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starrytong
/
SCNet
MIT License
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About evaluation
#23
zhangkexin271
opened
1 week ago
1
Please add these options
#22
dillfrescott
closed
4 days ago
3
Fix tuple syntax and tqdm parameters in SCNet.py and apply.py
#21
hunterhogan
opened
1 week ago
0
Training behavior with gradient accumulation
#20
lyndonlauder
closed
1 week ago
3
The loss and metric suddenly became abnormal during training.
#19
hollandloprabbit
opened
2 weeks ago
3
about Model Implementation
#18
autumn-2-net
opened
2 weeks ago
6
Please add a config option to save every X steps
#17
dillfrescott
closed
2 weeks ago
2
About the training time & training details
#16
LuckyHeart
opened
2 months ago
1
Model increase
#15
lucellent
opened
2 months ago
4
Large config AMP training: loss=nan, grad=nan, nsdr=nan
#14
ari-ruokamo
closed
3 months ago
2
Training other targets than default BVOD?
#13
ari-ruokamo
closed
3 months ago
6
About artifact in the silence section
#12
koreyoshi1992
opened
3 months ago
0
Grad=inf and Loss=nan with mixed precision
#11
lyndonlauder
closed
3 months ago
3
Further training strategies
#10
ari-ruokamo
opened
4 months ago
10
mid and high frequencies missing
#9
fattyyyyyyyyyy
opened
4 months ago
6
Update solver.py
#8
starrytong
closed
4 months ago
0
Mixed precision error
#7
lyndonlauder
closed
4 months ago
1
Intermediate training checkpoint filesizes too large?
#6
ari-ruokamo
closed
4 months ago
2
Scnet-large config
#5
256Bab
closed
4 months ago
3
Training model with target source
#4
lyndonlauder
closed
4 months ago
4
Error inferencing
#3
lucellent
closed
4 months ago
3
Training and evaluation code release
#2
lyndonlauder
closed
4 months ago
0
Problem with training
#1
ZFTurbo
opened
7 months ago
15