awslabs / datawig
Imputation of missing values in tables.
☆475Updated 3 months ago
Related projects: ⓘ
- Using Deep Learning for Demand Forecasting with Amazon SageMaker☆81Updated 2 years ago
- LLMs and Machine Learning done easily☆434Updated 6 months ago
- Support code for building and running Amazon SageMaker compatible Docker containers based on the open source framework Scikit-learn (http…☆165Updated 2 weeks ago
- This is the Docker container based on open source framework XGBoost (https://xgboost.readthedocs.io/en/latest/) to allow customers use th…☆123Updated last week
- Experiment tracking and metric logging for Amazon SageMaker notebooks and model training.☆125Updated 10 months ago
- A collection of sample scripts to customize Amazon SageMaker Notebook Instances using Lifecycle Configurations☆416Updated 5 months ago
- The open source version of the Amazon SageMaker docs☆249Updated last year
- WARNING: This package has been deprecated. Please use the SageMaker Training Toolkit for model training and the SageMaker Inference Toolk…☆185Updated 4 years ago
- Amazon SageMaker examples for prebuilt framework mode containers, a.k.a. Script Mode, and more (BYO containers and models etc.)☆170Updated 8 months ago
- Train machine learning models within a 🐳 Docker container using 🧠 Amazon SageMaker.☆484Updated last week
- Serve machine learning models within a 🐳 Docker container using 🧠 Amazon SageMaker.☆381Updated 9 months ago
- Amazon SageMaker Solution for explaining credit decisions.☆95Updated last year
- A library of additional estimators and SageMaker tools based on scikit-learn☆39Updated 7 months ago
- Scale complete ML development with Amazon SageMaker Studio☆139Updated 3 months ago
- Machine Learning Ops Workshop with SageMaker: lab guides and materials.☆324Updated 3 years ago
- Tools to run Jupyter notebooks as jobs in Amazon SageMaker - ad hoc, on a schedule, or in response to events☆141Updated 11 months ago
- Fairness Aware Machine Learning. Bias detection and mitigation for datasets and models.☆66Updated 5 months ago
- ☆125Updated 4 months ago
- Workshop content for applying DevOps practices to Machine Learning workloads using Amazon SageMaker☆291Updated last year
- A collection of Machine Learning examples to get started with deploying RAPIDS in the Cloud☆138Updated last year
- ☆266Updated 2 months ago
- A Spark library for Amazon SageMaker.☆298Updated 6 months ago
- This repository shows a sample example to build, manage and orchestrate Machine Learning workflows using Amazon Sagemaker and Apache Airf…☆137Updated 3 years ago
- Amazon SageMaker Debugger provides functionality to save tensors during training of machine learning jobs and analyze those tensors☆158Updated 4 months ago
- Managing your machine learning lifecycle with MLflow and Amazon SageMaker☆144Updated 3 months ago
- Notebooks and examples on how to onboard and use various features of Amazon Forecast.☆514Updated last year
- Step Functions Data Science SDK for building machine learning (ML) workflows and pipelines on AWS☆285Updated last year
- Toolkit for running PyTorch training scripts on SageMaker. Dockerfiles used for building SageMaker Pytorch Containers are at https://gith…☆196Updated 10 months ago
- MLOps workshop with Amazon SageMaker☆84Updated 6 months ago
- A high performance data access library for machine learning tasks☆74Updated 9 months ago
- Amazon SageMaker Local Mode Examples☆242Updated last month