A C++ platform to perform parallel computations of optimisation tasks (global and local) via the asynchronous generalized island model.
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Updated
Aug 12, 2024 - C++
A C++ platform to perform parallel computations of optimisation tasks (global and local) via the asynchronous generalized island model.
🎯 A comprehensive gradient-free optimization framework written in Python
NMFLibrary: Non-negative Matrix Factorization (NMF) Library: Version 2.1
Task-based end-to-end model learning in stochastic optimization
Derivative-Free Global Optimization Method (C++, Python binding) - Continuous, Discrete, TSP, NLS, MINLP
Riemannian stochastic optimization algorithms: Version 1.0.3
NODAL is an Open Distributed Autotuning Library in Julia
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PyTorch implementation of the Hessian-free optimizer
[Python] [arXiv/cs] Paper "An Overview of Gradient Descent Optimization Algorithms" by Sebastian Ruder
Subsampled Riemannian trust-region (RTR) algorithms
An implementation of an approximation of the solution to Traveling Salesman Problem using cross entropy approach on Python 3
Python Utilities for parsing SMPS files (Stochastic Multistage Optimization)
implementations of optimization algorithms for regularized empirical risk minimization
Multi-shape detection algorithm in C++ with OpenGL GUI
A C++ / Python platform to perform parallel computations of optimisation tasks (global and local) via the asynchronous generalized island model.
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Exploring different stochastic techniques for optimizing the visual appeal and readability of graphs
Evolutionary Techniques for Antenna Placement
Naive implementation of popular stochastic optimizers
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