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Riemannian Adaptive Optimization Methods with pytorch optim
Created
2018-11-07
215 commits to master branch, last one 6 months ago
An implementation of the SE-Sync algorithm for synchronization over the special Euclidean group.
Created
2016-10-15
262 commits to master branch, last one 2 years ago
A set of lightweight header-only template functions implementing commonly-used optimization methods on Riemannian manifolds and convex spaces.
Created
2018-01-07
93 commits to master branch, last one 2 years ago
Riemannian stochastic optimization algorithms: Version 1.0.3
sgd
big-data
manifold
optimization
online-learning
machine-learning
variance-reduction
riemannian-manifold
large-scale-learning
stochastic-optimizers
nonlinear-optimization
non-convex-optimization
optimization-algorithms
riemannian-optimization
stochastic-optimization
constrained-optimization
machine-learning-algorithms
stochastic-gradient-descent
nonlinear-optimization-algorithms
Created
2018-07-12
63 commits to master branch, last one about a year ago
Implementation of Deep SPDNet in pytorch
Created
2018-01-26
48 commits to master branch, last one about a year ago