Skip to main content

Find collective variables (CVs) by training neural networks.

Project description

ColVars Finder

Find collective variables (CVs) of molecular systems by training neural networks.

Two methods are implemented by either training autoencoder or computing eigenfunctions.

Installation

This package can be installed via pip:

pip install colvars-finder

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

colvars-finder-0.1.0.tar.gz (13.7 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

colvars_finder-0.1.0-py3-none-any.whl (14.4 kB view details)

Uploaded Python 3

File details

Details for the file colvars-finder-0.1.0.tar.gz.

File metadata

  • Download URL: colvars-finder-0.1.0.tar.gz
  • Upload date:
  • Size: 13.7 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.8.0 pkginfo/1.8.2 readme-renderer/34.0 requests/2.27.1 requests-toolbelt/0.9.1 urllib3/1.26.8 tqdm/4.62.3 importlib-metadata/4.8.2 keyring/23.5.0 rfc3986/2.0.0 colorama/0.4.4 CPython/3.9.10

File hashes

Hashes for colvars-finder-0.1.0.tar.gz
Algorithm Hash digest
SHA256 b511947a4ab29a78fa5a9f7e0a3d9ba85d4813b1f0a5855ba7f9428942fa6417
MD5 9a8c4556c68b91cb0451fb86238e1042
BLAKE2b-256 d635f9bfe2a2527c8fc24e2f5ca1c422d4dab4f215d4da06a3165c2e0ec45d4a

See more details on using hashes here.

File details

Details for the file colvars_finder-0.1.0-py3-none-any.whl.

File metadata

  • Download URL: colvars_finder-0.1.0-py3-none-any.whl
  • Upload date:
  • Size: 14.4 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.8.0 pkginfo/1.8.2 readme-renderer/34.0 requests/2.27.1 requests-toolbelt/0.9.1 urllib3/1.26.8 tqdm/4.62.3 importlib-metadata/4.8.2 keyring/23.5.0 rfc3986/2.0.0 colorama/0.4.4 CPython/3.9.10

File hashes

Hashes for colvars_finder-0.1.0-py3-none-any.whl
Algorithm Hash digest
SHA256 ed404f2a106834deecb27134c1182e7b2df497867a9ac540ddaefcea6e3d7453
MD5 067e7268352f4eb74362c4a92e5ad21d
BLAKE2b-256 424c2919c1f161b0107235fe6da31460737d8d018cbff860fe038a720ee8f242

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page