non-convex-optimization
There are 39 repositories under non-convex-optimization topic.
abess-team/skscope
skscope: Sparse-Constrained OPtimization via itErative-solvers
lanl-ansi/Alpine.jl
A Julia/JuMP-based Global Optimization Solver for Non-convex Programs
MinghuiChen43/awesome-deep-phenomena
A curated list of papers of interesting empirical study and insight on deep learning. Continually updating...
TAMS-Group/bio_ik
MoveIt kinematics_base plugin based on particle optimization & GA
thieu1995/opfunu
A collection of Benchmark functions for numerical optimization problems
wubaoyuan/Lpbox-ADMM
A generic optimization method for any integer programming problem
harsh306/awesome-nn-optimization
Awesome list for Neural Network Optimization methods.
wanxinjin/Safe-PDP
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.
hiroyuki-kasai/RSOpt
Riemannian stochastic optimization algorithms: Version 1.0.3
mynkpl1998/Deep-Learning-Optimization-Algorithms
Visualization of various deep learning optimization algorithms using PyTorch automatic differentiation and optimizers.
vkumar-ucd/IRS_MIMO_UnderlaySpectrumSharing
Simulation code for "Achievable Rate Maximization for Underlay Spectrum Sharing MIMO System with Intelligent Reflecting Surface," by V. Kumar, M. F. Flanagan, R. Zhang, and L. -N. Tran, IEEE Wireless Communications Letters, 2022, doi: 10.1109/LWC.2022.3180988.
hongyanz/multibranch
Codes for the paper "Deep Neural Networks with Multi-Branch Architectures Are Less Non-Convex"
KonstantinRiedl/CBOGlobalConvergenceAnalysis
Numerical illustration of a novel analysis framework for consensus-based optimization (CBO) and numerical experiments demonstrating the practicability of the method
vkumar-ucd/EffectiveSecrecyRate
Simulation code for "On the Secrecy Rate under Statistical QoS Provisioning for RIS-assisted MISO Wiretap Channel," by V. Kumar, M. F. Flanagan, D. W. Kwan Ng, and L. -N. Tran, IEEE Global Communications Conference (GLOBECOM), 2021, pp. 1-6, doi: 10.1109/GLOBECOM46510.2021.9685957.
matthieumeo/pyoneer
Pyoneer is a Python 3 package for the continuous recovery of non-bandlimited periodic signals with finite rates of innovation (e.g. Dirac streams) from generalised measurements.
mmahesh/cocain-bpg-matrix-factorization
New Matrix Factorization Algorithms based on Bregman Proximal Gradient: BPG-MF, CoCaIn BPG-MF, BPG-MF-WB
yukai-yang/zoomgrid
an R package implementing the grid search optimization algorithm with a zoom
hcherkaoui/pybold
Semi-blind deconvolution for fMRI (BOLD signal)
mmahesh/cocain-bpg-phase-retrieval
Fast Inertial Algorithm for Phase Retrieval
saqib1707/MultiAgent-Pursuer-Evader-Problem
This repository contains the work done as part of my B.Tech Project
Algorithmic-Alignment-Lab/sco_py
Sequential Convex Optimization for TAMP problems with multiple backend solvers!
anirban-code-to-live/line2vec
Information network edge representation learning using edge-to-vertex dual graphs (a.k.a line graph). In addition to that, an optimisation problem is solved efficiently to generate the edge embeddings.
anishacharya/DeLiCoCo-IEEE-Transactions
In compressed decentralized optimization settings, there are benefits to having multiple gossip steps between subsequent gradient iterations, even when the cost of doing so is appropriately accounted for e.g. by means of reducing the precision of compressed information.
KonstantinRiedl/PSOAnalysis
Numerical analysis of Particle Swarm Optimization (PSO) and numerical experiments demonstrating the practicability of the method
mmahesh/cocain-bpg-escapes-spurious-stationary-points
CoCaIn BPG escapes Spurious Stationary Points
PhilippPelz/dptycho
Low-dose cryo electron ptychography via non-convex Bayesian optimization
AhmadTaheri2021/Balanced-TLBO
A Balanced Teaching Learning Based Optimization Algorithm. This project was developed under supervision of Dr. Keyvan RahimiZadeh and in collabotion with Prof. R. Venkata Rao.
dashidhy/UWB-Self-Localization
My undergraduate thesis at THU
htso/Adaptive-Moving-Average-Strategy
Adaptive Moving Average as an Unsupervised Learning Algorithm
PRISHIta123/Scheduling_Algorithms_for_Water_Dam_Controller
Contains code for RL and NES scheduling algorithms to optimize a flood control problem in a water dam
riccardocadei/adahessian
Discussion of advantages and disadvantages of AdaHessian, a state-of-the-art Second Order Methods over First Order Methods on a Non-Convex Optimization Problem (digits classification on MNIST database using ResNet18). - @ EPFL
Hands-On-Fraud-Analytics/Chapter-18-Classification-Techniques-For-Fraud-Detection
Classification-Techniques-For-Fraud-Detection
nagarx/Optimizing_Non_Convex_Functions_using_Particle_Swarm_Optimizer
A cutting-edge implementation of Particle Swarm Optimization (PSO) tailored for navigating and optimizing complex non-convex functions. This project encapsulates an advanced algorithmic approach, leveraging swarm intelligence to efficiently converge on global minima in multimodal landscapes.
amkatrutsa/dl-opt
Tutorials on optimizers for deep neural networks