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Implement easy fine-tuning handling #45

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jakubczakon opened this issue Sep 2, 2018 · 0 comments
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Implement easy fine-tuning handling #45

jakubczakon opened this issue Sep 2, 2018 · 0 comments
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@jakubczakon jakubczakon self-assigned this Sep 2, 2018
jakubczakon added a commit that referenced this issue Oct 13, 2018
* Update README.md

* Solution 3 simple (#50)

* initial ref

* solution 3 ported

* Update README.md

* Update README.md

* Update README.md

* dropped old paths

* Update README.md

* sections to ASCII art

* removed add_fold_id_suffix, log_scores, save_predictions

* Update README.md

* Update README.md

* Update neptune.yaml

* Update README.md

* Update README.md

* Update neptune.yaml

* Typo on #38 & #201 (#65)

* Update README.md

* added k-fold validation and averaging, added saving oof predictions, … (#73)

* added k-fold validation and averaging, added saving oof predictions, fixed pytorch memory issues, updated results exploration

* updated utils

* Update README.md

* Update README.md

* Update README.md

* Update README.md

* Solution 5 (#79)

* moved solution 5

* Update neptune.yaml

updated configs

* Solution 5 (#80)

* moved solution 5

* Update neptune.yaml

updated configs

* Update README.md

* added FineTuningStep (#81)

* Solution 6 (#89)

* init solution 6

* Update README.md

* Update README.md

* Update README.md

* reversed sign of empty_vs_non_empty

* Augmenatations (#41)

* Seresnet pretrained (#42)

* restructured archs, added seresnetxt and seresnet

* fixed imports

* added densenet training 121 (#43)

* notebook updated

* PSPNet (#44)

* added pool0 fixed import errors (#45)

* fixed conlicts in readme

* fixed conflicts in stacking

* detached metadata preparation from running script
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