This package tries to build AI methods from the machine learning based brain function models (Domigos, 2012; Doya, 2000) and manifold distribution law (Tenenbaum et al., 2000; Lei et al., 2020). It plans to contain both object-oriented APIs and functional APIs. This package is still under development. Original authors may contact the developer due to license issues.
References
- Domingos, P. (2012). A few useful things to know about machine learning. Communications of the ACM, 55(10), 78-87.
- Doya, K. (2000). Complementary roles of basal ganglia and cerebellum in learning and motor control. Current opinion in neurobiology, 10(6), 732-739.
- Lei, N., An, D., Guo, Y., Su, K., Liu, S., Luo, Z., ... & Gu, X. (2020). A geometric understanding of deep learning. Engineering, 6(3), 361-374.
- Tenenbaum, J. B., Silva, V. D., & Langford, J. C. (2000). A global geometric framework for nonlinear dimensionality reduction. science, 290(5500), 2319-2323.
Required packages: ffmpeg
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Release files for psyaitools 0.1.6
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| psyaitools-0.1.6.tar.gz | 18.7 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| psyaitools-0.1.6-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 39.2 kB
Release files / psyaitools-0.1.6.tar.gz
| Download URL | psyaitools-0.1.6.tar.gz |
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| Size | 18.7 kB |
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Release files / psyaitools-0.1.6-py3-none-any.whl
| Download URL | psyaitools-0.1.6-py3-none-any.whl |
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| Size | 20.6 kB |
| Tags | Python 3 |
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