Supporting Modules for MachineLearning.
Project description
StealthFlow
ResNeSt (TFlayer)
see (JP): https://note.com/hyper_pigeon/n/n12988580739d
x = ResNeStBlock(radix=2, cardinality=2, bottleneck=64, ratio=4)(x)
FID (4-D Tensor x2 -> FID score)
see (JP): https://note.com/hyper_pigeon/n/n9c5643413cd7
Numpy
fid_score = FIDNumpy(batch_size=50, scaling=True, verbose=1)(images1, images2)
TF
fid_score = FIDTF(batch_size=50, scaling=True, verbose=1)(images1, images2)
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distributions
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file StealthFlow-0.0.13-py3-none-any.whl.
File metadata
- Download URL: StealthFlow-0.0.13-py3-none-any.whl
- Upload date:
- Size: 8.9 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/3.1.1 pkginfo/1.5.0.1 requests/2.22.0 setuptools/46.2.0 requests-toolbelt/0.9.1 tqdm/4.40.2 CPython/3.6.9
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
54f71d78db8d74fc2ff7cb267d273bfa195dfcd600bc6acaa14261ed1749a06b
|
|
| MD5 |
56ac8970754c8c190e3e10624c6d890c
|
|
| BLAKE2b-256 |
96442f2b5ae898500a43f5ba53783d50465eeb9c5b7719f2ff8fb0a5a847697c
|
