This library provides tools for generative modeling of tabular datasets using normalizing flows. Some of it's features include:
- Density estimation.
- Joint + conditional sampling.
- Categorical + continuous values.
- Normalizing flows from RealNVP and MADE.
To get started with EchoFlow, check out our documentation here! Or, learn more about this project from our blog post here.
Metadata
Release files for echoflow 0.0.2
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Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
|---|---|---|---|---|
| echoflow-0.0.2.tar.gz | 135.5 kB | Without provenance | Details for echoflow-0.0.2.tar.gz |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| echoflow-0.0.2-py2.py3-none-any.whl | Python 2, Python 3 | none | any | Details for echoflow-0.0.2-py2.py3-none-any.whl |
Total release size: 148.5 kB
Release files / echoflow-0.0.2.tar.gz
| Download URL | echoflow-0.0.2.tar.gz |
|---|---|
| Size | 135.5 kB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
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Release files / echoflow-0.0.2-py2.py3-none-any.whl
| Download URL | echoflow-0.0.2-py2.py3-none-any.whl |
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| Size | 13.0 kB |
| Tags | Python 2 Python 3 |
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