SamSweere/xmm-superres-denoise
Deep Learning-Based Super-Resolution and De-Noising for XMM-Newton Images.
Python
Issues
- 0
Go through Yvonne's PR and merge if possible
#28 opened by bojobo - 1
Speed up creation of our `DataModule`
#15 opened by bojobo - 0
Add new dataset
#27 opened by bojobo - 2
Add more models
#9 opened by bojobo - 6
About datasets posted in directory `train -> display_datasets -> xmm_sim_display_selection`
#25 opened by leungzzz - 2
Use `dependabot` to keep dependencies up-to-date?
#20 opened by bojobo - 3
About how to generate those model input data?
#24 opened by leungzzz - 4
Request xmm_superres_denoise/run_config.yaml
#23 opened by jiaweimmiao - 3
Create procedure for creating `xmm_sim_dataset`
#16 opened by bojobo - 3
Add trained models
#17 opened by bojobo - 2
Use Academic Torrents to share the datasets?
#18 opened by bojobo - 0
Use `CompositionalMetric` where possible
#12 opened by bojobo - 0
Add `SwinIR` as a choice for models
#8 opened by bojobo - 0
Local packages cannot be found
#3 opened by bojobo - 1
File xmm_dev_ff.yaml not found in test.py
#1 opened by johnphill