Masked Deep Autoregressive models for Density Estimation
Generic implementation of Masked Deep Autoregressive models for Density Estimation in PyTorch and PytorchLightning.
Installation
In order to network implementations install mdade via pip:
pip install mdade
In case you wish to employ the training procedures and datamodule implementations (on top of pytorch-lightning), you would need to install the additional tools as well:
pip install "mdade[tools]"
1 maintainer
Metadata
1 maintainer
Release files for mdade 0.0.5
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Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
|---|---|---|---|---|
| mdade-0.0.5.tar.gz | 20.0 kB | Without provenance | Details for mdade-0.0.5.tar.gz |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| mdade-0.0.5-py3-none-any.whl | Python 3 | none | any | Details for mdade-0.0.5-py3-none-any.whl |
Total release size: 44.9 kB
Release files / mdade-0.0.5.tar.gz
| Download URL | mdade-0.0.5.tar.gz |
|---|---|
| Size | 20.0 kB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
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Release files / mdade-0.0.5-py3-none-any.whl
| Download URL | mdade-0.0.5-py3-none-any.whl |
|---|---|
| Size | 24.9 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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No |
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twine/4.0.1 CPython/3.8.13
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Security for mdade 0.0.5
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