libcmaes

Stochastic optimizer

A C++11 library for high-performance blackbox stochastic optimization using the CMA-ES algorithm.

libcmaes is a multithreaded C++11 library with Python bindings for high performance blackbox stochastic optimization using the CMA-ES algorithm for Covariance Matrix Adaptation Evolution Strategy

GitHub

324 stars
18 watching
80 forks
Language: C++
last commit: over 2 years ago
Linked from 1 awesome list


Backlinks from these awesome lists:

Related projects:

RepositoryDescriptionStars
cma-es/pycmaAn optimization algorithm implementation in Python1,123
alibaba/conv-llavaThis project presents an optimization technique for large-scale image models to reduce computational requirements while maintaining performance.106
eladrich/seboostAn optimization method for machine learning that uses subspace optimization techniques to improve the efficiency of stochastic learning algorithms0
kvcache-ai/ktransformersA flexible framework for LLM inference optimizations with support for multiple models and architectures771
tlk00/bitmagicA C++ library for compact data structures and algorithms optimized for memory efficiency and high performance413
marcoscoffier/lua---sfmA wrapper around a web-based SFM solver for optimization problems in C3
cosmwasm/optimizerAutomated compiler for generating optimized Wasm binaries from Rust contracts123
srendle/libfmSoftware implementation of an optimization algorithm used in collaborative filtering and recommender systems1,487
sakra/cotireA CMake module to automate build optimization techniques1,301
mandrean/cw-optimizoorOptimization tool for compiling and optimizing CosmWasm smart contracts.50
mlpack/ensmallenA C++ library for numerical optimization tasks754
fmassa/optimize-netAn optimization library for reducing memory usage in PyTorch neural networks282
cdslaborg/paramonteA parallel Monte Carlo and machine learning library for multiple programming languages.275
lge-arc-advancedai/auptimizerAutomates model building and deployment process by optimizing hyperparameters and compressing models for edge computing.200
clementfarabet/lbfgsAn interface to a library providing a quasi-newton method for optimization problems2