Constrained optimization toolkit for PyTorch
A manifold optimization library for deep learning
A MATLAB toolbox for classifier: Version 1.0.7
Optimization algorithms for hybrid precoding in mmWave MIMO systems: Version 1.1.0
A nonlinear least square(NLLS) solver. Fomulate the NLLS as graph optimization.
Latent Space Geometry for Neural Networks in Python
Self-Paced Multi-Label Learning with Diversity
Coding parts of the exercises in N. Boumal's lecture "optimization on manifolds"
The code for vector transport free LBFGS quasi-Newton's optimization on the Riemannian manifolds
This is an unofficial PyTorch implementation for paper "A Riemannian Network for SPD Matrix Learning", AAAI 2017
Implementing the algorithms of Kim et al. 2014 for regressing multiple symmetric positive definite matrices against real valued covariates.
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…
minimum bipartite matching via Riemann optimization
Riemmanian Manifold representation library with automatic first order differentiation
A comprehensive code for AI & Robotics.
Automatically adjust a set of formula-constrained variables
Some knowledge about manifolds 
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