Ecosyste.ms: Packages
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spack.io : py-ray
Ray provides a simple, universal API for building distributed applications.
Registry
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Source
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purl: pkg:spack/py-ray
Keywords: automl, data-science, deep-learning, deployment, distributed, hyperparameter-optimization, hyperparameter-search, java, machine-learning, model-selection, optimization, parallel, python, pytorch, ray, reinforcement-learning, rllib, serving, tensorflow
License: Other
Latest release: over 1 year ago
First release: about 2 years ago
Dependent packages: 4
Stars: 24,634 on GitHub
Forks: 4,297 on GitHub
See more repository details: repos.ecosyste.ms
Last synced: 23 days ago
py-fastfold 0.2.0
Optimizing Protein Structure Prediction Model Training and Inference on GPU Clusters.1 version - Latest release: over 1 year ago - 453 stars on GitHub - 1 maintainer
py-modin 0.16.2
Modin: Make your pandas code run faster by changing one line of code.1 version - Latest release: over 1 year ago - 8,468 stars on GitHub - 1 maintainer
py-ytopt 0.0.4
Ytopt package implements search using Random Forest (SuRF), an autotuning search method developed...4 versions - Latest release: almost 2 years ago - 25 stars on GitHub - 1 maintainer
py-horovod 0.21.3
Horovod is a distributed deep learning training framework for TensorFlow, Keras, PyTorch, and Apa...23 versions - Latest release: about 2 years ago - 3 dependent packages - 4 maintainers