pierreant / wine-ml-on-aws-lambdaLinks
Training and running a Machine Learning Regression Model on AWS Lambda with Scikit Learn
☆28Updated 7 years ago
Alternatives and similar repositories for wine-ml-on-aws-lambda
Users that are interested in wine-ml-on-aws-lambda are comparing it to the libraries listed below
Sorting:
- Amazon SageMaker Solution for explaining credit decisions.☆96Updated 2 years ago
- Serve scikit-learn, XGBoost, TensorFlow, and PyTorch models with AWS Lambda container images support.☆100Updated last year
- A set of dockerfiles that provide Reinforcement Learning solutions for use in SageMaker.☆81Updated last year
- Sample Jupyter Notebooks for Amazon Augmented AI (A2I)☆74Updated last year
- ☆96Updated 4 years ago
- Learn Amazon SageMaker☆106Updated 2 years ago
- Over 60 example task UIs for Amazon Augmented AI (A2I)☆99Updated 4 years ago
- Materials for a 2-day instructor led course on applying machine learning☆200Updated 4 years ago
- A step-by-step guide that shows how to do text classification by run training/inference for a custom model in Amazon SageMaker☆109Updated 5 years ago
- Fairness Aware Machine Learning. Bias detection and mitigation for datasets and models.☆71Updated 5 months ago
- Amazon SageMaker examples for prebuilt framework mode containers, a.k.a. Script Mode, and more (BYO containers and models etc.)☆171Updated last year
- The MLOps Workload Orchestrator solution helps you streamline and enforce architecture best practices for machine learning (ML) model pro…☆154Updated 2 months ago
- This is a sample solution for bringing your own ML models and inference code, and running them at scale using AWS serverless services.☆38Updated last year
- SageMaker custom deployments made easy☆61Updated 5 months ago
- Workshop to demonstrate how to apply NN based algorithms to stock market data and forecast price movements.☆129Updated 5 years ago
- This is the Docker container based on open source framework XGBoost (https://xgboost.readthedocs.io/en/latest/) to allow customers use th…☆139Updated last week
- The open source version of the Amazon SageMaker docs☆251Updated 2 years ago
- Toolkit for running PyTorch training scripts on SageMaker. Dockerfiles used for building SageMaker Pytorch Containers are at https://gith…☆205Updated last week
- Amazon SageMaker Local Mode Examples☆258Updated 4 months ago
- This repository shows a sample example to build, manage and orchestrate Machine Learning workflows using Amazon Sagemaker and Apache Airf…☆138Updated 3 years ago
- Open innovation with 60 minute cloud experiments on AWS☆88Updated last year
- Example templates for the delivery of custom ML solutions to production so you can get started quickly without having to make too many de…☆74Updated last year
- A TensorFlow Serving solution for use in SageMaker. This repo is now deprecated.☆172Updated last year
- ☆34Updated 5 years ago
- Visual search implementation resources, including an explanatory Jupyter notebook and Amazon SageMaker and AWS DeepLens code.☆67Updated 4 years ago
- Amazon SageMaker Managed Spot Training Examples☆51Updated last year
- Toolkit for running TensorFlow training scripts on SageMaker. Dockerfiles used for building SageMaker TensorFlow Containers are at https:…☆270Updated 3 months ago
- Set up end-to-end demo architecture for predictive maintenance issues with Machine Learning using Amazon SageMaker☆105Updated last year
- CLI for building Docker images in SageMaker Studio using AWS CodeBuild.☆56Updated 3 years ago
- Amazon SageMaker MLOps deployment pipeline for A/B Testing of machine learning models.☆44Updated 4 years ago