Popular GitHub Repositories for Black Box Optimization

ICML'2022: Black-Box Tuning for Language-Model-as-a-Service & EMNLP'2022: BBTv2: Towards a Gradient-Free Future with Large Language Models

Toolbox for Bayesian Optimization and Model-Based Optimization in R

Official implementation for CVPR'23 paper "BlackVIP: Black-Box Visual Prompting for Robust Transfer Learning"

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

This is the official implementation for the paper: Use Your INSTINCT: INSTruction optimization usIng Neural bandits Coupled with Transformers

QROA: A Black-Box Query-Response Optimization Attack on LLMs

GARNE: Genetic-Algorithm-with-Recurrent-Network-and-Novelty-Exploration

Implementation for NeurIPS'24 paper "Black-Box Forgetting."

Implementation of the algorithms described in the papers "ZO-AdaMM: Zeroth Order Adaptive Momentum" by Chen et al., "Stochastic first- and zeroth-order methods" by Ghadimi et al. and "SignSGD via zeroth- order oracle" by Liu et al.

Black-box adversarial attacks on deep neural networks with tensor train (TT) decomposition and PROTES optimizer.

Code for executing virtual experiments with intelligent bet-and-run strategies for optimization, which efficiently utilize a total computational budget for getting good results by first starting n runs and after some time pick one of them to continue for the remaining budget.

Code repository of Embedded Bandits for Large-Scale Black-Box Optimization (AAAI'17)

Build fair and safe Machine Learning models in Python