anaconda.org "hyperparameter-optimization" keyword
View the packages on the anaconda.org package registry that are tagged with the "hyperparameter-optimization" keyword.
ray-default 2.46.0
Ray is a fast and simple framework for building and running distributed applications. It is split...7 versions - Latest release: 6 months ago - 5 dependent packages - 4 dependent repositories - 39,095 stars on GitHub
ray-core 2.46.0
Ray is a fast and simple framework for building and running distributed applications. It is split...8 versions - Latest release: 6 months ago - 3 dependent packages - 5 dependent repositories - 39,095 stars on GitHub
ray-tune 2.46.0
Ray is a fast and simple framework for building and running distributed applications. It is split...6 versions - Latest release: 6 months ago - 2 dependent packages - 6 dependent repositories - 39,095 stars on GitHub
ray-train 2.46.0
Ray is a fast and simple framework for building and running distributed applications. It is split...4 versions - Latest release: 6 months ago - 1 dependent repositories - 39,095 stars on GitHub
ray-debug 2.46.0
Ray is a fast and simple framework for building and running distributed applications. It is split...4 versions - Latest release: 6 months ago - 39,095 stars on GitHub
ray-dashboard 2.46.0
Ray is a fast and simple framework for building and running distributed applications. It is split...6 versions - Latest release: 6 months ago - 2 dependent repositories - 39,095 stars on GitHub
ray-observability 2.46.0
Ray is a fast and simple framework for building and running distributed applications. It is split...2 versions - Latest release: 6 months ago - 39,095 stars on GitHub
ray-serve-grpc 2.46.0
Ray is a fast and simple framework for building and running distributed applications. It is split...2 versions - Latest release: 6 months ago - 39,095 stars on GitHub
ray-client 2.46.0
Ray is a fast and simple framework for building and running distributed applications. It is split...2 versions - Latest release: 6 months ago - 39,095 stars on GitHub
ray-air 2.46.0
Ray is a fast and simple framework for building and running distributed applications. It is split...2 versions - Latest release: 6 months ago - 39,095 stars on GitHub
ray-rllib 2.46.0
Ray is a fast and simple framework for building and running distributed applications. It is split...4 versions - Latest release: 6 months ago - 1 dependent repositories - 39,095 stars on GitHub
ray-data 2.46.0
Ray is a fast and simple framework for building and running distributed applications. It is split...4 versions - Latest release: 6 months ago - 1 dependent repositories - 39,095 stars on GitHub
ray-serve 2.46.0
Ray is a fast and simple framework for building and running distributed applications. It is split...2 versions - Latest release: 6 months ago - 39,095 stars on GitHub
optuna 4.6.0 💰
Optuna is an automatic hyperparameter optimization software framework, particularly designed for ...2 versions - Latest release: about 2 months ago - 12,996 stars on GitHub
keras-tuner 1.4.8
KerasTuner is an easy-to-use, scalable hyperparameter optimization framework that solves the pain...2 versions - Latest release: about 2 months ago - 2,903 stars on GitHub
cmaes 0.12.0
Lightweight Covariance Matrix Adaptation Evolution Strategy (CMA-ES) implementation for Python 3.3 versions - Latest release: 3 months ago - 9 dependent repositories - 443 stars on GitHub
Related Keywords
machine-learning
15
tensorflow
14
deep-learning
14
distributed
14
python
14
parallel
14
serving
13
rllib
13
reinforcement-learning
13
ray
13
pytorch
13
optimization
13
llm-serving
13
llm-inference
13
llm
13
large-language-models
13
hyperparameter-search
13
deployment
13
data-science
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automl
1
keras
1
black-box-optimization
1
cma-es
1
evolution-strategies
1
evolution-strategy
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optuna
1