Toolbox for running N2V and friends.

Navigation

Verified details

These details have been verified by PyPI
Project links
GitHub Statistics
Maintainers
Avatar for jdeschamps from gravatar.com jdeschamps

Unverified details

These details have not been verified by PyPI
Project links
Meta
  • License: BSD License (BSD-3-Clause)
  • Author: CAREamics team
  • Requires: Python >=3.11
  • Provides-Extra: czi , examples , tensorboard , wandb
Classifiers
Report project as malware

Project description

CAREamics

License PyPI Python Version CI codecov Image.sc

CAREamics is a PyTorch library aimed at simplifying the use of Noise2Void and its many variants and cousins (CARE, Noise2Noise, N2V2, P(P)N2V, HDN, muSplit etc.).

Why CAREamics?

Noise2Void is a widely used denoising algorithm, and is readily available from the n2v python package. However, n2v is based on TensorFlow, while more recent methods denoising methods (PPN2V, DivNoising, HDN) are all implemented in PyTorch, but are lacking the extra features that would make them usable by the community.

The aim of CAREamics is to provide a PyTorch library reuniting all the latest methods in one package, while providing a simple and consistent API. The library relies on PyTorch Lightning as a back-end. In addition, we will provide extensive documentation and tutorials on how to best apply these methods in a scientific context.

Installation and use

Check out the documentation for installation instructions and guides!

Project details

Verified details

These details have been verified by PyPI
Project links
GitHub Statistics
Maintainers
Avatar for jdeschamps from gravatar.com jdeschamps

Unverified details

These details have not been verified by PyPI
Project links
Meta
  • License: BSD License (BSD-3-Clause)
  • Author: CAREamics team
  • Requires: Python >=3.11
  • Provides-Extra: czi , examples , tensorboard , wandb
Classifiers

Release history Release notifications | RSS feed

This version

0.3.2

0.3.1

0.3.0

0.2.0

0.1.0

0.0.22

0.0.21

0.0.20

0.0.19

0.0.18

0.0.17

0.0.16

0.0.15

0.0.14

0.0.13

0.0.12

0.0.11

0.0.10

0.0.9

0.0.8

0.0.7

0.0.6

0.0.5

0.0.4.2

0.0.4.1

0.0.4

0.0.3

0.0.2

0.0.1

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

careamics-0.3.2.tar.gz (683.5 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

careamics-0.3.2-py3-none-any.whl (418.9 kB view details)

Uploaded Python 3

File details

Details for the file careamics-0.3.2.tar.gz.

File metadata

  • Download URL: careamics-0.3.2.tar.gz
  • Upload date:
  • Size: 683.5 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: uv/0.9.0

File hashes

Hashes for careamics-0.3.2.tar.gz
Algorithm Hash digest
SHA256 107ab56b5ebf9b8fc12b60689c8bd33b189ad0b67e70123fde6064b53efb4469
MD5 eb7042c82e5983adea5a1441d63e4128
BLAKE2b-256 b69d204eff9595061e1e22f003eb9eec5f1782b3bba309f3798a59254fe82abe

See more details on using hashes here.

File details

Details for the file careamics-0.3.2-py3-none-any.whl.

File metadata

  • Download URL: careamics-0.3.2-py3-none-any.whl
  • Upload date:
  • Size: 418.9 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: uv/0.9.0

File hashes

Hashes for careamics-0.3.2-py3-none-any.whl
Algorithm Hash digest
SHA256 b1d1c05ec32caa95f1c4c3698c48c6d71177c271456eb200daa05e315f1b98d9
MD5 6ff2e22aa90bbf4f2854c8d9b4be6ac9
BLAKE2b-256 3560d8607af3c3932a4c95accd83259a9042362690f74b5ad97b112980b55fbd

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page