Metadata-Version: 2.4
Name: deepgate
Version: 0.11.1
Summary: Efficient ML framework with logic layers and quantization for edge deployment
Project-URL: Homepage, https://bitweaver.deepgate.ai
Author-email: DeepGate Team <info@deepgate.ai>
License-Expression: BUSL-1.1
License-File: LICENSE
Keywords: edge-deployment,efficient-ml,logic-layers,neural-networks,pytorch,quantization
Classifier: Development Status :: 3 - Alpha
Classifier: Intended Audience :: Science/Research
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.11
Classifier: Programming Language :: Python :: 3.12
Classifier: Topic :: Scientific/Engineering :: Artificial Intelligence
Requires-Python: >=3.10
Requires-Dist: numpy>=2.2.4
Requires-Dist: torch>=2.6.0
Requires-Dist: torchvision>=0.23.0
Provides-Extra: dev
Requires-Dist: pytest>=8.4.1; extra == 'dev'
Requires-Dist: ruff>=0.12.12; extra == 'dev'
Description-Content-Type: text/markdown

# deepgate

Build efficient ML layers for edge deployment.

## Install

```bash
pip install deepgate
```

## Usage

```python
import dg
```

The SDK ships with standard and quantized layers suitable for building and training models targeted at edge deployment. Logic layers are planned for a future release.

## Contact

info@deepgate.ai

## License

Licensed under the Business Source License 1.1. See [LICENSE](LICENSE) for terms.
