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A Python platform to perform parallel computations of optimisation tasks (global and local) via the asynchronous generalized island model.
island-model
optimization
meta-heuristic
meta-heuristics
parallel-computing
parallel-processing
optimization-methods
optimization-problem
evolutionary-strategy
artificial-intelligence
evolutionary-algorithms
optimization-algorithms
stochastic-optimization
evolutionary-computation
multiobjective-optimization
Created
2020-01-07
602 commits to master branch, last one 3 months ago
Stochastic Dual Dynamic Programming in Julia
Created
2017-04-10
663 commits to master branch, last one about a month ago
An intuitive modeling interface for infinite-dimensional optimization problems.
Created
2019-08-13
644 commits to master branch, last one 14 days ago
A curated list of mathematical optimization courses, lectures, books, notes, libraries, frameworks and software.
awesome
awesome-list
optimization
linear-programming
convex-optimization
integer-programming
linear-optimization
operations-research
discrete-optimization
mathematical-modelling
stochastic-optimization
mathematical-programming
mathematical-optimization
combinatorial-optimization
integer-linear-programming
Created
2023-10-31
27 commits to main branch, last one 22 days ago
Artificial Bee Colony Algorithm in Python.
Created
2017-01-06
23 commits to master branch, last one 3 years ago
Python library for stochastic numerical optimization
Created
2017-04-21
179 commits to master branch, last one 12 months ago
An open-source parallel optimization solver for structured mixed-integer programming
Created
2014-11-13
1,342 commits to release branch, last one 11 months ago
Multi-Factor Least Squares Monte Carlo energy storage valuation model (Python and .NET).
Created
2019-08-18
723 commits to master branch, last one 3 months ago
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
[NeurIPS 2023] The PyTorch Implementation of Scheduled (Stable) Weight Decay.
Created
2020-07-30
40 commits to master branch, last one 3 months ago
Create Your Own Metropolis-Hastings Markov Chain Monte Carlo Algorithm for Bayesian Inference (With Python)
Created
2023-05-14
6 commits to main branch, last one 10 months ago