PyTorch implementation of ICLR 2022 paper Generative Pseudo-Inverse Memory
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Updated
Mar 25, 2022 - Python
PyTorch implementation of ICLR 2022 paper Generative Pseudo-Inverse Memory
Project concerning the design of trajectories approaching (boundary or internal) singularities, in order to compare the effects of the kinematic controllers based on pseudo-inversion and on Damped Least-Squares.
Camera Calibration; Image Plane to Real world back-projection when the plane which the object lies is known, with respect to the world coordinate system.✔🔴 Note: The most accurate and latest version of the algorithms and documentations are located in branch "M-CAIT-2013"
Pseudo-Inverse, Gradient-Stochastic-Steepest Descent, Logistic Regression and LDA-QDA
Singular value decomposition and pseudo inverse functions
Linear Programming, Quadratic Programming, and Working with Huge matrices
Visualization of Tomographic Projection/Reconstruction Operations
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