9 results found Sort:

abess-team
skscope abess-team
13
319
mit
6
skscope: Sparse-Constrained OPtimization via itErative-solvers
jax python scikit-learn auto-differentiation sparsity-optimization nonlinear-optimization non-convex-optimization
Created 2022-12-07
529 commits to master branch, last one about a month ago
MinghuiChen43
awesome-deep-phenomena MinghuiChen43
11
273
mit
25
A curated list of papers of interesting empirical study and insight on deep learning. Continually updating...
grokking emergence awesome-list double-descent neural-collapse phase-transitions empirical-research deep-learning-theory neural-tangent-kernel non-convex-optimization neuroscience-inspired-ai lottery-ticket-hypothesis information-bottleneck-theory
Created 2020-06-23
381 commits to master branch, last one about a month ago
lanl-ansi
Alpine.jl lanl-ansi
40
245
other
22
A Julia/JuMP-based Global Optimization Solver for Non-convex Programs
minlp minlp-solver optimization julia-language global-optimization nonlinear-optimization non-convex-optimization optimization-algorithms mixed-integer-programming mixed-integer-nonlinear-programming
Created 2016-10-20
897 commits to master branch, last one about a month ago
TAMS-Group
bio_ik TAMS-Group
82
211
bsd-3-clause
16
MoveIt kinematics_base plugin based on particle optimization & GA
ros bio-ik moveit robotics ik-solver optimization robot-control genetic-algorithm inverse-kinematics convex-optimization robot-motion-planning evolutionary-algorithm artificial-intelligence non-convex-optimization particle-swarm-optimization
Created 2017-09-22
184 commits to master branch, last one about a year ago
thieu1995
opfunu thieu1995
39
129
gpl-3.0
3
A collection of Benchmark functions for numerical optimization problems
cec-2005 cec-2008 cec-2010 cec-2013 cec-2014 cec-2015 cec-2017 cec-2019 cec-2020 cec-2021 cec-2022 soft-computing unimodal-functions benchmark-functions convex-optimization global-optimization multimodal-functions non-convex-optimization unconstrained-optimization
Created 2019-12-06
493 commits to master branch, last one 6 months ago
wubaoyuan
Lpbox-ADMM wubaoyuan
20
90
unknown
6
A generic optimization method for any integer programming problem
admm computer-vision machine-learning integer-programming non-convex-optimization
Created 2018-07-10
99 commits to master branch, last one 3 years ago
harsh306
awesome-nn-optimization harsh306
10
76
cc-by-4.0
3
Awesome list for Neural Network Optimization methods.
awesome bifurcation awesome-list continuation local-minima loss-surface optimization deep-learning generalization neural-network dynamical-systems convex-optimization curriculum-learning convergence-analysis non-convex-optimization
Created 2019-08-04
89 commits to master branch, last one 8 months ago
wanxinjin
Safe-PDP wanxinjin
7
71
mit
3
Safe Pontryagin Differentiable Programming (Safe PDP) is a new theoretical and algorithmic safe differentiable framework to solve a broad class of safety-critical learning and control tasks.
constraints optimization safe-control safe-planning safety-critical robotics-control constrained-learning constraint-programming non-convex-optimization safety-critical-systems constrained-optimization safety-critical-learning constraint-based-modeling differentiable-programming safe-reinforcement-learning constrained-reinforcement-learning
Created 2021-05-31
10 commits to main branch, last one 2 years 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