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Top 15 Python sagemaker Projects
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sagemaker-python-sdk
A library for training and deploying machine learning models on Amazon SageMaker
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InfluxDB
Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
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deep-learning-containers
AWS Deep Learning Containers (DLCs) are a set of Docker images for training and serving models in TensorFlow, TensorFlow 2, PyTorch, and MXNet.
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runhouse
Write local debuggable Python which traverses your powerful remote infra. Deploy as-is. Unobtrusive, unopinionated, PyTorch-like APIs.
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sagemaker-training-toolkit
Train machine learning models within a 🐳 Docker container using 🧠 Amazon SageMaker.
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syne-tune
Large scale and asynchronous Hyperparameter and Architecture Optimization at your fingertips.
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SaaSHub
SaaSHub - Software Alternatives and Reviews. SaaSHub helps you find the best software and product alternatives
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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.
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sagemaker-run-notebook
Tools to run Jupyter notebooks as jobs in Amazon SageMaker - ad hoc, on a schedule, or in response to events
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SaaSHub
SaaSHub - Software Alternatives and Reviews. SaaSHub helps you find the best software and product alternatives
Project mention: Show HN: Auto Wiki v2 – Turn your codebase into a Wiki now with diagrams | news.ycombinator.com | 2024-04-23https://github.com/awslabs/gluonts is a great candidate for a sample wiki. It is an OSS lib, not great documentation, very hard to RTFM (unlike, say, sklearn which already has a great wiki), doubtful that awslabs would pay to produce.
We are ready to create and deploy the sagemaker model on SageMaker as asynchronous endpoint using a image URI and the model data uploaded to S3. For different deployment regions and requirements, find suitable container images at AWS Deep Learning Container.
Project mention: Debugging Python Code in Amazon SageMaker Locally Using Visual Studio Code and PyCharm: A Step-by-Step Guide | dev.to | 2023-11-15git clone https://github.com/aws-samples/amazon-sagemaker-local-mode/ cd amazon-sagemaker-local-mode/general_pipeline_local_debug python3 -m venv .venv source .venv/bin/activate pip install jupyter jupyter lab
End-to-end stuff, full-fledge stacks: https://github.com/jacopotagliabue/post-modern-stack
Python sagemaker related posts
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Migrate local Data Science workspaces to SageMaker Studio
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[D] Interactive Compute Platform Recommendations for ML Research
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[P]Spotml.io: Seamless ML training on AWS Spot instances, with docker (training 3X cheaper)
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[N] Open Sourcing Checkpoint 🛂
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Open-sourcing Bridge 🎉
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Parameters for Jupyterlab GUI notebook scheduler using sagemaker-run-notebook
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Distributed training with Horovod/MPI
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A note from our sponsor - InfluxDB
www.influxdata.com | 10 May 2024
Index
What are some of the best open-source sagemaker projects in Python? This list will help you:
Project | Stars | |
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1 | gluonts | 4,308 |
2 | sagemaker-python-sdk | 2,045 |
3 | deep-learning-containers | 937 |
4 | runhouse | 721 |
5 | spotty | 491 |
6 | sagemaker-training-toolkit | 470 |
7 | syne-tune | 365 |
8 | sagemaker-tensorflow-training-toolkit | 267 |
9 | Renate | 265 |
10 | amazon-sagemaker-local-mode | 230 |
11 | post-modern-stack | 181 |
12 | sagemaker-run-notebook | 139 |
13 | datajob | 108 |
14 | sagemaker-explaining-credit-decisions | 94 |
15 | domino-research | 76 |
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