sql-machine-learning/elasticdl
A distributed deep learning training framework that runs on Kubernetes with support for TensorFlow and PyTorch.
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ElasticDL is a Kubernetes-native deep learning framework designed for distributed training across clusters. It provides fault-tolerance and elastic scheduling capabilities by leveraging Kubernetes’ scheduling and preemption features. The framework supports TensorFlow Estimator, TensorFlow Keras, and PyTorch, allowing users to define models using standard APIs and train them distributedly via command line.
Frequently asked
- What is sql-machine-learning/elasticdl?
- A distributed deep learning training framework that runs on Kubernetes with support for TensorFlow and PyTorch.
- Is elasticdl open source?
- Yes — sql-machine-learning/elasticdl is open source, released under the MIT license.
- What language is elasticdl written in?
- sql-machine-learning/elasticdl is primarily written in Python.
- How popular is elasticdl?
- sql-machine-learning/elasticdl has 744 stars on GitHub.
- Where can I find elasticdl?
- sql-machine-learning/elasticdl is on GitHub at https://github.com/sql-machine-learning/elasticdl.