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Author:
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Summary:
Collection of representation learning models, techniques, callbacks, utils, used to create latent variable models of cell shape, morphology and intracellular organization.
Latest version:
0.6.2
Required dependencies:
anndata
|
astropy
|
bioio
|
bioio-base
|
bioio-czi
|
bioio-ome-tiff
|
bioio-ome-zarr
|
bioio-tifffile
|
boto3
|
edt
|
einops
|
fire
|
hydra-colorlog
|
hydra-core
|
hydra-optuna-sweeper
|
lightning
|
matplotlib
|
mlflow
|
monai
|
numpy
|
ome-zarr
|
omegaconf
|
online-stats
|
opencv-python
|
pandas
|
positional-encodings
|
pyarrow
|
pyrootutils
|
pyyaml
|
rich
|
scikit-learn
|
tifffile
|
timm
|
torch
|
tqdm
|
universal-pathlib
Optional dependencies:
aicscytoparam
|
aicsshparam
|
boto3
|
cyto-dl
|
e3nn
|
escnn
|
furo
|
geomloss
|
gorilla
|
lie_learn
|
m2r2
|
ninja
|
point-cloud-utils
|
py3nj
|
pyntcloud
|
pyshtools
|
pytest
|
pytest-cov
|
s3fs
|
sphinx
|
torch-geometric
|
torchio
|
torchserve
|
vtk
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