A Python platform to perform parallel computations of optimisation tasks (global and local) via the asynchronous generalized island model.
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Updated
Aug 10, 2024 - C
A Python platform to perform parallel computations of optimisation tasks (global and local) via the asynchronous generalized island model.
A JuMP extension for Stochastic Dual Dynamic Programming
An intuitive modeling interface for infinite-dimensional optimization problems.
A curated list of mathematical optimization courses, lectures, books, notes, libraries, frameworks and software.
Artificial Bee Colony Algorithm in Python.
Python library for stochastic numerical optimization
An open-source parallel optimization solver for structured mixed-integer programming
Riemannian stochastic optimization algorithms: Version 1.0.3
[NeurIPS 2023] The PyTorch Implementation of Scheduled (Stable) Weight Decay.
Create Your Own Metropolis-Hastings Markov Chain Monte Carlo Algorithm for Bayesian Inference (With Python)
A simple implementation of SPSA with automatic learning rate tuning
A collection of papers and readings for non-convex optimization
Data-driven decision making under uncertainty using matrices
Hessian-based stochastic optimization in TensorFlow and keras
[ICML 2021] The official PyTorch Implementations of Positive-Negative Momentum Optimizers.
Low-variance, efficient and unbiased gradient estimation for optimizing models with binary latent variables. (ICLR 2019)
An interactive visual simulator for distance-based protein folding
[Python] [arXiv/cs] Paper "An Overview of Gradient Descent Optimization Algorithms" by Sebastian Ruder
This repo demonstrates how to build a surrogate (proxy) model by multivariate regressing building energy consumption data (univariate and multivariate) and use (1) Bayesian framework, (2) Pyomo package, (3) Genetic algorithm with local search, and (4) Pymoo package to find optimum design parameters and minimum energy consumption.
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