SPSA clustering of a GMM

The SM-SPSA algorithm optimises a function over the stationary distribution of a Markov chain.

auto-apply SPSA tuning results to Stockfish source code

A Julia implementation of Simultaneous Perturbation Stochastic Approximation

Repository to implement SPSA

SPSA tuner for UCI chess variant engines

Code for experiments in paper: Non-Asymptotic Bounds for Zeroth-Order Stochastic Optimization

A numpy implementation of SPSA for optimizing neural networks

Stochastic Optimization Learning Tool

MPS-APO is a rapid and automatic parameter optimizer for multiple-point geostatistics

随机扰动近似算法 Stochastic perturbation approximation algorith—— python实现

A Python library for adversarial machine learning focusing on benchmarking adversarial robustness.