# ML Sprint: PyTorch Best Practises, Model Deploying Resources

**URL:** <https://community.wandb.ai/t/ml-sprint-pytorch-best-practises-model-deploying-resources/491>\
**Category:** Show the Community!\
**Created:** [September 10, 2021, 12:15pm UTC](https://community.wandb.ai/t/ml-sprint-pytorch-best-practises-model-deploying-resources/491 "2021-09-10T12:15:15Z")\
**Posts on this page:** 5\
**Page:** 1

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**Author:** ![bhutanisanyam1](https://sea2.discourse-cdn.com/flex020/user_avatar/community.wandb.ai/bhutanisanyam1/32/18_2.png) [@bhutanisanyam1](https://community.wandb.ai/u/bhutanisanyam1)\
**Post date:** [September 10, 2021, 12:15pm UTC](https://community.wandb.ai/t/ml-sprint-pytorch-best-practises-model-deploying-resources/491/1 "2021-09-10T12:15:15Z")

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Hi Everybody!  
As part of our first community hangout, we’re excited to be hosting a few sprints. This is one of the same:

The plan with ML Sprints is to run week-long activities where our community will contribute to projects.

For the first set of sprints, we’re curating the Top “PyTorch Best Practises” and Model Deploying Resources.

This is a wiki! This means all of you can edit it, please do so!

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**Author:** ![aadil](https://sea2.discourse-cdn.com/flex020/user_avatar/community.wandb.ai/aadil/32/152_2.png) [@aadil](https://community.wandb.ai/u/aadil)\
**Post date:** [September 13, 2021, 2:10am UTC](https://community.wandb.ai/t/ml-sprint-pytorch-best-practises-model-deploying-resources/491/2 "2021-09-13T02:10:33Z")

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Deploying PyTorch model for Beginners:

1. Using Binder. A great [notebook](https://github.com/fastai/fastbook/blob/master/02_production.ipynb) by FastAI team. [Lecture](https://course.fast.ai/videos/?lesson=3) by Jeremy Howard.
2. Using Flask(good for self-learning, but won’t recommend in a Production Environment). [Pytorch Offical Link,](https://pytorch.org/tutorials/intermediate/flask_rest_api_tutorial.html) [Kdnuggets](https://www.kdnuggets.com/2019/03/deploy-pytorch-model-production.html)
3. Using super awesome FastAPI(good for self-learning as well as for Production Environment). [Link](https://towardsdatascience.com/how-you-can-quickly-deploy-your-ml-models-with-fastapi-9428085a87bf)
4. All in one resource. [Github](https://github.com/ahkarami/Deep-Learning-in-Production)

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**Author:** ![ierezell](https://avatars.discourse-cdn.com/v4/letter/i/7cd45c/32.png) [@ierezell](https://community.wandb.ai/u/ierezell)\
**Post date:** [September 13, 2021, 5:20pm UTC](https://community.wandb.ai/t/ml-sprint-pytorch-best-practises-model-deploying-resources/491/3 "2021-09-13T17:20:40Z")

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Best Tutorial for MLops I’ve found : [GitHub - graviraja/MLOps-Basics](https://github.com/graviraja/MLOps-Basics)

Talks about everything :

- week\_0\_project\_setup
- week\_1\_wandb\_logging
- week\_2\_hydra\_config
- week\_3\_dvc
- week\_4\_onnx
- week\_5\_docker
- week\_6\_github\_actions
- week\_7\_ecr
- week\_8\_serverless
- week\_9\_monitoring

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**Author:** ![theadammurphy](https://sea2.discourse-cdn.com/flex020/user_avatar/community.wandb.ai/theadammurphy/32/234_2.png) [@theadammurphy](https://community.wandb.ai/u/theadammurphy)\
**Post date:** [September 15, 2021, 9:12pm UTC](https://community.wandb.ai/t/ml-sprint-pytorch-best-practises-model-deploying-resources/491/4 "2021-09-15T21:12:15Z")

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This is **mind blowingly amazing**! I’ve just read through what is covered in each week. So excited to learn this and put it into practice. Thanks for sharing.

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**Author:** ![\_scott](https://sea2.discourse-cdn.com/flex020/user_avatar/community.wandb.ai/_scott/32/95_2.png) [@\_scott](https://community.wandb.ai/u/_scott)\
**Post date:** [May 13, 2022, 10:22am UTC](https://community.wandb.ai/t/ml-sprint-pytorch-best-practises-model-deploying-resources/491/5 "2022-05-13T10:22:56Z")

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