Python library for CMA Evolution Strategy.
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Updated
Aug 1, 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
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/]
Distributed GPU-Accelerated Framework for Evolutionary Computation. Comprehensive Library of Evolutionary Algorithms & Benchmark Problems.
Official Implementation of InstructZero; the first framework to optimize bad prompts of ChatGPT(API LLMs) and finally obtain good prompts!
Official implementation for CVPR'23 paper "BlackVIP: Black-Box Visual Prompting for Robust Transfer Learning"
Multiobjective black-box optimization using gradient-boosted trees
MetaBox: A Benchmark Platform for Meta-Black-Box Optimization with Reinforcement Learning (https://arxiv.org/abs/2310.08252)
Simplicial Homology Global Optimization
plug-n-play black box optimizer for high-throughput computing
Code for "Transfer Learning without Knowing: Reprogramming Black-box Machine Learning Models with Scarce Data and Limited Resources". (ICML 2020)
This is the official implementation for the paper: Use Your INSTINCT: INSTruction optimization usIng Neural bandits Coupled with Transformers
A derivative-free solver for general nonlinear optimization.
A ray-based library of Distributed POPulation-based OPtimization for Large-Scale Black-Box Optimization.
(CEC2022) Fast Moving Natural Evolution Strategy for High-Dimensional Problems
A Python easy implementation of the Nelder-Mead method
GARNE: Genetic-Algorithm-with-Recurrent-Network-and-Novelty-Exploration
Benchmark for Biophysical Sequence Optimization Algorithms
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