https://github.com/run-house/runhouse
Dispatch and distribute your ML training to "serverless" clusters in Python, like PyTorch for ML infra. Iterable, debuggable, multi-cloud/on-prem, identical across research and production.
https://github.com/run-house/runhouse
api artificial-intelligence aws azure collaboration data-science deployment distributed fastapi gcp infrastructure machine-learning middleware observability python pytorch ray sagemaker serverless
Last synced: 12 days ago
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Dispatch and distribute your ML training to "serverless" clusters in Python, like PyTorch for ML infra. Iterable, debuggable, multi-cloud/on-prem, identical across research and production.
- Host: GitHub
- URL: https://github.com/run-house/runhouse
- Owner: run-house
- License: apache-2.0
- Created: 2022-05-10T14:10:51.000Z (almost 3 years ago)
- Default Branch: main
- Last Pushed: 2024-11-13T03:08:03.000Z (5 months ago)
- Last Synced: 2024-11-13T04:02:14.858Z (5 months ago)
- Topics: api, artificial-intelligence, aws, azure, collaboration, data-science, deployment, distributed, fastapi, gcp, infrastructure, machine-learning, middleware, observability, python, pytorch, ray, sagemaker, serverless
- Language: Python
- Homepage: https://run.house
- Size: 29.9 MB
- Stars: 976
- Watchers: 9
- Forks: 37
- Open Issues: 66
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Metadata Files:
- Readme: README.md
- Contributing: CONTRIBUTING.md
- License: LICENSE
- Security: docs/security-and-authentication.rst
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README
# 🏃♀️Runhouse🏠 is now 📦Kubetorch🔥
This repository is no longer supported as we privately beta 📦Kubetorch🔥, the next generation of this project.
Kubetorch is for production people that like Kubernetes and ML people that don't.
It's a Pythonic, debuggable successor to Kubeflow just as PyTorch succeeded Tensorflow.
To join the waitlist, please contact us at [email protected] .