Ecosyste.ms: Issues
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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