A pytorch tool for feature visualizations of various types
Project description
faccent
feature accentuation: image-seeded feature visualizations
Setup
Create a virtual environment for the software.
python3 -m venv envsource env/bin/activate
Install dependencies: pip install -r requirements.txt
Add the circuit_explorer package itself: pip install -e .
Make the virtual environment available to jupyter notebooks: python -m ipykernel install --user --name=faccent
Tutorials
License and Disclaimer
You may use this software under the MIT License. See LICENSE.
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
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 faccent-1.0.tar.gz.
File metadata
- Download URL: faccent-1.0.tar.gz
- Upload date:
- Size: 84.0 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.2 CPython/3.7.13
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
9fee2dda1c8f2b0500dab4bfe8b36bdb503acb7d9d52aa5823974494a0166feb
|
|
| MD5 |
c6e52208fd5516ff79e929dc69932f38
|
|
| BLAKE2b-256 |
1038caa130098c0dc62122847f6c1c5f0d4aaf044b9d33e45156e63370148aef
|
File details
Details for the file faccent-1.0-py3-none-any.whl.
File metadata
- Download URL: faccent-1.0-py3-none-any.whl
- Upload date:
- Size: 95.9 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.2 CPython/3.7.13
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
d21182fb32318d3dfe22cc0988129c13f64e5b34a6d17446105a8cb4698ef084
|
|
| MD5 |
11864d7545e33fbe366882443f379173
|
|
| BLAKE2b-256 |
e05d487134d2c80363b06eb4397ccc41b052634d2ebce761af1701a10edae850
|
