Here are
22 public repositories
matching this topic...
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
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Jul 19, 2019
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Python
MATLAB library for non-negative matrix factorization (NMF): Version 1.8.1
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Oct 14, 2020
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MATLAB
Task-based end-to-end model learning in stochastic optimization
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Nov 29, 2020
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Python
Derivative-Free Optimization Method
Riemannian stochastic optimization algorithms: Version 1.0.3
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Jun 10, 2021
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MATLAB
NODAL is an Open Distributed Autotuning Library in Julia
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Nov 14, 2018
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Julia
An implementation of the Artificial Bee Colony (ABC) Algorithm
[Python] [arXiv/cs] Paper "An Overview of Gradient Descent Optimization Algorithms" by Sebastian Ruder
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Mar 23, 2019
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Python
A Python 3 gradient-free optimization library
Subsampled Riemannian trust-region (RTR) algorithms
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Jun 20, 2019
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MATLAB
An implementation of an approximation of the solution to Traveling Salesman Problem using cross entropy approach on Python 3
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Dec 10, 2018
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Jupyter Notebook
Python Utilities for parsing SMPS files (Stochastic Multistage Optimization)
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Jul 21, 2020
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Python
Applied Statistics and Data Science: Deep learning course
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Feb 7, 2020
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Jupyter Notebook
Multi-shape detection algorithm in C++ with OpenGL GUI
Simulation of an N by M chessboard with K queens such that no queen defeats another using Simulated Annealing
implementations of optimization algorithms for regularized empirical risk minimization
A C++ / Python platform to perform parallel computations of optimisation tasks (global and local) via the asynchronous generalized island model.
A stochastic optimizer for the CS-DC’17 World e-conference schedule.
Evolutionary Techniques for Antenna Placement
Naive implementation of popular stochastic optimizers
Exploring different stochastic techniques for optimizing the visual appeal and readability of graphs
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Mar 15, 2015
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Java
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