skscope: Sparse-Constrained OPtimization via itErative-solvers
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Updated
May 7, 2024 - Python
skscope: Sparse-Constrained OPtimization via itErative-solvers
A Julia/JuMP-based Global Optimization Solver for Non-convex Programs
A curated list of papers of interesting empirical study and insight on deep learning. Continually updating...
MoveIt kinematics_base plugin based on particle optimization & GA
A collection of Benchmark functions for numerical optimization problems
A generic optimization method for any integer programming problem
Awesome list for Neural Network Optimization methods.
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.
Riemannian stochastic optimization algorithms: Version 1.0.3
Visualization of various deep learning optimization algorithms using PyTorch automatic differentiation and optimizers.
Codes for the paper "Deep Neural Networks with Multi-Branch Architectures Are Less Non-Convex"
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.
Numerical illustration of a novel analysis framework for consensus-based optimization (CBO) and numerical experiments demonstrating the practicability of the method
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.
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.
New Matrix Factorization Algorithms based on Bregman Proximal Gradient: BPG-MF, CoCaIn BPG-MF, BPG-MF-WB
an R package implementing the grid search optimization algorithm with a zoom
Semi-blind deconvolution for fMRI (BOLD signal)
Fast Inertial Algorithm for Phase Retrieval
Numerical analysis of Particle Swarm Optimization (PSO) and numerical experiments demonstrating the practicability of the method
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