mltb2


Namemltb2 JSON
Version 1.0.1 PyPI version JSON
download
home_pagehttps://github.com/telekom/mltb2
SummaryMachine Learning Toolbox 2
upload_time2024-10-22 07:19:40
maintainerNone
docs_urlNone
authorPhilipMay
requires_python<4.0,>=3.9
licenseNone
keywords optuna deep learning ml ai machine learning hyperparameter optimization hyperparameter tuning nlp natural language processing transformers llm large-language-models openai plot
VCS
bugtrack_url
requirements No requirements were recorded.
Travis-CI No Travis.
coveralls test coverage No coveralls.
            # 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)
<br/>
[![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.

            

Raw data

            {
    "_id": null,
    "home_page": "https://github.com/telekom/mltb2",
    "name": "mltb2",
    "maintainer": null,
    "docs_url": null,
    "requires_python": "<4.0,>=3.9",
    "maintainer_email": null,
    "keywords": "optuna, deep learning, ml, ai, machine learning, hyperparameter optimization, hyperparameter tuning, nlp, natural language processing, transformers, llm, large-language-models, openai, plot",
    "author": "PhilipMay",
    "author_email": "philip@may.la",
    "download_url": "https://files.pythonhosted.org/packages/c8/ed/2a908ffe48b0992bb621f4061c78ad814beb75e7812ab8f467e9bb29a16d/mltb2-1.0.1.tar.gz",
    "platform": null,
    "description": "# Machine Learning Toolbox 2 - MLTB2\n\n[![MIT License](https://img.shields.io/github/license/telekom/mltb2)](https://github.com/telekom/mltb2/blob/main/LICENSE)\n[![Python Version](https://img.shields.io/pypi/pyversions/mltb2)](https://www.python.org)\n[![pypi](https://img.shields.io/pypi/v/mltb2.svg)](https://pypi.python.org/pypi/mltb2)\n[![Poetry](https://img.shields.io/endpoint?url=https://python-poetry.org/badge/v0.json)](https://github.com/telekom/mltb2/blob/main/pyproject.toml)\n<br/>\n[![pytest](https://github.com/telekom/mltb2/actions/workflows/pytest.yml/badge.svg)](https://github.com/telekom/mltb2/actions/workflows/pytest.yml)\n[![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)\n[![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)\n[![GitHub issues](https://img.shields.io/github/issues-raw/telekom/mltb2)](https://github.com/telekom/mltb2/issues)\n\n\ud83d\udce6 A box full of machine learning tools. \ud83d\udce6\n\n- [Documentation Page](https://telekom.github.io/mltb2/)\n- [How to contribute](https://github.com/telekom/mltb2/blob/main/CONTRIBUTING.md)\n\n## Installation\n\nMLTB2 is available at [the Python Package Index (PyPI)](https://pypi.org/project/mltb2/).\nIt can be installed with pip:\n\n```bash\npip install mltb2\n```\n\nFor many modules optional dependencies are necessary.\nThose optional dependencies must be installed when you want to use the module.\nTo install those module specific dependencies see\n[the description of the individual modules](https://telekom.github.io/mltb2/api-reference.html).\n\n## Licensing\n\nCopyright (c) 2023-2024 [Philip May](https://philipmay.org)\\\nCopyright (c) 2023-2024 [Philip May](https://philipmay.org), [Deutsche Telekom AG](https://www.telekom.de/)\\\nCopyright (c) 2023-2024 Alaeddine Abdessalem, [Deutsche Telekom AG](https://www.telekom.de/)\n\nLicensed under the **MIT License** (the \"License\"); you may not use this file except in compliance with the License.\nYou may obtain a copy of the License by reviewing the file\n[LICENSE](https://github.com/telekom/mltb2/blob/main/LICENSE) in the repository.\n",
    "bugtrack_url": null,
    "license": null,
    "summary": "Machine Learning Toolbox 2",
    "version": "1.0.1",
    "project_urls": {
        "Bug Tracker": "https://github.com/telekom/mltb2/issues",
        "Documentation": "https://telekom.github.io/mltb2/",
        "Homepage": "https://github.com/telekom/mltb2"
    },
    "split_keywords": [
        "optuna",
        " deep learning",
        " ml",
        " ai",
        " machine learning",
        " hyperparameter optimization",
        " hyperparameter tuning",
        " nlp",
        " natural language processing",
        " transformers",
        " llm",
        " large-language-models",
        " openai",
        " plot"
    ],
    "urls": [
        {
            "comment_text": "",
            "digests": {
                "blake2b_256": "a4919f3c8e734c69b47af676c852838ce4ed41b07bd0603edbe120e40979bfc4",
                "md5": "bdc2a40cceaec38dab311b957d71eda0",
                "sha256": "dd7900e3639d96b2c21a2ac107aea410a09d123539d9b7f39e5d432e49463fba"
            },
            "downloads": -1,
            "filename": "mltb2-1.0.1-py3-none-any.whl",
            "has_sig": false,
            "md5_digest": "bdc2a40cceaec38dab311b957d71eda0",
            "packagetype": "bdist_wheel",
            "python_version": "py3",
            "requires_python": "<4.0,>=3.9",
            "size": 38173,
            "upload_time": "2024-10-22T07:19:39",
            "upload_time_iso_8601": "2024-10-22T07:19:39.509696Z",
            "url": "https://files.pythonhosted.org/packages/a4/91/9f3c8e734c69b47af676c852838ce4ed41b07bd0603edbe120e40979bfc4/mltb2-1.0.1-py3-none-any.whl",
            "yanked": false,
            "yanked_reason": null
        },
        {
            "comment_text": "",
            "digests": {
                "blake2b_256": "c8ed2a908ffe48b0992bb621f4061c78ad814beb75e7812ab8f467e9bb29a16d",
                "md5": "08f8e7160f495c4f5ecf660064599bbe",
                "sha256": "26bc5b48ff76e76bad3e9be61ac99d88208226c4b4dcea474e65788949734dac"
            },
            "downloads": -1,
            "filename": "mltb2-1.0.1.tar.gz",
            "has_sig": false,
            "md5_digest": "08f8e7160f495c4f5ecf660064599bbe",
            "packagetype": "sdist",
            "python_version": "source",
            "requires_python": "<4.0,>=3.9",
            "size": 31303,
            "upload_time": "2024-10-22T07:19:40",
            "upload_time_iso_8601": "2024-10-22T07:19:40.684658Z",
            "url": "https://files.pythonhosted.org/packages/c8/ed/2a908ffe48b0992bb621f4061c78ad814beb75e7812ab8f467e9bb29a16d/mltb2-1.0.1.tar.gz",
            "yanked": false,
            "yanked_reason": null
        }
    ],
    "upload_time": "2024-10-22 07:19:40",
    "github": true,
    "gitlab": false,
    "bitbucket": false,
    "codeberg": false,
    "github_user": "telekom",
    "github_project": "mltb2",
    "travis_ci": false,
    "coveralls": false,
    "github_actions": true,
    "lcname": "mltb2"
}
        
Elapsed time: 0.41102s