patrick-michelberger / serverless-machine-learning
How to deploy serverless Machine Learning Microservice with AWS Lambda, API Gateway and scikit-learn
☆45Updated 6 years ago
Alternatives and similar repositories for serverless-machine-learning:
Users that are interested in serverless-machine-learning are comparing it to the libraries listed below
- Example custom model image trainable and distributable via AWS SageMaker☆36Updated last year
- This repository shows a sample example to build, manage and orchestrate Machine Learning workflows using Amazon Sagemaker and Apache Airf…☆136Updated 3 years ago
- Open innovation with 60 minute cloud experiments on AWS☆87Updated 9 months ago
- helpful resources for (big) data science☆33Updated 3 years ago
- PyConDE & PyData Berlin 2019 Airflow Workshop: Airflow for machine learning pipelines.☆46Updated last year
- MLinProduction SageMaker workshop hosted in April 2020☆15Updated 4 years ago
- How to deploy a Machine Learning model for sentiment analysis in the Cloud with AWS Lambda.☆106Updated 4 years ago
- Docker images that replicate the Amazon SageMaker Notebook instance.☆58Updated 3 years ago
- As customers move from building data lakes and analytics on AWS to building machine learning solutions, one of their biggest challenges i…☆62Updated 6 years ago
- Guide on creating an API for serving your ML model☆65Updated 2 years ago
- Using Luigi to create a Machine Learning Pipeline using the Rossman Sales data from Kaggle☆33Updated 8 years ago
- My presentation at ODSC India 2018 about Deep Learning with Apache Spark☆27Updated 6 years ago
- A self-paced workshop designed to allow you to get hands on with building a real-time data platform using serverless technologies such as…☆22Updated 6 years ago
- Sagemaker pipeline for AWS Summit New York☆58Updated 5 years ago
- ☆18Updated 5 years ago
- Explore tips and tricks to deploy machine learning models with Docker.☆13Updated last year
- MLFlow Spark Summit 2019 Presentation☆67Updated 5 years ago
- Amazon SageMaker Solution for explaining credit decisions.☆96Updated last year
- A project template for developing BYOD docker images for use in Amazon SageMaker.☆19Updated 5 years ago
- Serve scikit-learn, XGBoost, TensorFlow, and PyTorch models with AWS Lambda container images support.☆97Updated 6 months ago
- Supplementary Material for Machine Learning for Time Series Analysis☆19Updated 7 years ago
- ☆59Updated 3 years ago
- ☆93Updated 3 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
- scaffold of Apache Airflow executing Docker containers☆85Updated 2 years ago
- A simple example of python api for real time machine learning, using scikit-learn, Flask and Docker☆133Updated last year
- Use Kafka and Apache Spark streaming to perform click stream analytics☆76Updated 4 years ago
- AWS Big Data Certification☆25Updated 2 weeks ago
- ☆54Updated 2 years ago
- Deployment of ML models with Serverless APIs (AWS Lambda) and Docker☆24Updated 4 years ago