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derivative-free-optimization

Here are 19 public repositories matching this topic...

EMI-Group / evox

Distributed GPU-Accelerated Framework for Evolutionary Computation. Comprehensive Library of Evolutionary Algorithms & Benchmark Problems.

neuroevolution pytorch gym gpu-acceleration evolutionary-algorithms multi-objective-optimization ray black-box-optimization evolutionary-computation evolutionary-strategies metaheuristics jax evolutionary-optimization derivative-free-optimization gradient-free-optimization population-based-optimization brax evolutionary-reinforcement-learinig

Updated Aug 22, 2025
Python

Evolutionary-Intelligence / pypop

[JMLR (CCF-A)] PyPop7: A Pure-PYthon LibrarY for POPulation-based Black-Box Optimization (BBO), especially *Large-Scale* variants (from evolutionary computation, swarm intelligence, statistics, operations research, machine learning, mathematical optimization, meta-heuristics, etc.). [https://jmlr.org/papers/v25/23-0386.html]

Updated Aug 28, 2025
Python

humpday

microprediction / humpday

Elo ratings for global black box derivative-free optimizers

blackbox-optimization blackbox-optimizer derivative-free-optimization zeroth-order-optimization python-optimizer global-optimizers

Updated Feb 6, 2025
Python

ossamaAhmed / blackbox_mpc

Sampling based Model Predictive Control package for Model-Based RL research

reinforcement-learning model-predictive-control model-based-rl derivative-free-optimization sampling-based-planning

Updated Oct 20, 2020
Python

SimpleArt / spsa

A simple implementation of SPSA with automatic learning rate tuning

optimization gradient-descent numerical-methods stochastic-optimization derivative-free-optimization

Updated Jun 5, 2022
Python

SimpleArt / pyroot

Python library for root-finding in one dimension

python optimization root-finding numerical-methods derivative-free-optimization

Updated Sep 10, 2024
Python

caesarcai / ZORO

Zeroth-Order Regularized Optimization (ZORO): Approximately Sparse Gradients and Adaptive Sampling

python proximal black-box-optimization derivative-free-optimization zeroth-order-optimization gradient-estimation

Updated Jun 6, 2024
Python

Ahmed-Bayoumy / OMADS

OMADS - A blackbox optimization python package

optimization solver optimization-algorithms mads blackbox-optimization blackbox-optimizer mathematical-algorithms derivative-free-optimization direct-search simulation-based-optimization omads

Updated Apr 15, 2025
Python

inikishev / torchzero

Modular optimization library for PyTorch (work-in-progress).

optimization pytorch gradient-descent numerical-optimization optimization-algorithms second-order-optimization derivative-free-optimization gradient-free-optimization zeroth-order-optimization optimizers grafting gradient-approximations first-order-optimization

Updated Aug 27, 2025
Python

BerlinerA / DSVAE-NES

This repository contains the official PyTorch implementation of the paper: "Learning Discrete Structured VAE using NES".

variational-autoencoder structured-prediction derivative-free-optimization

Updated May 3, 2022
Python

VCL3D / nevergrad

Nevergrad Optimizer Benchmarking for 3D Performance Capture

benchmark algorithm-competitions heuristic-search-algorithms volumetric-data heuristic-optimization derivative-free-optimization zeroth-order-optimization performance-capture nevergrad volumetric-capture

Updated Apr 20, 2021
Python

FilippoAiraldi / global-optimization

Myopic and non-myopic Global Optimization via IDW and RBF surrogate models

optimization rollout radial-basis-function inverse-distance-weighting derivative-free-optimization

Updated May 19, 2025
Python

thieu1995 / deforce

deforce: Derivative-Free Algorithms for Optimizing Cascade Forward Neural Networks

neural-network genetic-algorithm regression classification particle-swarm-optimization sgd-optimizer derivative-free-optimization nature-inspired-optimization cascade-forward-networks cfnn derivative-free-based-cfnn gradient-free-based-cascade-forward

Updated Nov 30, 2024
Python

Ahmed-Bayoumy / SLML

Statistical learning models library for blackbox optimization

surrogate surrogate-modelling blackbox-optimization surrogate-models surrogate-based-optimization surrogate-model-based-optimization derivative-free-optimization multidisciplinary-optimization multimodel-management relative-adequacy-framework multidisciplinary-design-optimization

Updated Dec 25, 2023
Python

atdurkin / oodx

Object-Orientated Derivative-Free Optimisation

python machine-learning neural-networks classification adaptive-learning pyomo black-box-optimization gaussian-processes bayesian-optimization optimisation design-of-experiments mathematical-programming adaptive-sampling derivative-free-optimization

Updated May 4, 2023
Python

RPGupta30 / One-Dimensional-Optimization-Technique

optimization 1-d derivative-free-optimization derivative-based-optimization

Updated Jun 14, 2020
Python

EPFL-RT-Driverless / pyGLIS

A reimplementation of the derivative-free global optimization algorithm GLIS adjusted for the needs of the team

optimization nonlinear-optimization derivative-free-optimization

Updated Jan 25, 2023
Python

blockwise-direct-search / bds_python

Blockwise Direct Search (Python version)

python optimization optimization-methods numerical-optimization derivative-free-optimization gradient-free-optimization zeroth-order-optimization

Updated Oct 4, 2024
Python

kimukook / alpha-dogs

This repo implements AlphaDOGS algorithm to optimize the objective function computed from a time-averaged statistics.

machine-learning-algorithms optimization-algorithms derivative-free-optimization

Updated Jan 13, 2020
Python

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