SynPro 🔥
SynPro is an advanced synthetic data generation library that helps you produce realistic synthetic tabular data for data science tasks using state-of-the-art GAN methods.
Features 🚀
- ✅ Easy-to-use API
- ✅ Supports conditional data generation
- ✅ Multiple advanced GAN losses (WGAN-GP, R1, Hinge)
- ✅ Mixed-precision training for faster GPU training
- ✅ Spectral normalization for stable training
Installation ⚙️
pip install synpro
1 maintainer
Metadata
1 maintainer
Release files for synpro 0.1.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| synpro-0.1.0.tar.gz | 13.7 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| synpro-0.1.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 28.2 kB
Release files / synpro-0.1.0.tar.gz
| Download URL | synpro-0.1.0.tar.gz |
|---|---|
| Size | 13.7 kB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.1.0 CPython/3.11.5
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Release files / synpro-0.1.0-py3-none-any.whl
| Download URL | synpro-0.1.0-py3-none-any.whl |
|---|---|
| Size | 14.5 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.1.0 CPython/3.11.5
|
