aws / amazon-sagemaker-examplesLinks
Example π Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using π§ Amazon SageMaker.
β10,753Updated last week
Alternatives and similar repositories for amazon-sagemaker-examples
Users that are interested in amazon-sagemaker-examples are comparing it to the libraries listed below
Sorting:
- A library for training and deploying machine learning models on Amazon SageMakerβ2,192Updated this week
- AI and Machine Learning with Kubeflow, Amazon EKS, and SageMakerβ3,410Updated last year
- AWS Deep Learning Containers are pre-built Docker images that make it easier to run popular deep learning frameworks and tools on AWS.β1,107Updated this week
- Machine Learning University: Accelerated Natural Language Processing Classβ2,425Updated 11 months ago
- A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learningβ19,252Updated this week
- Train machine learning models within a π³ Docker container using π§ Amazon SageMaker.β515Updated 2 weeks ago
- β309Updated 3 weeks ago
- Machine Learning Interviews from FAANG, Snapchat, LinkedIn. I have offers from Snapchat, Coupang, Stitchfix etc. Blog: mlengineer.io.β11,482Updated 2 years ago
- Example notebooks for working with SageMaker Studio Lab. Sign up for an account at the link below!β738Updated last year
- Amazon SageMaker workshops: Introduction, TensorFlow in SageMaker, and moreβ388Updated 3 years ago
- Machine Learning University: Accelerated Tabular Data Classβ1,030Updated 11 months ago
- Public repo for DeepLearning.AI MLEP Specializationβ1,933Updated 11 months ago
- A collection of sample scripts to customize Amazon SageMaker Notebook Instances using Lifecycle Configurationsβ430Updated last year
- TensorFlow's Visualization Toolkitβ7,005Updated last month
- A booklet on machine learning systems design with exercises. NOT the repo for the book "Designing Machine Learning Systems", which is `dmβ¦β9,588Updated 2 years ago
- Notebooks and examples on how to onboard and use various features of Amazon Forecast.β525Updated 2 years ago
- Code and associated files for the deploying ML models within AWS SageMakerβ475Updated last year
- The open source version of the Amazon SageMaker docsβ251Updated 2 years ago
- A guideline for building practical production-level deep learning systems to be deployed in real world applications.β4,524Updated 3 months ago
- Tutorials, assignments, and competitions for MIT Deep Learning related courses.β10,365Updated last year
- Build, Manage and Deploy AI/ML Systemsβ9,558Updated this week
- Evidently is ββan open-source ML and LLM observability framework. Evaluate, test, and monitor any AI-powered system or data pipeline. Froβ¦β6,670Updated this week
- Deepchecks: Tests for Continuous Validation of ML Models & Data. Deepchecks is a holistic open-source solution for all of your AI & ML vaβ¦β3,912Updated last month
- The Open Source Feature Store for AI/MLβ6,366Updated this week
- A curated list of references for MLOpsβ13,353Updated 10 months ago
- Case studies, examples, and exercises for learning to deploy ML models using AWS SageMaker.β363Updated 3 years ago
- Machine Learning University: Accelerated Computer Vision Classβ1,604Updated 11 months ago
- TFX is an end-to-end platform for deploying production ML pipelinesβ2,164Updated last week
- Source code accompanying O'Reilly book: Machine Learning Design Patternsβ2,034Updated 4 years ago
- Serve machine learning models within a π³ Docker container using π§ Amazon SageMaker.β406Updated last year