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Awesome GitHub RepositoriesParallel Objective Evaluations
The execution of multiple objective function samples across parallel workers to accelerate the search process.
Distinct from Objective Function Minimization: Focuses on the parallel execution of the optimization loop rather than the mathematical act of minimization.
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Awesome Parallel Objective Evaluations GitHub Repositories
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- facebookresearch/nevergrad
facebookresearch/nevergrad
4,151在 GitHub 上查看Nevergrad is a gradient-free optimization library and hyperparameter optimization framework designed to find the minimum of objective functions without using derivatives. It serves as an asynchronous optimization engine that decouples parameter suggestions from result reporting to support parallel function evaluations. The project specializes in multi-objective optimization to identify Pareto fronts for competing goals and provides a suite for benchmarking the performance and convergence of different optimization routines. It supports black-box system optimization, enabling the tuning of exte
Evaluates multiple parameter sets across different workers simultaneously to find the optimal value faster.
Python
