mrq 10c34c5b98 added a length-based decay factor for repetition penalty		2023-09-08 21:02:00 -05:00
..
emb	(need to verify) added modifying model size and config bool to align with VALL-E continuous' methodology	2023-09-01 17:19:34 -05:00
engines	added option to specify parameters to freeze per-model in YAML (because I need to see about committing atrocities with convering an AR into an AR+NAR)	2023-09-07 18:19:51 -05:00
models	added a length-based decay factor for repetition penalty	2023-09-08 21:02:00 -05:00
utils	also cull frozen_params in the params optimizer receives to reduce VRAM it consumes	2023-09-07 18:27:02 -05:00
__init__.py	Rewrite init	2023-08-02 21:53:35 +00:00
__main__.py	added a length-based decay factor for repetition penalty	2023-09-08 21:02:00 -05:00
config.py	some day I'll get it right	2023-09-08 15:36:26 -05:00
data.py	added per-speaker samplers	2023-09-03 21:27:13 -05:00
export.py	ops	2023-08-20 13:42:18 -05:00
inference.py	added a length-based decay factor for repetition penalty	2023-09-08 21:02:00 -05:00
plot.py	integrated plot script, added tts-c task token to help the model be able to mix between normal VALL-E and VALL-E continuous	2023-09-02 16:29:53 -05:00
train.py	seems that my PromEmbedding/RespEmbedding doesn't actually work all that well, naively using dedicated MultiEmbeddings for AR/NAR in the monolithic model is the best way to go	2023-09-08 01:03:24 -05:00