aitk: Artificial Intelligence Toolkit
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 - Emeritus Professor of Computer Science, Bryn Mawr College; Head of Research at Comet.ml
- Jim Marshall - Professor in the Computer Science Department at Sarah Lawrence College
- Lisa Meeden - Professor in the Computer Science Department at Swarthmore College
Computational Essays
Each computational essay is described at Computational Essays. Our computational essays and a suggested sequencing through the notebooks can be found in the notebooks folder of this repo.
Artifical Intelligence Toolkit
aitk is a Python package containing the following modules.
- aitk - top level package
- aitk.robots - for exploring simulated mobile robots, with cameras and sensors
- aitk.algorithms - for exploring algorithms
- aitk.networks - for constructing and visualizing Keras deep learning models
- aitk.utils - for common utilities
AITK Community
For questions and comments, please use https://github.com/ArtificialIntelligenceToolkit/aitk/discussions/.
1 maintainer
Metadata
1 maintainer
Release files for aitk 3.1.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
|---|---|---|---|---|
| aitk-3.1.0.tar.gz | 278.8 kB | Without provenance | Details for aitk-3.1.0.tar.gz |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| aitk-3.1.0-py3-none-any.whl | Python 3 | none | any | Details for aitk-3.1.0-py3-none-any.whl |
Total release size: 590.8 kB
Release files / aitk-3.1.0.tar.gz
| Download URL | aitk-3.1.0.tar.gz |
|---|---|
| Size | 278.8 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
4b9533f10b00ed7d199b93ec2ec84865435377960d8ae8377ed4dad9ba3d179d
|
|
BLAKE2b-256 checksum How to use checksums |
906fffe10106e5045cecb5148738e79f10a81262fe60f4d31f3401b698fa9f0e
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.1.0 CPython/3.12.2
|
Release files / aitk-3.1.0-py3-none-any.whl
| Download URL | aitk-3.1.0-py3-none-any.whl |
|---|---|
| Size | 312.0 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
08f0dbac587dcefe39dff1616817c2496cf270c620d856614f32b0fa8d7c0c62
|
|
BLAKE2b-256 checksum How to use checksums |
a658c7f061e7e051565fc98a80f68639b01096805f1e88bc1577f58eda7e9ed1
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.1.0 CPython/3.12.2
|
Security for aitk 3.1.0
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
No provenance found
None of the files in this release were uploaded with provenance metadata.
A note on package security
PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.
To learn more about protecting yourself from malicious actors, visit our package security documentation.
