Black-box optimization framework for R.
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Updated
Nov 8, 2024 - R
Black-box optimization framework for R.
Implementation for NeurIPS'24 paper "Black-Box Forgetting".
Flexible Bayesian Optimization in R
Distributed GPU-Accelerated Framework for Evolutionary Computation. Comprehensive Library of Evolutionary Algorithms & Benchmark Problems.
QROA: A Black-Box Query-Response Optimization Attack on LLMs
Black-box optimization for real-world scenario
A collection of MetaBBO papers and code sources
MetaBox: A Benchmark Platform for Meta-Black-Box Optimization with Reinforcement Learning (https://arxiv.org/abs/2310.08252)
[JMLR-2024] PyPop7: A Pure-Python Library for POPulation-based Black-Box Optimization (BBO), especially their *Large-Scale* versions/variants (-> evolutionary algorithms/swarm-based optimizers/pattern search/...).
Python library for CMA Evolution Strategy.
Python implementation library of advanced Cooperation Coevolution framework
A collection and visualization of single objective black-box functions for optimization benchmarking.
A derivative-free solver for general nonlinear optimization.
Benchmark for Biophysical Sequence Optimization Algorithms
(GECCO2023 Best Paper Nomination & ACM TELO) CMA-ES with Learning Rate Adaptation
Official implementation of ICML'24 paper "Offline Multi-Objective Optimization".
DeepSeek and LLaMA Implementation for BBT (ICML22)
A benchmark library for Dynamic Algorithm Configuration.
Derivative-Free Global Optimization Algorithm (C++, Python binding) - Continuous, Discrete, TSP, NLS, MINLP
Official Implementation of InstructZero; the first framework to optimize bad prompts of ChatGPT(API LLMs) and finally obtain good prompts!
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