https://github.com/telekom/mltb2

Machine Learning Toolbox 2
https://github.com/telekom/mltb2

ai deep-learning hyperparameter-optimization hyperparameter-tuning large-language-models llm machine-learning ml natural-language-processing nlp openai optuna plot transformers

Last synced: 2 months ago
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Machine Learning Toolbox 2

• Host: GitHub
• URL: https://github.com/telekom/mltb2
• Owner: telekom
• License: mit
• Created: 2023-05-27T19:11:52.000Z (over 1 year ago)
• Default Branch: main
• Last Pushed: 2024-07-03T13:58:44.000Z (7 months ago)
• Last Synced: 2024-07-06T03:30:30.884Z (7 months ago)
• Topics: ai, deep-learning, hyperparameter-optimization, hyperparameter-tuning, large-language-models, llm, machine-learning, ml, natural-language-processing, nlp, openai, optuna, plot, transformers
• Language: Python
• Homepage: https://telekom.github.io/mltb2/
• Size: 3.6 MB
• Stars: 10
• Watchers: 6
• Forks: 4
• Open Issues: 29
• Metadata Files:
  • Readme: README.md
  • Contributing: CONTRIBUTING.md
  • License: LICENSE

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README

        
# Machine Learning Toolbox 2 - MLTB2

[![MIT License](https://img.shields.io/github/license/telekom/mltb2)](https://github.com/telekom/mltb2/blob/main/LICENSE)

[![Python Version](https://img.shields.io/pypi/pyversions/mltb2)](https://www.python.org)

[![pypi](https://img.shields.io/pypi/v/mltb2.svg)](https://pypi.python.org/pypi/mltb2)

[![Poetry](https://img.shields.io/endpoint?url=https://python-poetry.org/badge/v0.json)](https://github.com/telekom/mltb2/blob/main/pyproject.toml)




[![pytest](https://github.com/telekom/mltb2/actions/workflows/pytest.yml/badge.svg)](https://github.com/telekom/mltb2/actions/workflows/pytest.yml)

[![Static Code Checks](https://github.com/telekom/mltb2/actions/workflows/static_checks.yml/badge.svg)](https://github.com/telekom/mltb2/actions/workflows/static_checks.yml)

[![Build & Deploy Doc](https://github.com/telekom/mltb2/actions/workflows/build_deploy_doc.yml/badge.svg)](https://github.com/telekom/mltb2/actions/workflows/build_deploy_doc.yml)

[![GitHub issues](https://img.shields.io/github/issues-raw/telekom/mltb2)](https://github.com/telekom/mltb2/issues)

📦 A box full of machine learning tools. 📦

- [Documentation Page](https://telekom.github.io/mltb2/)

- [How to contribute](https://github.com/telekom/mltb2/blob/main/CONTRIBUTING.md)

## Installation

MLTB2 is available at [the Python Package Index (PyPI)](https://pypi.org/project/mltb2/).

It can be installed with pip:

```bash

pip install mltb2

```

For many modules optional dependencies are necessary.

Those optional dependencies must be installed when you want to use the module.

To install those module specific dependencies see

[the description of the individual modules](https://telekom.github.io/mltb2/api-reference.html).

## Licensing

Copyright (c) 2023-2024 [Philip May](https://philipmay.org)\

Copyright (c) 2023-2024 [Philip May](https://philipmay.org), [Deutsche Telekom AG](https://www.telekom.de/)\

Copyright (c) 2023-2024 Alaeddine Abdessalem, [Deutsche Telekom AG](https://www.telekom.de/)

Licensed under the **MIT License** (the "License"); you may not use this file except in compliance with the License.

You may obtain a copy of the License by reviewing the file

[LICENSE](https://github.com/telekom/mltb2/blob/main/LICENSE) in the repository.