stochastic-optimizers topic

🎯 A comprehensive gradient-free optimization framework written in Python

100

A C++ platform to perform parallel computations of optimisation tasks (global and local) via the asynchronous generalized island model.

esa

NMFLibrary: Non-negative Matrix Factorization (NMF) Library: Version 2.1

hiroyuki-kasai

Task-based end-to-end model learning in stochastic optimization

locuslab

Derivative-Free Global Optimization Method (C++, Python binding)

avaneev

Riemannian stochastic optimization algorithms: Version 1.0.3

hiroyuki-kasai

An implementation of the Artificial Bee Colony (ABC) Algorithm

gvegayon

NODAL is an Open Distributed Autotuning Library in Julia

phrb

[Python] [arXiv/cs] Paper "An Overview of Gradient Descent Optimization Algorithms" by Sebastian Ruder

harshraj11584

PyTorch implementation of the Hessian-free optimizer

ltatzel