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22 public repositories
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This github repository contains the official code for the papers, "Robustness Assessment for Adversarial Machine Learning: Problems, Solutions and a Survey of Current Neural Networks and Defenses" and "One Pixel Attack for Fooling Deep Neural Networks"
Updated
Dec 17, 2023
Python
Bandit and Evolutionary Algorithms using Python
Updated
Feb 11, 2021
Python
Self-Interpretable Agent implemented on the Procgen game 'Dodgeball'.
Updated
Sep 13, 2021
Python
ESKit is a portable library written in C, that provides implementations of some self-adaptive evolution strategies
All code for the results and figures shown in the report for the course AE4350.
Updated
Jun 14, 2022
Python
Three implemented evolutionary strategies using DEAP to optimize energy scheduling tasks.
Updated
Sep 9, 2024
Python
This repository contains an improvement for any covariance-matix-adaptation-like evolution strategy exploiting gradient or its estimation
Updated
Feb 16, 2024
Jupyter Notebook
Website with interactive client-side CMA-ES (blackbox optimizer) demos. Reinforcement-learning demos allow users to control RL-trained robots.
Updated
Jun 18, 2024
JavaScript
StochOptim provides user friendly functions to solve optimization problems using stochastic algorithms
Updated
Feb 9, 2018
Fortran
Updated
Dec 5, 2020
MATLAB
Distributed surrogate-assisted evolutionary methods for multi-objective optimization of high-dimensional dynamical systems
Updated
Aug 30, 2024
Python
StochANNPy (STOCHAstic Artificial Neural Network for PYthon) provides user-friendly routines compatible with Scikit-Learn for stochastic learning.
Updated
Apr 4, 2018
Python
Course on computational design, non-linear optimization, and dynamics of soft systems at UIUC.
Updated
Jul 31, 2022
Jupyter Notebook
The official repo for GECCO 2022 paper High-Performance Evolutionary Algorithms for Online Neuronal Control in vivo and in silico
Updated
Jan 9, 2024
Python
StochOPy WebApp is hosted online at
Updated
Dec 11, 2017
Python
Unity In Editor Deep Learning Tools. Using KerasSharp, TensorflowSharp, Unity MLAgent. In-Editor training and no python needed.
Python library for stochastic numerical optimization
Updated
Jun 7, 2023
Python
lagom: A PyTorch infrastructure for rapid prototyping of reinforcement learning algorithms.
Updated
Nov 19, 2022
Jupyter Notebook
A fully decentralized hyperparameter optimization framework
Updated
Jul 18, 2024
Python
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