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
322 stars
18 watching
78 forks
Language: C++
last commit: 6 months ago
Linked from 1 awesome list
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. | 105 |
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 |