MinghuiChen43/awesome-deep-phenomena

A curated list of papers of interesting empirical study and insight on deep learning. Continually updating...

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abess-team/skscope

skscope: Sparse-Constrained OPtimization via itErative-solvers

Language: Python - Size: 17.5 MB - Last synced: 9 days ago - Pushed: 9 days ago - Stars: 281 - Forks: 13

harsh306/awesome-nn-optimization

Awesome list for Neural Network Optimization methods.

Size: 194 KB - Last synced: about 2 hours ago - Pushed: 2 months ago - Stars: 71 - Forks: 9

thieu1995/opfunu

A collection of Benchmark functions for numerical optimization problems

Language: Python - Size: 19.9 MB - Last synced: 20 days ago - Pushed: 20 days ago - Stars: 99 - Forks: 37

lanl-ansi/Alpine.jl

A Julia/JuMP-based Global Optimization Solver for Non-convex Programs

Language: Julia - Size: 4.94 MB - Last synced: 29 days ago - Pushed: about 2 months ago - Stars: 236 - Forks: 38

TAMS-Group/bio_ik

MoveIt kinematics_base plugin based on particle optimization & GA

Language: C++ - Size: 1.25 MB - Last synced: about 2 months ago - Pushed: 8 months ago - Stars: 190 - Forks: 74

rahimi-mohammad/Multi-cell-NOMA-wireless-network

Language: MATLAB - Size: 3.32 MB - Last synced: 3 months ago - Pushed: 3 months ago - Stars: 0 - Forks: 0

amkatrutsa/dl-opt

Tutorials on optimizers for deep neural networks

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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.

Language: Python - Size: 8.82 MB - Last synced: 12 days ago - Pushed: over 2 years ago - Stars: 3 - Forks: 0

Hands-On-Fraud-Analytics/Chapter-18-Classification-Techniques-For-Fraud-Detection

Classification-Techniques-For-Fraud-Detection

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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.

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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.

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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.

Language: Python - Size: 19.5 KB - Last synced: 7 months ago - Pushed: over 1 year ago - Stars: 13 - Forks: 4

dashidhy/UWB-Self-Localization

My undergraduate thesis at THU

Language: Matlab - Size: 14.4 MB - Last synced: 9 months ago - Pushed: almost 6 years ago - Stars: 0 - Forks: 1

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

Language: Python - Size: 1.45 MB - Last synced: 4 months ago - Pushed: 4 months ago - Stars: 0 - Forks: 0

hcherkaoui/pybold

Semi-blind deconvolution for fMRI (BOLD signal)

Language: Python - Size: 176 KB - Last synced: 9 months ago - Pushed: about 5 years ago - Stars: 5 - Forks: 1

KonstantinRiedl/CBOGlobalConvergenceAnalysis

Numerical illustration of a novel analysis framework for consensus-based optimization (CBO) and numerical experiments demonstrating the practicability of the method

Language: MATLAB - Size: 18.2 MB - Last synced: 6 months ago - Pushed: 6 months ago - Stars: 11 - Forks: 3

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.

Language: Python - Size: 25.2 MB - Last synced: almost 1 year ago - Pushed: almost 2 years ago - Stars: 52 - Forks: 6

saqib1707/MultiAgent-Pursuer-Evader-Problem

This repository contains the work done as part of my B.Tech Project

Language: Python - Size: 386 MB - Last synced: 10 months ago - Pushed: about 4 years ago - Stars: 2 - Forks: 0

KonstantinRiedl/PSOAnalysis

Numerical analysis of Particle Swarm Optimization (PSO) and numerical experiments demonstrating the practicability of the method

Language: MATLAB - Size: 4.73 MB - Last synced: 4 months ago - Pushed: 11 months ago - Stars: 2 - Forks: 1

wubaoyuan/Lpbox-ADMM

A generic optimization method for any integer programming problem

Language: MATLAB - Size: 47.1 MB - Last synced: about 1 year ago - Pushed: about 3 years ago - Stars: 53 - Forks: 14

PhilippPelz/dptycho

Low-dose cryo electron ptychography via non-convex Bayesian optimization

Language: Lua - Size: 75.2 MB - Last synced: about 1 year ago - Pushed: over 1 year ago - Stars: 0 - Forks: 0

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.

Language: Python - Size: 4.82 MB - Last synced: about 1 year ago - Pushed: over 3 years ago - Stars: 8 - Forks: 2

mynkpl1998/Deep-Learning-Optimization-Algorithms

Visualization of various deep learning optimization algorithms using PyTorch automatic differentiation and optimizers.

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luismarcoslc/white_box_attacks_using_FW_optimization_algorithms

Study of four first order Frank Wolfe algorithms to solve constrained non-convex problems in the context of white box adversarial attacks.

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hiroyuki-kasai/RSOpt

Riemannian stochastic optimization algorithms: Version 1.0.3

Language: MATLAB - Size: 7.62 MB - Last synced: about 1 year ago - Pushed: over 1 year ago - Stars: 51 - Forks: 19

vassef/Convex-and-non-convex-optimization

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mmahesh/cocain-bpg-matrix-factorization

New Matrix Factorization Algorithms based on Bregman Proximal Gradient: BPG-MF, CoCaIn BPG-MF, BPG-MF-WB

Language: Python - Size: 4.59 MB - Last synced: about 1 year ago - Pushed: almost 2 years ago - Stars: 6 - Forks: 4

mmahesh/cocain-bpg-phase-retrieval

Fast Inertial Algorithm for Phase Retrieval

Language: Python - Size: 1.6 MB - Last synced: about 1 year ago - Pushed: almost 2 years ago - Stars: 2 - Forks: 1

hongyanz/multibranch

Codes for the paper "Deep Neural Networks with Multi-Branch Architectures Are Less Non-Convex"

Language: Python - Size: 1.32 MB - Last synced: about 1 year ago - Pushed: almost 4 years ago - Stars: 19 - Forks: 1

Algorithmic-Alignment-Lab/sco_py

Sequential Convex Optimization for TAMP problems with multiple backend solvers!

Language: Python - Size: 238 KB - Last synced: 13 days ago - Pushed: about 2 years ago - Stars: 3 - Forks: 1

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.

Language: Python - Size: 1.05 MB - Last synced: 2 months ago - Pushed: over 4 years ago - Stars: 2 - Forks: 1

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

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mmahesh/cocain-bpg-escapes-spurious-stationary-points

CoCaIn BPG escapes Spurious Stationary Points

Language: Python - Size: 5.99 MB - Last synced: about 1 year ago - Pushed: almost 2 years ago - Stars: 2 - Forks: 0

jhashekhar/dnn-exp

Experiments related to optimization, convergence and network architectures.

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yukai-yang/zoomgrid

an R package implementing the grid search optimization algorithm with a zoom

Language: R - Size: 173 KB - Last synced: 11 months ago - Pushed: about 5 years ago - Stars: 5 - Forks: 0