kumar 3.0.0

`kumar` is a Python package that provides two high-level features.

Dump the software license list of Python packages installed with pip.

Table of Contents

• Description

• Installation

• License

• Dependencies

• Reference

• Uninstallation

• Contributing

• CHANGELOG

Description

kumar is a Python package that provides two high-level features.

installation

pip install kumar==<version>



            OR



pip install kumar

license

MIT Licence

Dependencies

• torch

• tqdm this is progress bar library

• datasets this is dataset libarary by huggingface

• tokenizers this is tokenizers libary by huggingface

• tensorboard TensorBoard is a visualization toolkit for machine learning experimentation. TensorBoard allows tracking and visualizing metrics such as loss and accuracy, visualizing the model graph, viewing histograms, displaying images and much more. In this tutorial we are going to cover TensorBoard installation, basic usage with PyTorch, and how to visualize data you logged in TensorBoard UI.

Uninstallation

Uninstall package and dependent package with pip command .

pip uninstall kumar torch tqdm datasets tokenizers tensorboard

Contributing

See contribution guidelines .

CHANGELOG

1.0.0

• First Implemention version

  • Add a function

    • BilingualDataset()

    • build_transformer()

2.0.0

• solve some Error, I will Get the package error

2.1.0

• First Stable relased version

2.2.0

• Improve document

  • Update the README document

  • Add the Licence

  • some Required Things

2.3.0

• Update the Libarary

  • add the Diffusion model function

  • update the Readme document