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.
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/]
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
Official implementation for CVPR'23 paper "BlackVIP: Black-Box Visual Prompting for Robust Transfer Learning"
A Python easy implementation of the Nelder-Mead method
MetaBox: A Benchmark Platform for Meta-Black-Box Optimization with Reinforcement Learning (https://arxiv.org/abs/2310.08252)
A Python library to help implement kurobako's solvers and problems
A derivative-free solver for general nonlinear optimization.
Zeroth-Order Regularized Optimization (ZORO): Approximately Sparse Gradients and Adaptive Sampling
GARNE: Genetic-Algorithm-with-Recurrent-Network-and-Novelty-Exploration
Code for "Transfer Learning without Knowing: Reprogramming Black-box Machine Learning Models with Scarce Data and Limited Resources". (ICML 2020)
Official implementation of ICML'24 paper "Offline Multi-Objective Optimization".
This is the official implementation for the paper: Use Your INSTINCT: INSTruction optimization usIng Neural bandits Coupled with Transformers
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