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

322 stars
18 watching
78 forks
Language: C++
last commit: 6 months ago
Linked from 1 awesome list


Backlinks from these awesome lists:

Related projects:

Repository Description Stars
cma-es/pycma An optimization algorithm implementation in Python 1,109
alibaba/conv-llava This project presents an optimization technique for large-scale image models to reduce computational requirements while maintaining performance. 104
eladrich/seboost An optimization method for machine learning that uses subspace optimization techniques to improve the efficiency of stochastic learning algorithms 0
kvcache-ai/ktransformers A flexible framework for LLM inference optimizations with support for multiple models and architectures 736
tlk00/bitmagic A C++ library for compact data structures and algorithms optimized for memory efficiency and high performance 412
marcoscoffier/lua---sfm A wrapper around a web-based SFM solver for optimization problems in C 3
cosmwasm/optimizer Automated compiler for generating optimized Wasm binaries from Rust contracts 123
srendle/libfm Software implementation of an optimization algorithm used in collaborative filtering and recommender systems 1,488
sakra/cotire A CMake module to automate build optimization techniques 1,301
mandrean/cw-optimizoor Optimization tool for compiling and optimizing CosmWasm smart contracts. 50
mlpack/ensmallen A high-quality C++ library for non-linear numerical optimization 743
fmassa/optimize-net An optimization library for reducing memory usage in PyTorch neural networks 282
cdslaborg/paramonte A parallel Monte Carlo and machine learning library for multiple programming languages. 273
lge-arc-advancedai/auptimizer Automates model building and deployment process by optimizing hyperparameters and compressing models for edge computing. 200
clementfarabet/lbfgs An interface to a library providing a quasi-newton method for optimization problems 2