BenchmarkFcns
Optimization benchmarks
Provides benchmarking functions for mathematical optimization algorithms
A Python and MATLAB implementation of mathematical test functions for benchmarking optimization algorithms.
67 stars
5 watching
13 forks
Language: C++
last commit: 2 days ago
Linked from 1 awesome list
benchmarkoptimization
Related projects:
Repository | Description | Stars |
---|---|---|
automl/hpobench | A collection of benchmark problems for hyperparameter optimization | 140 |
mlpack/ensmallen | A C++ library for numerical optimization tasks | 754 |
huggingface/optimum-benchmark | A tool for comparing and optimizing the performance of various machine learning frameworks and models on different hardware platforms. | 274 |
cbcrg/benchfam | Generates a benchmark dataset for evaluating protein alignment programs | 3 |
szilard/benchm-ml | A benchmark for evaluating machine learning algorithms' performance on large datasets | 1,874 |
catboost/benchmarks | Comparative benchmarks of various machine learning algorithms | 169 |
brml/climin | A Python package for gradient-based function optimization in machine learning | 181 |
mlcommons/inference | Measures the performance of deep learning models in various deployment scenarios. | 1,256 |
100/solid | A comprehensive framework for solving optimization problems without gradient calculations. | 575 |
bimk/platemo | An evolutionary multi-objective optimization platform that provides a comprehensive set of algorithms and benchmark problems for researchers and developers. | 1,671 |
hiroyuki-kasai/gdlibrary | A collection of unconstrained optimization algorithms implemented in MATLAB | 67 |
acerbilab/bads | An optimization algorithm designed to fit computational models in the absence of gradient information or noisy objective functions. | 246 |
unc-optimization/feddr | An implementation of algorithms for nonconvex federated learning optimization | 8 |
ecoapm/benchmarkmocknet | Performs performance benchmarking of various .NET mocking libraries | 22 |
bodigrim/tasty-bench | A lightweight benchmarking framework with a simple statistical model | 80 |