pymlip
This python package is a collection of scripts to use for training machine learning interatomic potentials, or mlips, in python.
This package is currently interfaced to the following codes
- Nequip
- Allegro
Learning Rate Module
In the pymlip/lrlambda.py file, there are pre-defined learning rate schedules which are compatible with Nequip directly. See the examples folder to see how to input these learning rates into the nequip.yaml files.
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Metadata
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Release files for tgm-pymlip 0.0.2
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| tgm-pymlip-0.0.2.tar.gz | 18.4 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| tgm_pymlip-0.0.2-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 35.2 kB
Release files / tgm-pymlip-0.0.2.tar.gz
| Download URL | tgm-pymlip-0.0.2.tar.gz |
|---|---|
| Size | 18.4 kB |
| Tags | Source |
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Release files / tgm_pymlip-0.0.2-py3-none-any.whl
| Download URL | tgm_pymlip-0.0.2-py3-none-any.whl |
|---|---|
| Size | 16.8 kB |
| Tags | Python 3 |
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