levmarq-torch
A basic PyTorch implementation of the Levenberg-Marquardt algorithm. This solves minimization problems of the form
$$\mathbf{x}^* = \mathrm{argmin}_{\mathbf{x}} |\mathbf{y} - \mathbf{\hat{y}}(\mathbf{x})|^2 , .$$
The implementation is batched over the parameters $\mathbf{x}$ and datapoints $\mathbf{y}$.
Based on implementation 1 from Gavin 2022 and some help from Connor Stone.
Installation
Running
git clone git@github.com:adam-coogan/levmarq-torch.git
cd levmarq-torch
pip install .
will install the levmarq_torch package.
1 maintainer
Metadata
1 maintainer
Release files for levmarq-torch 0.0.1
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Source distribution (sdist)
| File | Size | Uploaded | |
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| levmarq_torch-0.0.1.tar.gz | 5.0 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| levmarq_torch-0.0.1-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 10.7 kB
Release files / levmarq_torch-0.0.1.tar.gz
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Release files / levmarq_torch-0.0.1-py3-none-any.whl
| Download URL | levmarq_torch-0.0.1-py3-none-any.whl |
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| Size | 5.7 kB |
| Tags | Python 3 |
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