Python library for CMA Evolution Strategy.
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Updated
Nov 12, 2024 - Python
Python library for CMA Evolution Strategy.
ICML'2022: Black-Box Tuning for Language-Model-as-a-Service & EMNLP'2022: BBTv2: Towards a Gradient-Free Future with Large Language Models
Genetic Algorithm Package for Python
Distributed GPU-Accelerated Framework for Evolutionary Computation. Comprehensive Library of Evolutionary Algorithms & Benchmark Problems.
[***JMLR-2024***] PyPop7: A Pure-Python Library for POPulation-based Black-Box Optimization (BBO), especially *Large-Scale* versions/variants (e.g., evolutionary algorithms, swarm-based optimizers, pattern search, and random search, etc.). [Citation: https://jmlr.org/papers/v25/23-0386.html (***CCF-A***)]
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Yet another black-box optimization library for Python
Toolbox for gradient-based and derivative-free non-convex constrained optimization with continuous and/or discrete variables.
Official implementation for CVPR'23 paper "BlackVIP: Black-Box Visual Prompting for Robust Transfer Learning"
This repository contains the source code for “Thompson sampling efficient multiobjective optimization” (TSEMO).
A black-box optimization benchmark tool
MetaBox: A Benchmark Platform for Meta-Black-Box Optimization with Reinforcement Learning (https://proceedings.neurips.cc/paper_files/paper/2023/hash/232eee8ef411a0a316efa298d7be3c2b-Abstract-Datasets_and_Benchmarks.html)
Multiobjective black-box optimization using gradient-boosted trees
A derivative-free solver for general nonlinear optimization.
Simplicial Homology Global Optimization
plug-n-play black box optimizer for high-throughput computing
This is the official implementation for the paper: Use Your INSTINCT: INSTruction optimization usIng Neural bandits Coupled with Transformers
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