mrq 14c78bae39 added lots of sampling options (top-k/top-p, repetition penalty, length penalty)		2023-09-08 20:30:54 -05:00
..
emb
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 lots of sampling options (top-k/top-p, repetition penalty, length penalty)	2023-09-08 20:30:54 -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
__main__.py	added lots of sampling options (top-k/top-p, repetition penalty, length penalty)	2023-09-08 20:30:54 -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
inference.py	added lots of sampling options (top-k/top-p, repetition penalty, length penalty)	2023-09-08 20:30:54 -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