UPennEoR ml_rfi issues - Githubissues

UPennEoR / ml_rfi

Machine learning applied to RFI flagging

BSD 2-Clause "Simplified" License

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issues

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Add early stopping

#13 JianrongTan opened 4 years ago
0
Add unit tests and CI integration

#12 plaplant opened 5 years ago
0
Streamline installation

#11 plaplant opened 5 years ago
0
Make package installable

#10 plaplant closed 5 years ago
1
Convert from TF's high level Estimators API

#9 jkerrigan closed 6 years ago
1
Test predictions on a very dense per pixel multi-label dataset

#8 jkerrigan closed 5 years ago
1
Add padding for the folded dataset

#7 jkerrigan closed 6 years ago
1
Refactor the train, evaluate, test options

#6 jkerrigan closed 5 years ago
1
Prediction time for a full HERA Observation

#5 jkerrigan opened 6 years ago
1
Perform training on strictly simulated data and evaluate on real XRFI'd data

#4 jkerrigan opened 6 years ago
2
Latest real data training dataset (v3) has bad RFI flags

#3 jkerrigan closed 5 years ago
3
Add tensorboard hooks

#2 jkerrigan closed 6 years ago
1
Optimize fold() and unfold() functions

#1 jkerrigan closed 6 years ago
2