Metadata-Version: 2.1
Name: PyTorchLabFlow
Version: 0.1.8
Summary: PyTorchLabFlow is a lightweight framework that simplifies PyTorch experiment management, reducing setup time with reusable components for training, logging, and checkpointing. It streamlines workflows, making it ideal for fast and efficient model development.
Home-page: https://github.com/BBEK-Anand/PyTorchLabFlow
Author: BBEK-Anand
Author-email: 
License: MIT
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Requires-Python: >=3.7
Description-Content-Type: text/markdown
License-File: LICENSE
Requires-Dist: torch
Requires-Dist: matplotlib
Requires-Dist: pandas
Requires-Dist: tqdm

**PyTorchLabFlow** is your go-to offline solution for managing PyTorch experiments with ease. Run experiments securely on your local machine, no data sharing with third parties. Need more power? Seamlessly trasfer your setup to a high-end system without any reconfiguration. Wheather you are on a laptop or a workstation, PyTorchLabFlow ensures flexibility and privacy, allowing you to experiment anywhere, anytime, without internet dependency. [Read more at github](https://github.com/BBEK-Anand/PyTorchLabFlow)


# License
This project is licensed under the MIT License.
