#
derivative-free-optimization
Here are
18 public repositories
matching this topic...
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/ ]
Updated
Jun 22, 2024
Python
Distributed GPU-Accelerated Framework for Evolutionary Computation. Comprehensive Library of Evolutionary Algorithms & Benchmark Problems.
Updated
Jun 22, 2024
Python
Elo ratings for global black box derivative-free optimizers
Updated
Jan 21, 2024
Python
Sampling based Model Predictive Control package for Model-Based RL research
Updated
Oct 20, 2020
Python
A simple implementation of SPSA with automatic learning rate tuning
Updated
Jun 5, 2022
Python
Python library for root-finding in one dimension
Updated
Jun 24, 2023
Python
Zeroth-Order Regularized Optimization (ZORO): Approximately Sparse Gradients and Adaptive Sampling
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Jun 6, 2024
Python
Benchmarking optimization solvers.
Updated
Jun 13, 2024
Python
This repository contains the official PyTorch implementation of the paper: "Learning Discrete Structured VAE using NES".
Updated
May 3, 2022
Python
OMADS - A blackbox optimization python package
Updated
Jun 21, 2024
Python
Nevergrad Optimizer Benchmarking for 3D Performance Capture
Updated
Apr 20, 2021
Python
Statistical learning models library for blackbox optimization
Updated
Dec 25, 2023
Python
A reimplementation of the derivative-free global optimization algorithm GLIS adjusted for the needs of the team
Updated
Jan 25, 2023
Python
0th order optimizers, gradient chaining, random gradient approximation
Updated
May 27, 2024
Python
Object-Orientated Derivative-Free Optimisation
Updated
May 4, 2023
Python
Updated
Jun 14, 2020
Python
deforce: Derivative-Free Algorithms for Optimizing Cascade Forward Neural Networks
Updated
Apr 6, 2024
Python
This repo implements AlphaDOGS algorithm to optimize the objective function computed from a time-averaged statistics.
Updated
Jan 13, 2020
Python
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