amazon-sagemaker-examples
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Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.
*Description of changes:* Fix typos ## Merge Checklist _Put an `x` in the boxes that apply. You can also fill these out after creating the PR. If you're unsure about...
**Link to the notebook** Replicating the readme files https://github.com/aws/amazon-sagemaker-examples/tree/main/sagemaker-python-sdk/dgl_gcn **Describe the bug** After creation of the DGL_py36_pytorch1.2 environment, with pytorch backend, selecting the environment does not work (broken link symbol,...
*Issue #, if available:* 2525 *Description of changes:* I updated Dockerfile to install the latest version of dask. If the old Dockerfile is used, we can not build docker image...
*Issue #, if available:* Fixes https://github.com/aws/amazon-sagemaker-examples/issues/1518 Daily CI fails *Description of changes:* It is found that the daily CI failed because the right version of smdebugger is not used (i.e....
I have a few raw .csv files in my S3 bucket. How can I process them in parallel to reduce run time? See comments on where I require a little...
Link to the notebook: https://github.com/aws/amazon-sagemaker-examples/blob/master/reinforcement_learning/rl_deepracer_robomaker_coach_gazebo/deepracer_rl.ipynb Error: --------------------------------------------------------------------------- Exception encountered at "In [3]": --------------------------------------------------------------------------- ModuleNotFoundError Traceback (most recent call last) in 9 sys.path.append("common") 10 sys.path.append("./src") ---> 11 from misc import get_execution_role,...
p4d instance provides 21.9% decrease in training time compare to p3dn. *Description of changes:* ### Hyperparameters Updated: * activation_checkpointing = True (1) * active_microbatches = 4 * microbatches = 4...
Example of RStudio Rmd to train-tune-deploy. The example uses the widely used Abalone dataset. Uses R to visualise and preprocess the data and then uses SageMaker built-in XGBoost algorithm to...
**Link to the notebook** Add the link to the notebook. **What aspects of the notebook can be improved?** **What are your suggestions?**
*Description of changes:* * add Tensorflow 2.4.2 IOC notebook example *Testing done:* * test on personal sagemaker studio * ## Merge Checklist _Put an `x` in the boxes that apply....
