Diresa - distance-regularized siamese twin autoencoder
Project description
DIRESA-Torch
Overview
DIRESA-Torch is a Python package for dimension reduction based on PyTorch. The distance-regularized Siamese twin autoencoder architecture is designed to preserve distance (ordering) in latent space while capturing the non-linearities in the datasets.
Install DIRESA-Torch
Install DIRESA-Torch with the following command:
pip install diresa-torch
Documentation
The DIRESA documentation can be found on Read the Docs
Release history Release notifications | RSS feed
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 diresa_torch-1.0.0.tar.gz.
File metadata
- Download URL: diresa_torch-1.0.0.tar.gz
- Upload date:
- Size: 19.3 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.2.0 CPython/3.11.7
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
c9f2cdb476ae14e776c887021944551a9fe0d06891e32e27c9eca9e4cf4ac7c8
|
|
| MD5 |
6a8f13b765a2ee097a9c6dad1d531a63
|
|
| BLAKE2b-256 |
2509ba68dc8c860b53e452b326da1e4c76c846b69726e1704b3dc899302b80d4
|
File details
Details for the file diresa_torch-1.0.0-py3-none-any.whl.
File metadata
- Download URL: diresa_torch-1.0.0-py3-none-any.whl
- Upload date:
- Size: 24.5 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.2.0 CPython/3.11.7
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
d5e10abd6e0dfc7159abba2dd482a9f90aae3862768752ca817073d92aafe751
|
|
| MD5 |
e2a106d9b6083afca3ba5237f6cf4c43
|
|
| BLAKE2b-256 |
4945d9b7d16cfd9ad4a9fec780e6b5ab9c93d610be4e3d885169f6b5e2509717
|
