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SamSweere
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xmm-superres-denoise
Deep Learning-Based Super-Resolution and De-Noising for XMM-Newton Images.
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About datasets posted in directory `train -> display_datasets -> xmm_sim_display_selection`
#25
leungzzz
opened
2 weeks ago
5
About how to generate those model input data?
#24
leungzzz
closed
2 weeks ago
3
Request xmm_superres_denoise/run_config.yaml
#23
jiaweimmiao
closed
1 month ago
4
Xmmsr yvonne2
#22
SamSweere
opened
2 months ago
0
Update README.md
#21
bojobo
closed
9 months ago
1
Use `dependabot` to keep dependencies up-to-date?
#20
bojobo
closed
2 weeks ago
2
Update README.md
#19
bojobo
closed
11 months ago
0
Use Academic Torrents to share the datasets?
#18
bojobo
closed
9 months ago
2
Add trained models
#17
bojobo
closed
9 months ago
3
Create procedure for creating `xmm_sim_dataset`
#16
bojobo
closed
1 month ago
3
Speed up creation of our `DataModule`
#15
bojobo
opened
1 year ago
0
Introduce loss_functions.yaml; Use CompositionalMetrics
#13
bojobo
closed
1 year ago
0
Use `CompositionalMetric` where possible
#12
bojobo
closed
1 year ago
0
Missing file
#11
bojobo
closed
1 year ago
2
Added SwinIR
#10
bojobo
closed
1 year ago
1
Add more models
#9
bojobo
opened
1 year ago
1
Add `SwinIR` as a choice for models
#8
bojobo
closed
1 year ago
0
Fix for metric logging and split creation
#7
bojobo
closed
1 year ago
0
Major Code Refactor
#6
SamSweere
closed
1 year ago
0
Bojans code improvements
#5
SamSweere
closed
1 year ago
0
added ivans updates
#4
SamSweere
closed
1 year ago
0
Local packages cannot be found
#3
bojobo
closed
1 year ago
0
Xmmsr ivan
#2
SamSweere
closed
1 year ago
0
File xmm_dev_ff.yaml not found in test.py
#1
johnphill
closed
1 year ago
1