Genetic Algorithm Package for Python
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Updated
Sep 8, 2021 - Python
Genetic Algorithm Package for Python
Python library for CMA Evolution Strategy.
Surrogate Optimization Toolbox for Python
Toolbox for Bayesian Optimization and Model-Based Optimization in R
Distributed GPU-Accelerated Framework for Evolutionary Computation. Comprehensive Library of Evolutionary Algorithms & Benchmark Problems.
ICML'2022: Black-Box Tuning for Language-Model-as-a-Service & EMNLP'2022: BBTv2: Towards a Gradient-Free Future with Large Language Models
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/...). [https://pypop.rtfd.io/]
This repository contains the source code for “Thompson sampling efficient multiobjective optimization” (TSEMO).
Yet another black-box optimization library for Python
A benchmark library for Dynamic Algorithm Configuration.
Official Implementation of InstructZero; the first framework to optimize bad prompts of ChatGPT(API LLMs) and finally obtain good prompts!
Multiobjective black-box optimization using gradient-boosted trees
plug-n-play black box optimizer for high-throughput computing
Simplicial Homology Global Optimization
A black-box optimization benchmark tool
Toolbox for gradient-based and derivative-free non-convex constrained optimization with continuous and/or discrete variables.
Derivative-Free Global Optimization Algorithm (C++, Python binding) - Continuous, Discrete, TSP, NLS, MINLP
Black-box optimization framework for R.
A Python easy implementation of the Nelder-Mead method
Official implementation for CVPR'23 paper "BlackVIP: Black-Box Visual Prompting for Robust Transfer Learning"
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