https://github.com/agnostiqhq/tutorials_covalent_mlops_2022
Covalent tutorial for MLOps 2022
https://github.com/agnostiqhq/tutorials_covalent_mlops_2022
covalent covalent-tutorial distributed-computing hpc ml ml-tutorial mlops pytorch
Last synced: 3 months ago
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Covalent tutorial for MLOps 2022
- Host: GitHub
- URL: https://github.com/agnostiqhq/tutorials_covalent_mlops_2022
- Owner: AgnostiqHQ
- Created: 2022-06-08T18:43:46.000Z (over 3 years ago)
- Default Branch: main
- Last Pushed: 2022-06-10T15:41:27.000Z (over 3 years ago)
- Last Synced: 2025-01-18T03:26:09.179Z (9 months ago)
- Topics: covalent, covalent-tutorial, distributed-computing, hpc, ml, ml-tutorial, mlops, pytorch
- Language: Jupyter Notebook
- Homepage:
- Size: 4.67 MB
- Stars: 1
- Watchers: 11
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
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README
# MLOps 2022 Covalent demo
Repository contains two examples of how `covalent` can be used to run your workflows:
1. [`sample_workflow.ipynb`](./sample_workflow.ipynb):
- Contains a very simple workflow of adding and multiplying large numbers with a dependency graph and executing these different functions on different hardware backends.
2. [`pytorch_workflow.ipynb`](./pytorch_workflow.ipynb):
- Contains a slightly modified version of image classification tutorial by [Pytorch](https://pytorch.org/tutorials/beginner/blitz/cifar10_tutorial.html) and its execution on different backends.