4 results found Sort:

jonathf
chaospy jonathf
87
445
mit
24
Chaospy - Toolbox for performing uncertainty quantification.
statistics sparse-grids variance-reduction gaussian-quadrature sensitivity-analysis probability-distribution uncertainty-quantification
Created 2014-08-11
667 commits to master branch, last one 5 days ago
NVIDIA
framework-reproducibility NVIDIA
40
425
apache-2.0
31
Providing reproducibility in deep learning frameworks
d9m ngc r13y seed noise fwr13y seeder atomics pytorch frameworks tensorflow determinism gpu-support deep-learning gpu-determinism noise-reduction reproducibility deterministic-ops variance-reduction
Created 2019-03-18
328 commits to master branch, last one about a year ago
hiroyuki-kasai
SGDLibrary hiroyuki-kasai
85
219
mit
19
MATLAB/Octave library for stochastic optimization algorithms: Version 1.0.20
sgd svrg matlab big-data gradient optimization quasi-newton classification newtons-method online-learning machine-learning linear-regression variance-reduction logistic-regression softmax-classification optimization-algorithms gradient-descent-algorithm machine-learning-algorithms stochastic-gradient-descent stochastic-optimization-algorithms
Created 2016-10-26
133 commits to master branch, last one about a year ago
hiroyuki-kasai
RSOpt hiroyuki-kasai
23
64
mit
5
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