Robust Stochastic Optimization Made Easy
MATLAB/Octave library for stochastic optimization algorithms: Version 1.0.20
Task-based end-to-end model learning in stochastic optimization
A set of examples to optimize process simulators with Python (PSO) - PyConES 2016
Stochastic Tensor Optimization for Robot Motion - A GPU Robot Motion Toolkit
Implementations of stochastic optimization algorithms and solvers
Stochastic Optimization, Learning, Uncertainty and Sampling
Python library for stochastic numerical optimization
Riemannian stochastic optimization algorithms: Version 1.0.3
Statistical adaptive stochastic optimization methods
Code for Stochastic Hyperparameter Optimization through Hypernetworks
Exploiting Uncertainty of Loss Landscape for Stochastic Optimization
Large Scale Machine learning Optimization through Stochastic Average Gradient
Code for "Stochastic Optimization of Sorting Networks using Continuous Relaxations", ICLR 2019.
CRF++-0.58 extended with a few stochastic gradient based optimization routines
Model-Based Stochastic Search for Large Scale Optimization of Multi-Agent UAV Swarms
Implementation for "Surrogate Losses for Online Learning of Stepsizes in Stochastic Non-Convex Optimization"
Modified MDP and Q-Learning Algorithm | Multiagent optimization | Path Planning | Navigation | Reinforcement Learning | Stochastic Systems | Swarm Robotics
Experimental code of stochastic optimization methods (Averaged SGD, SVRG, SAGA, and AMSVRG ...) for linear models.
Generate realizations of stochastic processes in python.
Implementation of stochastic optimal control method for solving 4th order PDE constrained optimization with uncertain parameters
Stochastic Weight Averaging in PyTorch