psyaitools 0.1.1

No project description provided

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. But this package is still under development.

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