Difference between revisions of "MLRun"
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| + | [[wikipedia:MLRun]] in an Open Source [[MLOps]] Orchestration Framework | ||
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* https://github.com/mlrun/mlrun | * https://github.com/mlrun/mlrun | ||
| + | * [[MLRun Kubernetes installation]] | ||
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| + | == Ports == | ||
| + | * [[Jupyter-Lab]] - http://localhost:30040 | ||
| + | * MLRun - http://localhost:30050 | ||
| + | * [[Nuclio]] - http://localhost:30060 | ||
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| + | == Related == | ||
| + | * [[Nuclio]] | ||
| + | * [[Jupyter]] | ||
| + | * [[MPI Operator]] | ||
| + | |||
| + | == See also == | ||
| + | * {{MLRun}} | ||
| + | * {{ML}} | ||
| − | + | [[Category:ML]] | |
Latest revision as of 06:11, 10 August 2022
wikipedia:MLRun in an Open Source MLOps Orchestration Framework
Ports[edit]
Related[edit]
See also[edit]
- MLRun
- Machine learning, Deep learning, AWS Sagemaker, PyTorch, Kubeflow, TensorFlow, Keras, Torch, Spark ML, Tinygrad, Apple Neural Engine, Scikit-learn, MNIST, MLOps, AutoML, ClearML, PostgresML, AWS Batch, Transformer, Diffusion, Backpropagation, JAX, Vector database, LLM, The Forrester Wave: AI/ML Platforms
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