zeroth-order-optimization
There are 28 repositories under zeroth-order-optimization topic.
LeCAR-Lab/model-based-diffusion
Official implementation for the paper "Model-based Diffusion for Trajectory Optimization". Model-based diffusion (MBD) is a novel diffusion-based trajectory optimization framework that employs a dynamics model to run the reverse denoising process to generate high-quality trajectories.
Evolutionary-Intelligence/pypop
[JMLR (CCF-A)] PyPop7: A Pure-PYthon LibrarY for POPulation-based Black-Box Optimization (BBO), especially *Large-Scale* algorithm variants (from evolutionary computation, swarm intelligence, statistics, operations research, machine learning, mathematical optimization, meta-heuristics, auto-control etc.). [https://jmlr.org/papers/v25/23-0386.html]
max-andr/square-attack
Square Attack: a query-efficient black-box adversarial attack via random search [ECCV 2020]
microprediction/humpday
Elo ratings for global black box derivative-free optimizers
LeCAR-Lab/CoVO-MPC
Official implementation for the paper "CoVO-MPC: Theoretical Analysis of Sampling-based MPC and Optimal Covariance Design" accepted by L4DC 2024. CoVO-MPC is an optimal sampling-based MPC algorithm.
pdfo/pdfo
Powell's Derivative-Free Optimization solvers.
ZO-Bench/ZO-LLM
[ICML 2024] Official code for the paper "Revisiting Zeroth-Order Optimization for Memory-Efficient LLM Fine-Tuning: A Benchmark ".
liangyuwang/zo2
ZO2 (Zeroth-Order Offloading): Full Parameter Fine-Tuning 175B LLMs with 18GB GPU Memory
OPTML-Group/DeepZero
[ICLR'24] "DeepZero: Scaling up Zeroth-Order Optimization for Deep Model Training" by Aochuan Chen*, Yimeng Zhang*, Jinghan Jia, James Diffenderfer, Jiancheng Liu, Konstantinos Parasyris, Yihua Zhang, Zheng Zhang, Bhavya Kailkhura, Sijia Liu
as791/ZOO_Attack_PyTorch
This repository contains the PyTorch implementation of Zeroth Order Optimization Based Adversarial Black Box Attack (https://arxiv.org/abs/1708.03999)
damon-demon/Black-Box-Defense
Robustify Black-Box Models (ICLR'22 - Spotlight)
fouratifares/ECP
Every Call is Precious: Global Optimization of Black-Box Functions with Unknown Lipschitz Constants
caesarcai/ZORO
Zeroth-Order Regularized Optimization (ZORO): Approximately Sparse Gradients and Adaptive Sampling
hassaanhashmi/pd_zdpg_plus
Code for IEEE MLSP 2021 paper titled "Model-Free Learning of Optimal Deterministic Resource Allocations in Wireless Systems via Action-Space Exploration"
inikishev/torchzero
Modular optimization library for PyTorch (work-in-progress).
optiprofiler/optiprofiler
Benchmarking optimization solvers.
caesarcai/SCOBO
SCOBO: Sparsity-aware Comparison Oracle Based Optimization
glorgao/NES-HT
Hard-Thresholding Meets Evolution Strategies in Reinforcement Learning
rebeccadf/Zeroth-order-optimization-methods
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.
blockwise-direct-search/bds
Blockwise Direct Search (MATLAB version)
QiqiDuan257/pop-lsbbo
A pure-MATLAB library for POPulation-based Large-Scale Black-Box Optimization (pop-lsbbo).
StatNLP/sparse_szo
Sparse Perturbations for Improved Convergence in Stochastic Zeroth-Order Optimization
VCL3D/nevergrad
Nevergrad Optimizer Benchmarking for 3D Performance Capture
blockwise-direct-search/bds_development
Arhiva of the MATLAB version of Blockwise Direct Search
blockwise-direct-search/bds_octave
Blockwise Direct Search (Octave version)
blockwise-direct-search/bds_python
Blockwise Direct Search (Python version)
libprima/.github
PRIMA: Reference Implementation for Powell's methods with Modernization and Amelioration
ZigeW/SODA
[NeurIPS 2023] “SODA: Robust Training of Test-Time Data Adaptors”