Metadata-Version: 2.1
Name: psyaitools
Version: 0.1.6.dev2
Summary: Loudness added.
Author: moomoofarm1
Author-email: 46774289+moomoofarm1@users.noreply.github.com
Requires-Python: >=3.9,<4.0
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.11
Requires-Dist: audioread (>=3.0,<4.0)
Requires-Dist: numpy (>=1.24,<2.0)
Requires-Dist: pandas (>=2.2,<3.0)
Requires-Dist: pyloudnorm (>=0.1,<0.2)
Requires-Dist: pyspark (>=3.5,<4.0)
Requires-Dist: scipy (>=1.13,<2.0)
Requires-Dist: spafe (>=0.3,<0.4)
Description-Content-Type: text/markdown

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.

<b>References</b>
- 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
