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Search results for evolutionary algorithm hyperparameter optimization
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hyperparameter-optimization
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1 search results found
Vizier
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1,142
Python-based research interface for blackbox and hyperparameter optimization, based on the internal Google Vizier Service.
Robyn
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974
Robyn is an experimental, AI/ML-powered and open sourced Marketing Mix Modeling (MMM) package from Meta Marketing Science. Our mission is to democratise modeling knowledge, inspire the industry through innovation, reduce human bias in the modeling process & build a strong open source marketing science community.
Fedot
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582
Automated modeling and machine learning framework FEDOT
Agilerl
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457
Streamlining reinforcement learning with RLOps
Hypernets
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256
A General Automated Machine Learning framework to simplify the development of End-to-end AutoML toolkits in specific domains.
Sklearn Genetic Opt
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236
ML hyperparameters tuning and features selection, using evolutionary algorithms.
Biteopt
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118
Derivative-Free Global Optimization Method (C++, Python binding)
Propulate
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24
Propulate is an asynchronous evolutionary optimization algorithm and software package for global optimization and hyperparameter search on high-performance computers.
Metabox
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18
MetaBox: A Benchmark Platform for Meta-Black-Box Optimization with Reinforcement Learning (https://arxiv.org/abs/2310.08252)
Madac
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15
Official implementation of NeurIPS22 paper “Multi-agent Dynamic Algorithm Configuration”
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