models	use the FSQ-targeted encoder/decodede whole-ly as it works for EnCodec too, as the RVQ-targeted encoder/decoder doesnt (and some notes)	2025-03-12 22:47:19 -05:00
utils	stuff for interfacing with the loss scaler value (because I want to cap it)	2025-03-06 17:07:29 -06:00
__init__.py
__main__.py
config.py	actually do duration prediction	2025-03-11 22:14:54 -05:00
data.py	another optimization (within the dataloader because the similar utterance sampler was mondo slow)	2025-03-08 17:10:50 -06:00
demo.py
export.py
inference.py	actually do duration prediction	2025-03-11 22:14:54 -05:00
metrics.py
plot.py
samplers.py
train.py	ugh	2025-03-06 17:19:27 -06:00
webui.py