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This issue is the hub for tracking SD-based Jupyter notebooks. See also SageMaker (#27).
All the big cloud platforms have services for deploying Jupyter notebooks:
- On AWS (Amazon): SageMaker (se…
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1. Add one kubeflow native example using tfjob, etc
2. Add taxi cab e2e example
3. Add one cloud native example -> Use EMR to process data, Sagemaker to train model, Athena and then K8s to deploy th…
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**Link to the notebook**
https://github.com/aws/amazon-sagemaker-examples/blob/main/introduction_to_amazon_algorithms/jumpstart-foundation-models/mistral-7b-instruction-domain-adaptation-finetuning.i…
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**Describe the bug**
RepackModel steps in pipeline execution fails when built and upsert from Windows Environment.
**To reproduce**
- Start from a sagemaker [tutorial training pipeline](https://s…
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**Is your feature request related to a problem? Please describe.**
Running PyDeequ on Glue, EMR is not always easy due to the packaging and unique env settings etc. Users commonly need to trail and e…
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**Link to the notebook**
[rl_cartpole_batch_coach.ipynb](https://github.com/aws/amazon-sagemaker-examples/blob/master/reinforcement_learning/rl_cartpole_batch_coach/rl_cartpole_batch_coach.ipynb)
…
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Checklist
- [x] I've prepended issue tag with type of change: [bug]
- [ ] (If applicable) I've attached the script to reproduce the bug
- [ ] (If applicable) I've documented below the DLC image/doc…
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When installing datasets[s3[ for uploading HF datasets to S3, there is a botocore version problem
```
!pip install datasets[s3]
[..]
ERROR: pip's dependency resolver does not currently take into a…
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**Describe the bug**
I am trying to run a serverless endpoint but the endpoint always fails to get created while trying to install dependencies. I understand that serverless endpoints do not have muc…
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I tried to build my own tensorflow algorithm in `train.py` by adopting from `mnist-2.py` (available in [amazon-sagemaker-examples/sagemaker-python-sdk/tensorflow_script_mode_training_and_serving/](htt…