ColVars Finder
Find collective variables (CVs) of dynamical systems by training neural networks.
Two methods are implemented by either training autoencoder or computing eigenfunctions.
This package is under development.
Installation
This package can be installed via pip:
pip install colvars-finder
Documentataion
Please refer to ColVars-Finder docs.
Metadata
Release files for colvars-finder 0.1.14
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| colvars-finder-0.1.14.tar.gz | 18.5 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| colvars_finder-0.1.14-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 38.1 kB
Release files / colvars-finder-0.1.14.tar.gz
| Download URL | colvars-finder-0.1.14.tar.gz |
|---|---|
| Size | 18.5 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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twine/3.1.1 pkginfo/1.4.2 requests/2.22.0 setuptools/45.2.0 requests-toolbelt/0.8.0 tqdm/4.30.0 CPython/3.8.10
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Release files / colvars_finder-0.1.14-py3-none-any.whl
| Download URL | colvars_finder-0.1.14-py3-none-any.whl |
|---|---|
| Size | 19.6 kB |
| Tags | Python 3 |
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SHA-256 checksum How to use checksums |
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twine/3.1.1 pkginfo/1.4.2 requests/2.22.0 setuptools/45.2.0 requests-toolbelt/0.8.0 tqdm/4.30.0 CPython/3.8.10
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