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arundo
/
tsaug
A Python package for time series augmentation
https://tsaug.readthedocs.io
Apache License 2.0
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How to understand normalisation in add_noise and how it is achieved?
#20
chance12355666
opened
1 year ago
0
Add missing color.
#19
msoftware
opened
1 year ago
1
Missing function calls in documentation
#18
15bubbles
opened
2 years ago
0
Static random augmentation across multiple time series
#17
jgrss
opened
2 years ago
0
How to cite this repo?
#16
kowshikthopalli
closed
3 years ago
2
_Augmenter should be exposed properly as tsaug.Augmenter
#15
Holt59
opened
3 years ago
0
Equivalence in transformation names
#14
ogreyesp
opened
3 years ago
1
ValueError: The numbers of series in X and Y are different.
#13
talhaanwarch
opened
4 years ago
3
Migrate documentation
#12
tailaiw-ghost
closed
4 years ago
0
v0.2 release
#11
tailaiw
closed
4 years ago
0
v0.2.0
#10
tailaiw
closed
4 years ago
0
How to augment multi_variate time series data?
#9
talhaanwarch
opened
4 years ago
2
Prepare 0.1.1
#8
tailaiw
closed
4 years ago
0
Data augmentation for regression
#7
mleeJordan
opened
4 years ago
1
Type hints
#6
roycoding
closed
4 years ago
0
raise error if augmentation function is not defined correctly in an Augmentor object
#5
tailaiw
closed
4 years ago
0
Default _Augmentor arguments will raise an error
#4
roycoding
closed
4 years ago
1
removed import from private packages in quickstart notebook
#3
tailaiw
closed
4 years ago
0
can't find the deepad python package
#2
xsqian
closed
4 years ago
1
Let's use type hints!
#1
tailaiw
opened
4 years ago
2