Metadata-Version: 2.1
Name: TorchDire
Version: 0.2.5
Summary: A PyTorch-based library with YAML automation
Home-page: https://github.com/rajboopathiking/TorchDire
Author: Boopathi Raj
Author-email: Boopathi Raj <rajboopathiking@gmail.com>
Keywords: pytorch,deep learning,automation,yaml
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Classifier: Topic :: Scientific/Engineering :: Artificial Intelligence
Requires-Python: >=3.8
Description-Content-Type: text/markdown
License-File: LICENSE
Requires-Dist: torch<2.3.0,>=2.0.0
Requires-Dist: PyYAML>=6.0
Requires-Dist: tqdm
Requires-Dist: numpy<2
Requires-Dist: matplotlib
Requires-Dist: seaborn
Requires-Dist: pandas
Requires-Dist: torchvision>=0.15.0
Requires-Dist: onnx
Requires-Dist: onnxruntime
Requires-Dist: onnxruntime-tools
Requires-Dist: timm
Provides-Extra: dev
Requires-Dist: pytest; extra == "dev"
Requires-Dist: pytest-cov; extra == "dev"
Requires-Dist: flake8; extra == "dev"
Requires-Dist: mypy; extra == "dev"
Requires-Dist: black; extra == "dev"

# TorchDire
Feature Rich Library for Building AI Models...

There are many Models and Utils included ,

Python Library :[pypi](https://pypi.org/project/TorchDire/)


Installation :

```bash
pip install TorchDire
```


SWIN_Control_Diff_Seg :[Docs](/TorchDire/models/Swin_Control_diff_seg/README.md)

DDP_Trainer: [Docs](/TorchDire/utils/DDP_Trainer/README.md)
