# aitk: Artificial Intelligence Toolkit
[![DOI](https://zenodo.org/badge/339135763.svg)](https://zenodo.org/badge/latestdoi/339135763)
This collection contains two things: an open source set of Python tools, and a set of computational essays for exploring Artificial Intelligence, Machine Learning, and Robotics. This is a collaborative effort started by the authors, building on almost a century of collective experience in education and research.
The code and essays are designed to require as few computing resources as necessary, while still allowing readers to experience first-hand the topics covered.
## Authors
* [Douglas Blank](https://github.com/dsblank/) - Emeritus Professor of Computer Science, Bryn Mawr College; Head of Research at [Comet.ml](https://comet.ml/)
* [Jim Marshall](http://science.slc.edu/~jmarshall/) - Professor in the Computer Science Department at Sarah Lawrence College
* [Lisa Meeden](https://www.cs.swarthmore.edu/~meeden/) - Professor in the Computer Science Department at Swarthmore College
## Computational Essays
Each computational essay is described at [Computational Essays](https://github.com/ArtificialIntelligenceToolkit/aitk/blob/master/ComputationalEssays.md). Our computational essays and a suggested sequencing through the notebooks can be found in the [notebooks folder](https://github.com/ArtificialIntelligenceToolkit/aitk/tree/master/notebooks) of this repo.
## Artifical Intelligence Toolkit
`aitk` is a Python package containing the following modules.
* [aitk]() - top level package
* [aitk.robots](https://github.com/ArtificialIntelligenceToolkit/aitk/tree/master/docs/robots) - for exploring simulated mobile robots, with cameras and sensors
* [aitk.algorithms](https://github.com/ArtificialIntelligenceToolkit/aitk/tree/master/docs/algorithms/) - for exploring algorithms
* [aitk.networks](https://github.com/ArtificialIntelligenceToolkit/aitk/tree/master/docs/networks/) - for constructing and visualizing Keras deep learning models
* [aitk.utils](https://github.com/ArtificialIntelligenceToolkit/aitk/tree/master/docs/utils/) - for common utilities
## AITK Community
For questions and comments, please use https://github.com/ArtificialIntelligenceToolkit/aitk/discussions/.
Raw data
{
"_id": null,
"home_page": "https://github.com/ArtificialIntelligenceToolkit/aitk",
"name": "aitk",
"maintainer": null,
"docs_url": null,
"requires_python": ">=3.9",
"maintainer_email": null,
"keywords": "ai, artificial intelligence, robots, simulator, jupyter, python, machine learning, neural networks, keras, tensorflow",
"author": "Douglas Blank",
"author_email": null,
"download_url": "https://files.pythonhosted.org/packages/3d/4f/d21d067d0ad71cc00d3dcebbdbfc069f2ab526da3725da713961f1a58bc3/aitk-3.0.1.tar.gz",
"platform": "Linux",
"description": "# aitk: Artificial Intelligence Toolkit\n\n[![DOI](https://zenodo.org/badge/339135763.svg)](https://zenodo.org/badge/latestdoi/339135763)\n\nThis collection contains two things: an open source set of Python tools, and a set of computational essays for exploring Artificial Intelligence, Machine Learning, and Robotics. This is a collaborative effort started by the authors, building on almost a century of collective experience in education and research.\n\nThe code and essays are designed to require as few computing resources as necessary, while still allowing readers to experience first-hand the topics covered.\n\n## Authors\n\n* [Douglas Blank](https://github.com/dsblank/) - Emeritus Professor of Computer Science, Bryn Mawr College; Head of Research at [Comet.ml](https://comet.ml/)\n* [Jim Marshall](http://science.slc.edu/~jmarshall/) - Professor in the Computer Science Department at Sarah Lawrence College\n* [Lisa Meeden](https://www.cs.swarthmore.edu/~meeden/) - Professor in the Computer Science Department at Swarthmore College\n\n## Computational Essays\n\nEach computational essay is described at [Computational Essays](https://github.com/ArtificialIntelligenceToolkit/aitk/blob/master/ComputationalEssays.md). Our computational essays and a suggested sequencing through the notebooks can be found in the [notebooks folder](https://github.com/ArtificialIntelligenceToolkit/aitk/tree/master/notebooks) of this repo.\n\n## Artifical Intelligence Toolkit\n\n`aitk` is a Python package containing the following modules.\n\n* [aitk]() - top level package\n * [aitk.robots](https://github.com/ArtificialIntelligenceToolkit/aitk/tree/master/docs/robots) - for exploring simulated mobile robots, with cameras and sensors\n * [aitk.algorithms](https://github.com/ArtificialIntelligenceToolkit/aitk/tree/master/docs/algorithms/) - for exploring algorithms\n * [aitk.networks](https://github.com/ArtificialIntelligenceToolkit/aitk/tree/master/docs/networks/) - for constructing and visualizing Keras deep learning models\n * [aitk.utils](https://github.com/ArtificialIntelligenceToolkit/aitk/tree/master/docs/utils/) - for common utilities\n\n## AITK Community\n\nFor questions and comments, please use https://github.com/ArtificialIntelligenceToolkit/aitk/discussions/.\n",
"bugtrack_url": null,
"license": "BSD-3-Clause",
"summary": "Python tools for AI",
"version": "3.0.1",
"project_urls": {
"Homepage": "https://github.com/ArtificialIntelligenceToolkit/aitk"
},
"split_keywords": [
"ai",
" artificial intelligence",
" robots",
" simulator",
" jupyter",
" python",
" machine learning",
" neural networks",
" keras",
" tensorflow"
],
"urls": [
{
"comment_text": "",
"digests": {
"blake2b_256": "9e88ff5c674f81dacd970c0d0b0ba582dfcf184a8c36b06d86a8a2d3f6a82f9c",
"md5": "ca02dec955d9fdc51970c6f15362b857",
"sha256": "dd908efecf3bf3f84c0d25caa59f050c3d1b4eeb977fe9cdf3a3c8044985b46e"
},
"downloads": -1,
"filename": "aitk-3.0.1-py3-none-any.whl",
"has_sig": false,
"md5_digest": "ca02dec955d9fdc51970c6f15362b857",
"packagetype": "bdist_wheel",
"python_version": "py3",
"requires_python": ">=3.9",
"size": 310299,
"upload_time": "2024-10-21T18:00:07",
"upload_time_iso_8601": "2024-10-21T18:00:07.320319Z",
"url": "https://files.pythonhosted.org/packages/9e/88/ff5c674f81dacd970c0d0b0ba582dfcf184a8c36b06d86a8a2d3f6a82f9c/aitk-3.0.1-py3-none-any.whl",
"yanked": false,
"yanked_reason": null
},
{
"comment_text": "",
"digests": {
"blake2b_256": "3d4fd21d067d0ad71cc00d3dcebbdbfc069f2ab526da3725da713961f1a58bc3",
"md5": "f8d253e827187b3fe8a3f2ccd263c266",
"sha256": "d1030e1d43715182543d28915174ebca594218674e26690e9b47f8e95b179f67"
},
"downloads": -1,
"filename": "aitk-3.0.1.tar.gz",
"has_sig": false,
"md5_digest": "f8d253e827187b3fe8a3f2ccd263c266",
"packagetype": "sdist",
"python_version": "source",
"requires_python": ">=3.9",
"size": 277216,
"upload_time": "2024-10-21T18:00:09",
"upload_time_iso_8601": "2024-10-21T18:00:09.147710Z",
"url": "https://files.pythonhosted.org/packages/3d/4f/d21d067d0ad71cc00d3dcebbdbfc069f2ab526da3725da713961f1a58bc3/aitk-3.0.1.tar.gz",
"yanked": false,
"yanked_reason": null
}
],
"upload_time": "2024-10-21 18:00:09",
"github": true,
"gitlab": false,
"bitbucket": false,
"codeberg": false,
"github_user": "ArtificialIntelligenceToolkit",
"github_project": "aitk",
"travis_ci": false,
"coveralls": false,
"github_actions": false,
"lcname": "aitk"
}