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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
A C++ library of Markov Chain Monte Carlo (MCMC) methods
Created
2017-08-12
85 commits to master branch, last one 9 months ago
Regression Graph Neural Network (regGNN) for cognitive score prediction.
Created
2021-06-15
10 commits to main branch, last one about a year 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
Measure the distance between two spectra/signals using optimal transport and related metrics
Created
2019-09-18
396 commits to master branch, last one about a year ago