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DHI
/
tsod
Anomaly Detection for time series data
https://dhi.github.io/tsod
MIT License
164
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Fix dependences versions. Remove annotation tool
#49
charalamm
closed
11 months ago
3
How can I save and load trained model?
#48
Mekako
closed
1 year ago
4
Try 3.11
#47
ecomodeller
closed
1 year ago
0
is_selected is not an argument
#46
ecomodeller
opened
1 year ago
2
new logo
#45
jsmariegaard
closed
1 year ago
0
Active learning
#44
PaulDanielML
closed
1 year ago
0
new file uploader function to enable uploading and merging of several…
#43
NinaOeh
closed
2 years ago
0
Python 3.10
#42
ecomodeller
closed
2 years ago
0
Correlation mv detector
#41
laurafroelich
closed
2 years ago
1
Improve test coverage
#40
laurafroelich
closed
2 years ago
0
Multivariate range
#39
laurafroelich
closed
2 years ago
0
New python versions
#38
ecomodeller
closed
2 years ago
0
tsod tsod.ConstantGradientDetector() so slow!!
#36
KevinLu233
closed
3 years ago
2
Seasonal detector
#35
ecomodeller
closed
1 year ago
0
Compare time series to reference
#34
ecomodeller
closed
1 year ago
0
Xplat
#33
ecomodeller
closed
3 years ago
0
Example
#32
ecomodeller
closed
3 years ago
0
Fix constant gradient issue #27
#31
jsmariegaard
closed
3 years ago
0
Reworked rolling standard deviation detector
#30
ecomodeller
closed
3 years ago
0
Sphinx warning as error
#29
ecomodeller
closed
3 years ago
0
Hampel filter inconsistent
#28
ecomodeller
closed
3 years ago
1
Constant gradient
#27
ecomodeller
closed
3 years ago
0
Setup good test case for autoencoders
#26
halvgaard
closed
1 year ago
1
Handle non-equidistant data gracefully
#25
ecomodeller
opened
3 years ago
0
Move autoencoders
#24
halvgaard
closed
3 years ago
0
Add predict as a method in base detector class to align with sklearn
#23
halvgaard
opened
3 years ago
0
LSTM autoencoder
#22
halvgaard
closed
3 years ago
0
Handle nans in example dataset
#21
halvgaard
closed
3 years ago
0
Rename PeakDetector to RollingStandardDeviationDetector
#20
halvgaard
closed
3 years ago
0
State contribution guidelines from recent PRs
#19
halvgaard
closed
3 years ago
0
Sort time series before applying detection
#18
halvgaard
opened
3 years ago
0
Rename PeakDetector to RollingStandardDeviationDetector
#17
halvgaard
closed
3 years ago
0
Constant values and constant gradient
#16
jsmariegaard
closed
3 years ago
0
Quantile range option and non-equidistant handling
#15
halvgaard
closed
3 years ago
0
Handle nonequidistant
#14
halvgaard
closed
3 years ago
1
Cmems qc data
#13
ecomodeller
closed
3 years ago
0
Add benchmarking dataset with labelled anomalies for scoring performance of detector algorithms
#12
halvgaard
opened
3 years ago
12
Add default autoencoder from pyod as detector
#11
halvgaard
closed
3 years ago
0
Faster numba implementation of Hampel filter
#10
halvgaard
closed
3 years ago
0
Hampel numba implementation
#9
halvgaard
closed
3 years ago
3
Autoencoder as anomaly detector
#8
halvgaard
closed
3 years ago
0
Update readme
#7
halvgaard
closed
3 years ago
0
Anomaly detector based on the Hampel filter (Median Absolute Deviation)
#6
halvgaard
closed
3 years ago
1
Add Hampel filter
#5
halvgaard
closed
3 years ago
0
Example data: DMI water level
#4
halvgaard
closed
3 years ago
1
Implement different anomaly voting strategies in Pipeline
#3
halvgaard
closed
3 years ago
0
Create test pipeline
#2
halvgaard
closed
3 years ago
0
Range detection and base classes
#1
halvgaard
closed
3 years ago
0