Factual package intelligence from PyPI

noise2sim 0.1.2 package intelligence

Noise2Sim suppresses both independent and correlated nosies through training a neural networkin a self-supervised learning manner.

pip install noise2sim

Current version
0.1.2
Python requirement
Not declared
License
BSD 3-Clause License
Distribution type
Pure Python wheel
Release files
2 (1 wheels, 1 source)
Download size
85.9 KiB
Release history
2 releases with files
Median release cadence
13 days

noise2sim dependencies

PyPI declares 10 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. lmdb
  2. tqdm
  3. imageio
  4. addict
  5. opencv-python
  6. matplotlib
  7. pydicom
  8. scipy
  9. faiss-gpu
  10. scikit-image

Compatibility and release files

noise2sim publishes 1 wheel and 1 source archive for version 0.1.2. Wheel platform tags: any.

Declared Python classifiers: 3.6.

Metadata completeness

PyPI does not currently declare: Python requirement. PyDeps marks these fields as unknown instead of guessing values.

Release activity and sources

PyPI lists 2 releases with files. The first dated release is ; 2 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .