Top 23 sagemaker Open-Source Projects

• amazon-sagemaker-examples

  17 9,557 9.1 Jupyter Notebook

  Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.

  

Project mention: Thesis Project Help Using SageMaker Free Tier | /r/aws | 2023-09-23

I need to use AWS Sagemaker (required, can't use easier services) and my adviser gave me this document to start with: https://github.com/aws/amazon-sagemaker-examples/blob/main/introduction_to_amazon_algorithms/jumpstart-foundation-models/question_answering_retrieval_augmented_generation/question_answering_langchain_jumpstart.ipynb

• gluonts

  4 4,325 8.7 Python

  Probabilistic time series modeling in Python

  

Project mention: Show HN: Auto Wiki v2 – Turn your codebase into a Wiki now with diagrams | news.ycombinator.com | 2024-04-23

https://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.

• InfluxDB

  www.influxdata.com featured

  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.

  

• sagemaker-python-sdk

  1 2,048 9.7 Python

  A library for training and deploying machine learning models on Amazon SageMaker

  

• deep-learning-containers

  1 937 9.7 Python

  AWS Deep Learning Containers (DLCs) are a set of Docker images for training and serving models in TensorFlow, TensorFlow 2, PyTorch, and MXNet.

  

Project mention: Deploying whisperX on AWS SageMaker as Asynchronous Endpoint | dev.to | 2024-03-31

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.

• runhouse

  6 725 9.8 Python

  Write local debuggable Python which traverses your powerful remote infra. Deploy as-is. Unobtrusive, unopinionated, PyTorch-like APIs.

  

Project mention: Runhouse | news.ycombinator.com | 2024-04-22

• spotty

  3 492 0.0 Python

  Training deep learning models on AWS and GCP instances

  

• sagemaker-training-toolkit

  1 470 6.3 Python

  Train machine learning models within a 🐳 Docker container using 🧠 Amazon SageMaker.

  

• SaaSHub

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• syne-tune

  1 366 8.1 Python

  Large scale and asynchronous Hyperparameter and Architecture Optimization at your fingertips.

  

• sagemaker-tensorflow-training-toolkit

  1 267 0.0 Python

  Toolkit for running TensorFlow training scripts on SageMaker. Dockerfiles used for building SageMaker TensorFlow Containers are at https://github.com/aws/deep-learning-containers.

  

• Renate

  1 265 8.6 Python

  Library for automatic retraining and continual learning

  

• fraud-detection-using-machine-learning

  7 248 1.8 Jupyter Notebook

  Setup end to end demo architecture for predicting fraud events with Machine Learning using Amazon SageMaker

  

• amazon-sagemaker-local-mode

  1 232 7.7 Python

  Amazon SageMaker Local Mode Examples

  

Project mention: Debugging Python Code in Amazon SageMaker Locally Using Visual Studio Code and PyCharm: A Step-by-Step Guide | dev.to | 2023-11-15

git 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

• realtime-fraud-detection-with-gnn-on-dgl

  7 204 4.3 TypeScript

  An end-to-end blueprint architecture for real-time fraud detection(leveraging graph database Amazon Neptune) using Amazon SageMaker and Deep Graph Library (DGL) to construct a heterogeneous graph from tabular data and train a Graph Neural Network(GNN) model to detect fraudulent transactions in the IEEE-CIS dataset.

  

Project mention: realtime-fraud-detection-with-gnn-on-dgl: NEW Extended Research - star count:165.0 | /r/algoprojects | 2023-05-20

• post-modern-stack

  2 181 2.2 Python

  Joining the modern data stack with the modern ML stack

Project mention: [Advice] MLOps Course recommendations | /r/datascience | 2023-06-24

End-to-end stuff, full-fledge stacks: https://github.com/jacopotagliabue/post-modern-stack

• Hello-AWS-Data-Services

  2 177 8.7 Jupyter Notebook

  AWS Data/MLServices sample code & notes for my LinkedIn Learning courses

• sagemaker-run-notebook

  2 139 0.0 Python

  Tools to run Jupyter notebooks as jobs in Amazon SageMaker - ad hoc, on a schedule, or in response to events

  

• datajob

  4 108 0.0 Python

  Build and deploy a serverless data pipeline on AWS with no effort.

• sagemaker-explaining-credit-decisions

  2 94 2.4 Python

  Amazon SageMaker Solution for explaining credit decisions.

  

• aws-lambda-docker-serverless-inference

  1 92 4.0 Jupyter Notebook

  Serve scikit-learn, XGBoost, TensorFlow, and PyTorch models with AWS Lambda container images support.

  

• domino-research

  3 76 0.0 Python

  Projects developed by Domino's R&D team

  

• sagemaker-distribution

  1 75 9.2 Dockerfile

  A set of Docker images that include popular frameworks for machine learning, data science and visualization.

  

Project mention: Amazon SageMaker Distribution | news.ycombinator.com | 2023-07-14

• amazon-sagemaker-model-serving-using-aws-cdk

  1 44 3.8 TypeScript

  This repository provides AI/ML service(MachineLearning model serving) modernization solution using Amazon SageMaker, AWS CDK, and AWS Serverless services.

  

• sagemaker-feature-store-real-time-recommendations

  1 29 0.0 Jupyter Notebook

  Build a real-time recommendation engine for an e-commerce website leveraging SageMaker Feature Store as a core component of the solution.

  

Project mention: ITS URGENT!!! | /r/aws | 2023-08-17

Can anyone help in running a code on sagemaker? Its a repository hosted on aws-samples still its not running our base is that code if that doesn't work we cant make a project. I have an aws account. https://github.com/aws-samples/sagemaker-feature-store-real-time-recommendations

• SaaSHub

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