A comprehensive code for AI & Robotics.
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Updated
Apr 11, 2024 - Python
A comprehensive code for AI & Robotics.
This is an unofficial PyTorch implementation for paper "A Riemannian Network for SPD Matrix Learning", AAAI 2017
We present a framework called TLF that builds a classifier for the target domain having only few labeled training records by transferring knowledge from the source domain having many labeled records. While existing methods often focus on one issue and leave the other one for the further work, TLF is capable of handling both issues simultaneously…
Automatically adjust a set of formula-constrained variables
Riemmanian Manifold representation library with automatic first order differentiation
Some knowledge about manifolds
Coding parts of the exercises in N. Boumal's lecture "optimization on manifolds"
Implementing the algorithms of Kim et al. 2014 for regressing multiple symmetric positive definite matrices against real valued covariates.
The code for vector transport free LBFGS quasi-Newton's optimization on the Riemannian manifolds
minimum bipartite matching via Riemann optimization
Self-Paced Multi-Label Learning with Diversity
A nonlinear least square(NLLS) solver. Fomulate the NLLS as graph optimization.
A manifold optimization library for deep learning
Constrained optimization toolkit for PyTorch
Optimization algorithms for hybrid precoding in mmWave MIMO systems: Version 1.1.0
A MATLAB toolbox for classifier: Version 1.0.7
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