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