[WIP] torchbearer.visual
A visualisations library for PyTorch with torchbearer
Contents
About
Torchbearer.variational is a companion package to torchbearer which is intended to re-implement state of the art practices in filter and feature visualisation.
Installation
TBC
Release files for torchbearer-visual 0.1.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| torchbearer_visual-0.1.0.tar.gz | 12.6 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| torchbearer_visual-0.1.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 32.5 kB
Release files / torchbearer_visual-0.1.0.tar.gz
| Download URL | torchbearer_visual-0.1.0.tar.gz |
|---|---|
| Size | 12.6 kB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
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twine/1.13.0 pkginfo/1.4.2 requests/2.21.0 setuptools/40.0.0 requests-toolbelt/0.9.1 tqdm/4.19.9 CPython/3.6.7
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Release files / torchbearer_visual-0.1.0-py3-none-any.whl
| Download URL | torchbearer_visual-0.1.0-py3-none-any.whl |
|---|---|
| Size | 19.9 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/1.13.0 pkginfo/1.4.2 requests/2.21.0 setuptools/40.0.0 requests-toolbelt/0.9.1 tqdm/4.19.9 CPython/3.6.7
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