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The Wayback Machine - https://web.archive.org/web/20200912161021/https://github.com/topics/stochastic-optimizers
Here are
21 public repositories
matching this topic...
🎯 A comprehensive gradient-free optimization framework written in Python
Updated
Jul 19, 2019
Python
A C++ platform to perform parallel computations of optimisation tasks (global and local) via the asynchronous generalized island model.
Task-based end-to-end model learning in stochastic optimization
Updated
Jun 11, 2020
Python
MATLAB library for non-negative matrix factorization (NMF): Version 1.8.0
Updated
Jun 27, 2019
MATLAB
Riemannian stochastic optimization algorithms: Version 1.0.3
Updated
May 31, 2019
MATLAB
NODAL is an Open Distributed Autotuning Library in Julia
Updated
Nov 14, 2018
Julia
An implementation of the Artificial Bee Colony (ABC) Algorithm
[Python] [arXiv/cs] Paper "An Overview of Gradient Descent Optimization Algorithms" by Sebastian Ruder
Updated
Mar 23, 2019
Python
Subsampled Riemannian trust-region (RTR) algorithms
Updated
Jun 20, 2019
MATLAB
Python Utilities for parsing SMPS files (Stochastic Multistage Optimization)
Updated
Jul 21, 2020
Python
A Python 3 gradient-free optimization library
Updated
Sep 7, 2020
Python
Applied Statistics and Data Science: Deep learning course
Updated
Feb 7, 2020
Jupyter Notebook
An implementation of an approximation of the solution to Traveling Salesman Problem using cross entropy approach on Python 3
Updated
Dec 10, 2018
Jupyter Notebook
Multi-shape detection algorithm in C++ with OpenGL GUI
implementations of optimization algorithms for regularized empirical risk minimization
Simulation of an N by M chessboard with K queens such that no queen defeats another using Simulated Annealing
A C++ / Python platform to perform parallel computations of optimisation tasks (global and local) via the asynchronous generalized island model.
Naive implementation of popular stochastic optimizers
A stochastic optimizer for the CS-DC’17 World e-conference schedule.
Evolutionary Techniques for Antenna Placement
Exploring different stochastic techniques for optimizing the visual appeal and readability of graphs
Updated
Mar 15, 2015
Java
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