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The library contains a number of interconnected Java packages that implement machine learning and artificial intelligence algorithms. These are artificial intelligence algorithms implemented for the kind of people that like to implement algorithms themselves.

java machine-learning neural-network optimization-algorithms artificial-intelligence-algorithms

Updated Aug 17, 2021
Java

gitabcworld / FewShotLearning

Star

Pytorch implementation of the paper "Optimization as a Model for Few-Shot Learning"

python optimization pytorch optimization-algorithms few-shot

Updated Sep 22, 2017
Python

Jaewan-Yun / optimizer-visualization

Star

Visualize Tensorflow's optimizers.

machine-learning tensorflow optimization-algorithms learning-rate optimizer-visualization adamoptimizer gradientdescentoptimizer

Updated Mar 7, 2018
Python

bwohlberg / sporco

Star

Sparse Optimisation Research Code

python sparsity optimization cuda admm sparse-coding dictionary-learning optimization-algorithms robust-pca fista convolutional-sparse-coding total-variation sparse-representations convolutional-dictionary-learning total-variation-minimization plug-and-play-priors

Updated Mar 29, 2021
Python

esa / pygmo2

Star

Open

Make types uniform in the Python exposition

Sceki commented Jun 9, 2019

Some problems/algorithms seem to have an inconsistent python exposition in terms of types.

For instance, in ../src/problems/dtlz.cpp we have:

dtlz::dtlz(unsigned prob_id, vector_double::size_type dim, vector_double::size_type fdim, unsigned alpha)

But in the ../pygmo/expose_problems_0.cpp it is exposed as:

dtlz_p.def(bp::init<unsigned, unsigned, unsigned, unsigned>

I

bug good first issue

lacerbi / bads

Star

Bayesian Adaptive Direct Search (BADS) optimization algorithm for model fitting in MATLAB

matlab bayesian-optimization optimization-algorithms log-likelihood noiseless-functions noisy-functions

Updated Apr 20, 2021
MATLAB

hiroyuki-kasai / NMFLibrary

Star

MATLAB library for non-negative matrix factorization (NMF): Version 1.8.1

matlab machine-learning-algorithms bigdata matrix-factorization constrained-optimization data-analysis robust-optimization gradient-descent matlab-toolbox clustering-algorithm optimization-algorithms nmf online-learning stochastic-optimizers stochastic-gradient-descent nonnegativity-constraints orthogonal probabilistic-matrix-factorization nonnegative-matrix-factorization sparse-representations

Updated Oct 14, 2020
MATLAB

NiaOrg / NiaPy

Star

Python microframework for building nature-inspired algorithms. Official docs: http://niapy.readthedocs.io/en/stable/

python hacktoberfest optimization-algorithms microframework swarm-intelligence nature-inspired-algorithms

Updated Aug 30, 2021
Python

HaaLeo / swarmlib

Sponsor Star

This repository implements several swarm optimization algorithms and visualizes them. Implemented algorithms: Particle Swarm Optimization (PSO), Firefly Algorithm (FA), Cuckoo Search (CS), Ant Colony Optimization (ACO), Artificial Bee Colony (ABC), Grey Wolf Optimizer (GWO) and Whale Optimization Algorithm (WOA)

pypi swarm ant-colony-optimization aco tsp cuckoo-search optimization-algorithms particle-swarm-optimization pso firefly-algorithm heuristic-search-algorithms heuristic-optimization artificial-bee-colony levy-walks traveling-salesman-problem tsplib gwo tsplib95 whale-optimization grey-wolf-optimizer

Updated Dec 16, 2020
Python

albarji / proxTV

Star

Matlab and Python toolbox for fast Total Variation proximity operators

machine-learning signal-processing proximal-operators optimization-algorithms

Updated Feb 20, 2020
C++

limberc / deeplearning.ai

Star

natural-language-processing deep-learning neural-network coursera convolutional-neural-networks optimization-algorithms sequence-models andrew-ng-course

Updated Jul 28, 2018
HTML

hiroyuki-kasai / SGDLibrary

Star

MATLAB/Octave library for stochastic optimization algorithms: Version 1.0.20

machine-learning big-data optimization matlab linear-regression machine-learning-algorithms sgd classification logistic-regression gradient optimization-algorithms online-learning gradient-descent-algorithm variance-reduction stochastic-gradient-descent newtons-method stochastic-optimization-algorithms quasi-newton softmax-classification svrg

Updated Jun 8, 2021
MATLAB

idaholab / raven

Star

Open

GridEntity needs to use the InputParameters structure

alfoa commented Aug 29, 2019

Issue Description

The GRID entity must use the input parameter machinery.

For Change Control Board: Issue Review

This review should occur before any development is performed as a response to this issue.

1. Is it tagged with a type: defect or task?
2. Is it tagged with a priority: critical, normal or minor?
3. If it w

priority_normal task good first issue

optimization-algorithms

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esa / pagmo2

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argmin-rs / argmin

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coin-or / python-mip

imagry / aleph_star

3dem / relion

pushkar / ABAGAIL

gitabcworld / FewShotLearning

Jaewan-Yun / optimizer-visualization

bwohlberg / sporco

esa / pygmo2

lacerbi / bads

hiroyuki-kasai / NMFLibrary

NiaOrg / NiaPy

HaaLeo / swarmlib

albarji / proxTV

limberc / deeplearning.ai

hiroyuki-kasai / SGDLibrary

idaholab / raven

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