Exploring different stochastic techniques for optimizing the visual appeal and readability of graphs
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Updated
Mar 15, 2015 - Java
Exploring different stochastic techniques for optimizing the visual appeal and readability of graphs
Evolutionary Techniques for Antenna Placement
Naive implementation of popular stochastic optimizers
Multi-shape detection algorithm in C++ with OpenGL GUI
A stochastic optimizer for the CS-DC’17 World e-conference schedule.
implementations of optimization algorithms for regularized empirical risk minimization
NODAL is an Open Distributed Autotuning Library in Julia
An implementation of an approximation of the solution to Traveling Salesman Problem using cross entropy approach on Python 3
Simulation of an N by M chessboard with K queens such that no queen defeats another using Simulated Annealing
[Python] [arXiv/cs] Paper "An Overview of Gradient Descent Optimization Algorithms" by Sebastian Ruder
🎯 A comprehensive gradient-free optimization framework written in Python
Task-based end-to-end model learning in stochastic optimization
Subsampled Riemannian trust-region (RTR) algorithms
Riemannian stochastic optimization algorithms: Version 1.0.3
A C++ / Python platform to perform parallel computations of optimisation tasks (global and local) via the asynchronous generalized island model.
NMFLibrary: Non-negative Matrix Factorization (NMF) Library: Version 2.1
An implementation of the Artificial Bee Colony (ABC) Algorithm
Python Utilities for parsing SMPS files (Stochastic Multistage Optimization)
PyTorch implementation of the Hessian-free optimizer
Derivative-Free Global Optimization Method (C++, Python binding)
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