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Develop #82

Merged
merged 49 commits into from
Aug 14, 2024
Merged

Develop #82

merged 49 commits into from
Aug 14, 2024

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CaibinSh
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@CaibinSh CaibinSh self-assigned this Aug 12, 2024
@CaibinSh CaibinSh merged commit b0d3e2f into main Aug 14, 2024
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CaibinSh added a commit that referenced this pull request Aug 14, 2024
This reverts commit b0d3e2f.
CaibinSh added a commit that referenced this pull request Aug 14, 2024
This reverts commit b0d3e2f.
CaibinSh added a commit that referenced this pull request Aug 14, 2024
* 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

* Develop (#82)

* 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 <ec2-user@ip-172-16-10-142.us-east-2.compute.internal>

* fix(workflow): update semantic release

* fix(workflow): update semantic release

* fix(workflow): update semantic release

* update semantic release (#84)

* 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 <ec2-user@ip-172-16-10-142.us-east-2.compute.internal>

* fix(workflow): update semantic release

* chore: change semantic release branch

* chore: change semantic release branch

* chore: change semantic release branch

* chore: change semantic release branch

---------

Co-authored-by: EC2 Default User <ec2-user@ip-172-16-10-142.us-east-2.compute.internal>
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