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openknowledge
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mlops
MLOps showcase, in which we will go through the various phases of a Machine Learning project.
Apache License 2.0
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Decouple Prediction Request
#19
DJCordhose
opened
1 year ago
0
Implementing a GitOps Infrastructure to deploy everything conveniently to a local cluster
#18
tkurzydym
opened
1 year ago
0
Train model using TabPFN as a base line or upper bound
#17
DJCordhose
opened
1 year ago
0
Use Alibi Detect to detect adversarial attacks
#16
DJCordhose
opened
1 year ago
0
Prometheus Alert-Manager
#15
DJCordhose
opened
1 year ago
0
More realistic serving setup (WSGI)
#14
DJCordhose
opened
1 year ago
0
Get a more structured idea of what to test and at what stage
#13
DJCordhose
opened
1 year ago
0
Check model stability and adversarial vulnerability
#12
DJCordhose
opened
1 year ago
0
Use Pytest for Validation Scripts
#11
DJCordhose
opened
1 year ago
0
Train a neighbor based model
#10
DJCordhose
opened
1 year ago
0
Train an XGBoost Model
#9
DJCordhose
opened
1 year ago
0
Typo in feature emergency_breaking
#8
DJCordhose
closed
1 year ago
0
Add a script to check data quality
#7
DJCordhose
opened
1 year ago
0
Try out more models / model architectures in exploration phase
#6
DJCordhose
opened
1 year ago
2
Make Evidently Metric Server more configurable
#5
DJCordhose
opened
1 year ago
1
Log target drift and display in dashboard
#4
DJCordhose
opened
1 year ago
0
Line-Endings on Windows
#3
DJCordhose
opened
1 year ago
1
WIP: Containerize Jupyter
#2
habecker
closed
1 year ago
1
Create model with docker compose
#1
tkurzydym
closed
2 years ago
0