sagemaker-distribution
sagemaker-run-notebook
| sagemaker-distribution | sagemaker-run-notebook | |
|---|---|---|
| 1 | 2 | |
| 74 | 139 | |
| - | -1.4% | |
| 9.2 | 0.0 | |
| 5 days ago | 7 months ago | |
| Dockerfile | Python | |
| Apache License 2.0 | Apache License 2.0 |
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sagemaker-distribution
sagemaker-run-notebook
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Experience migrating from Databricks to various AWS services
Notebooks are more of a tech/design debt. Job was originally created in notebooks and never refactored into a more maintainable solution. Do you have a recommendation on services to use with the papermill library? I saw the Sagemaker Convenience Package seems to rely on this a bit, but seems a little out of place for Sagemaker.
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Parameters for Jupyterlab GUI notebook scheduler using sagemaker-run-notebook
I am used to working on jupyter notebooks and have some experience with python scripting for extracting data. I created a notebook that extracts comments, runs sentiment analysis, and dumps data to S3- however, I am struggling with the CRON aspect of things. I want to automate running of the script every day at a set time. I am using the sagemaker-run-notebook package to do this, specifically using the GUI Jupyterlab extension. However, I am not sure what the parameters need to be. I tried a few combinations, and this is my best guess at the values. I am getting a JSON error, which I am not sure I understand. Can someone with experience working with on the sagemaker-run-notebook extension please help me out?
What are some alternatives?
blender-docker-cli - :monkey_face: Blender in :whale: Docker
elyra - Elyra extends JupyterLab with an AI centric approach.
sagemaker-tensorflow-training-toolkit - Toolkit for running TensorFlow training scripts on SageMaker. Dockerfiles used for building SageMaker TensorFlow Containers are at https://github.com/aws/deep-learning-containers.
jupytext - Jupyter Notebooks as Markdown Documents, Julia, Python or R scripts
oneAPI-samples - Samples for Intel® oneAPI Toolkits
spotty - Training deep learning models on AWS and GCP instances
cresset - Template repository to build PyTorch projects from source on any version of PyTorch/CUDA/cuDNN.
ipycanvas - Interactive Canvas in Jupyter
sagemaker-python-sdk - A library for training and deploying machine learning models on Amazon SageMaker
jupyterlab_templates - Support for jupyter notebook templates in jupyterlab
libtensorflow_cc - Pre-built libtensorflow_cc.so and Docker Images for TensorFlow C++ API
sagemaker-training-toolkit - Train machine learning models within a 🐳 Docker container using 🧠 Amazon SageMaker.