PyPop7: A Pure-Python Library for POPulation-based Black-Box Optimization (BBO), especially their *Large-Scale* versions/variants. https://pypop.rtfd.io/
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Updated
Jun 9, 2024 - Python
PyPop7: A Pure-Python Library for POPulation-based Black-Box Optimization (BBO), especially their *Large-Scale* versions/variants. https://pypop.rtfd.io/
This is the official implementation for the paper: Use Your INSTINCT: INSTruction optimization usIng Neural bandits Coupled with Transformers
Zeroth-Order Regularized Optimization (ZORO): Approximately Sparse Gradients and Adaptive Sampling
Official implementation of ICML'24 paper "Offline Multi-Objective Optimization".
MetaBox: A Benchmark Platform for Meta-Black-Box Optimization with Reinforcement Learning (https://arxiv.org/abs/2310.08252)
A derivative-free solver for general nonlinear optimization.
Python library for CMA Evolution Strategy.
Black-box optimization framework for R.
(GECCO2023 Best Paper Nomination) CMA-ES with Learning Rate Adaptation
A collection and visualization of single objective black-box functions for optimization benchmarking.
This repository provides practical implementations, examples, and insights into various optimization methods, making it easier to understand and apply these concepts.
Distributed GPU-Accelerated Framework for Evolutionary Computation. Comprehensive Library of Evolutionary Algorithms & Benchmark Problems.
Asynchronous Differential Evolution
[ICML 2024] Boundary Exploration for Bayesian Optimization With Unknown Physical Constraints
Benchmark for Biophysical Sequence Optimization Algorithms
Covariance Matrix Adaptation Evolution Strategy (CMA-ES) implementation on C#
Multiobjective black-box optimization using gradient-boosted trees
Flexible Bayesian Optimization in R
A ray-based library of Distributed POPulation-based OPtimization for Large-Scale Black-Box Optimization.
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