Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

ci: version bump to 0.7.0 #92

Closed
wants to merge 61 commits into from
Closed

ci: version bump to 0.7.0 #92

wants to merge 61 commits into from

Conversation

CaibinSh
Copy link
Collaborator

No description provided.

CaibinSh and others added 28 commits August 10, 2024 23:29
…le in the case of no ambient profile provided
* fix: optomize dataloading for ambient profile

* fix: optomize dataloading for ambient profile

* docs: update installation

* feat: add functionality for batch ambient removal

* feat: add functionality for batch ambient removal

* fix: fix a bug and refactor dataloading

* fix: fix a bug

* fix: fix a bug

* fix: fix a bug

* fix: fix a bug

* refactor: refactor scar dataloader

* refactor: refactor codes for better GPU usage

* refactor: refactor codes for better GPU usage

* refactor: Refactor functions for compatibility with scipy 1.14

* refactor: load entire data to GPU

* refactor(scar): refactor dataloading to improve efficiency

* refactor(scar): refactor dataloading to improve efficiency

* refactor(scar): refactor dataloading to improve efficiency

* refactor(scar): refactor dataloading to improve efficiency

* feature(scar): introduce caching functionality

* doc(docs): update python version for readthedocs

* doc(docs): update sphinx-gallery version for readthedocs

* refactor(scar): delete unneccessary codes

* refactor(scar): refactor scar to allow efficient usage of GPU

* refactor(scar): refactor scar to allow efficient usage of GPU

* refactor(scar): refactor scar to allow efficient usage of GPU

* refactor(scar): refactor scar to allow efficient usage of GPU

* refactor(scar): not output native frequencies by default

* refactor(scar): refactor dataloader

* refactor(scar): remove redundant codes

* refactor(scar): optimize dataloading

* refactor(vae): refactor stochastic rounding for performance

* chore: rewrite device log information

* docs(scar): correct docs for scar

* docs(tutorials): update tutorial notebooks

* docs(scar): refactor docs

* docs(scar): add docs for cache_capacity parameter

* refactor(main): refactor command line tool

* refator(scar): refactor scar to automate calculation of ambient profile in the case of no ambient profile provided

* fix(main): fix a bug

* fix(main): fix a bug

* fix(test): lower down sample size for test

* docs(scar): update version in doc

* docs(tutorial): update notebooks

* docs(tutorial): add a tutorial for batch denoising

* refactor(docs): reset semantic_release to main branch

* docs(tutorial): update hyperlink

---------

Co-authored-by: EC2 Default User <[email protected]>
* fix: optomize dataloading for ambient profile

* fix: optomize dataloading for ambient profile

* docs: update installation

* feat: add functionality for batch ambient removal

* feat: add functionality for batch ambient removal

* fix: fix a bug and refactor dataloading

* fix: fix a bug

* fix: fix a bug

* fix: fix a bug

* fix: fix a bug

* refactor: refactor scar dataloader

* refactor: refactor codes for better GPU usage

* refactor: refactor codes for better GPU usage

* refactor: Refactor functions for compatibility with scipy 1.14

* refactor: load entire data to GPU

* refactor(scar): refactor dataloading to improve efficiency

* refactor(scar): refactor dataloading to improve efficiency

* refactor(scar): refactor dataloading to improve efficiency

* refactor(scar): refactor dataloading to improve efficiency

* feature(scar): introduce caching functionality

* doc(docs): update python version for readthedocs

* doc(docs): update sphinx-gallery version for readthedocs

* refactor(scar): delete unneccessary codes

* refactor(scar): refactor scar to allow efficient usage of GPU

* refactor(scar): refactor scar to allow efficient usage of GPU

* refactor(scar): refactor scar to allow efficient usage of GPU

* refactor(scar): refactor scar to allow efficient usage of GPU

* refactor(scar): not output native frequencies by default

* refactor(scar): refactor dataloader

* refactor(scar): remove redundant codes

* refactor(scar): optimize dataloading

* refactor(vae): refactor stochastic rounding for performance

* chore: rewrite device log information

* docs(scar): correct docs for scar

* docs(tutorials): update tutorial notebooks

* docs(scar): refactor docs

* docs(scar): add docs for cache_capacity parameter

* refactor(main): refactor command line tool

* refator(scar): refactor scar to automate calculation of ambient profile in the case of no ambient profile provided

* fix(main): fix a bug

* fix(main): fix a bug

* fix(test): lower down sample size for test

* docs(scar): update version in doc

* docs(tutorial): update notebooks

* docs(tutorial): add a tutorial for batch denoising

* refactor(docs): reset semantic_release to main branch

* docs(tutorial): update hyperlink

* fix(workflow): update semantic release

* fix(workflow): update semantic release

* fix(workflow): update semantic release

---------

Co-authored-by: EC2 Default User <[email protected]>
@CaibinSh CaibinSh added the semantic versioning trigger semantic release label Aug 14, 2024
@CaibinSh CaibinSh closed this Aug 14, 2024
Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Labels
semantic versioning trigger semantic release
Projects
None yet
Development

Successfully merging this pull request may close these issues.

1 participant