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GitHub / tilman151/rul-adapt issues and pull requests

#60 - fix: conditional loss breaking for batch size one

Pull Request - State: closed - Opened by tilman151 6 months ago

#59 - fix: pseudo labels with newer RUL datasets version

Pull Request - State: closed - Opened by tilman151 7 months ago

#58 - There is no examples folder

Issue - State: closed - Opened by ZeeshanAbbas 7 months ago - 3 comments

#57 - chore: restrict rul-datasets dependency upwards

Pull Request - State: closed - Opened by tilman151 8 months ago

#56 - fix: make two-stage extractor work with empty batches

Pull Request - State: closed - Opened by tilman151 8 months ago

#55 - feat: add two stage extractor

Pull Request - State: closed - Opened by tilman151 8 months ago

#54 - chore: enable use of torch 2

Pull Request - State: closed - Opened by tilman151 8 months ago

#53 - fix: add dataset name property to pseudo labels

Pull Request - State: closed - Opened by tilman151 10 months ago

#52 - feat: make model hparams nested

Pull Request - State: closed - Opened by tilman151 10 months ago

#51 - docs: update example notebooks

Pull Request - State: closed - Opened by tilman151 10 months ago

#50 - fix: hparam logging issue

Pull Request - State: closed - Opened by tilman151 10 months ago

#49 - keyword error in example code

Issue - State: closed - Opened by keyplay 10 months ago - 1 comment

#48 - fix: make latent align numerically more stable

Pull Request - State: closed - Opened by tilman151 11 months ago

#47 - feat: add test step to supervised approach

Pull Request - State: closed - Opened by tilman151 about 1 year ago

#46 - fix: pseudo label generation for fttp longer than time series

Pull Request - State: closed - Opened by tilman151 about 1 year ago

#45 - docs: update and include example notebooks

Pull Request - State: closed - Opened by tilman151 about 1 year ago

#44 - fix: add safeguards for conditional adaption loss

Pull Request - State: closed - Opened by tilman151 about 1 year ago

#43 - fix/make pseudo labels work for normed rul

Pull Request - State: closed - Opened by tilman151 about 1 year ago

#42 - fix: make default max RUL of adarul None but behave as 1

Pull Request - State: closed - Opened by tilman151 about 1 year ago

#41 - fix: deactivate label transformation in latent align by default

Pull Request - State: closed - Opened by tilman151 about 1 year ago

#40 - feat: add stride to CNN extractor

Pull Request - State: closed - Opened by tilman151 about 1 year ago

#39 - feat: add dilation to CNN extractor

Pull Request - State: closed - Opened by tilman151 about 1 year ago

#38 - tests: disable lightning logging in unit tests

Pull Request - State: closed - Opened by tilman151 about 1 year ago

#37 - fix: additional inductive pseudo label error

Pull Request - State: closed - Opened by tilman151 about 1 year ago

#36 - fix: make pseudo labels ready for inductive adaption

Pull Request - State: closed - Opened by tilman151 about 1 year ago

#35 - feat: degraded-only evaluation mode

Pull Request - State: closed - Opened by tilman151 about 1 year ago

#34 - refactor: unify construction args for CNN and RNN models

Pull Request - State: closed - Opened by tilman151 about 1 year ago

#33 - feat: make model hyperparameters loggable

Pull Request - State: closed - Opened by tilman151 over 1 year ago

#32 - feat: make RUL score mode configurable

Pull Request - State: closed - Opened by tilman151 over 1 year ago

#31 - feat: make approach-unspecific hparams configurable

Pull Request - State: closed - Opened by tilman151 over 1 year ago

#30 - refactor: decouple eval losses

Pull Request - State: closed - Opened by tilman151 over 1 year ago

#29 - feat: add dynamic conditional adaption

Pull Request - State: closed - Opened by tilman151 over 1 year ago

#28 - feat: add pseudo label approach

Pull Request - State: closed - Opened by tilman151 over 1 year ago

#27 - refactor: unify supervised pre-training

Pull Request - State: closed - Opened by tilman151 over 1 year ago

#26 - fix: add best model checkpoint to lstm dann

Pull Request - State: closed - Opened by tilman151 over 1 year ago

#25 - feat: add cnn dann

Pull Request - State: closed - Opened by tilman151 over 1 year ago

#24 - docs: update intro and readme

Pull Request - State: closed - Opened by tilman151 over 1 year ago

#23 - feat: add tbigru

Pull Request - State: closed - Opened by tilman151 over 1 year ago

#22 - fix: introduce epsilon for pairwise euclidean

Pull Request - State: closed - Opened by tilman151 over 1 year ago

#21 - feat: add adarul

Pull Request - State: closed - Opened by tilman151 over 1 year ago

#20 - feat: add gradient weight to GRL

Pull Request - State: closed - Opened by tilman151 over 1 year ago

#19 - feat: enable checkpointing

Pull Request - State: closed - Opened by tilman151 over 1 year ago

#18 - fix: remove cpu only pytorch

Pull Request - State: closed - Opened by tilman151 over 1 year ago

#17 - feat: add consistency dann

Pull Request - State: closed - Opened by tilman151 over 1 year ago

#16 - fix: remove dropout from cnn input

Pull Request - State: closed - Opened by tilman151 almost 2 years ago

#15 - feat: add dropout option to fc head

Pull Request - State: closed - Opened by tilman151 almost 2 years ago

#14 - feat: add lstm dann

Pull Request - State: closed - Opened by tilman151 almost 2 years ago

#13 - fix: diverging devices in adaption metrics

Pull Request - State: closed - Opened by tilman151 almost 2 years ago

#12 - fix: make adaption metrics movable between devices

Pull Request - State: closed - Opened by tilman151 almost 2 years ago

#11 - fix: rul score backward

Pull Request - State: closed - Opened by tilman151 almost 2 years ago

#10 - feat: create domain labels inside dann loss

Pull Request - State: closed - Opened by tilman151 almost 2 years ago

#9 - feat: make set_model open for override

Pull Request - State: closed - Opened by tilman151 almost 2 years ago

#8 - fix: put dropout layers in right positions for rnns

Pull Request - State: closed - Opened by tilman151 almost 2 years ago

#7 - feat: switch adaption losses over to torchmetrics

Pull Request - State: closed - Opened by tilman151 almost 2 years ago

#6 - feat: add latent alignment approach

Pull Request - State: closed - Opened by tilman151 almost 2 years ago

#5 - feat: add losses

Pull Request - State: closed - Opened by tilman151 almost 2 years ago

#4 - feat: add head model

Pull Request - State: closed - Opened by tilman151 almost 2 years ago

#3 - fix: remove manual feature extractor

Pull Request - State: closed - Opened by tilman151 almost 2 years ago

#2 - feat: add feature extractor models

Pull Request - State: closed - Opened by tilman151 almost 2 years ago

#1 - feat: add abstract base class for approaches

Pull Request - State: closed - Opened by tilman151 almost 2 years ago