mpavlovic / serverless-machine-learningLinks
Examples of deploying scikit, spaCy and Keras (TensorFlow) machine learning models to AWS Lambda with Serverless framework and Python 3.
☆32Updated 2 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
Sorting:
- In this AWS Machine Learning Specialty Course, You will gain first-hand experience on how to train, optimize, deploy, and integrate ML in…☆236Updated 6 months ago
- [Video]AWS Certified Machine Learning-Specialty (ML-S) Guide☆122Updated 8 months ago
- ☆63Updated 7 years ago
- Example project for the course "Testing & Monitoring Machine Learning Model Deployments"☆136Updated last year
- Case studies, examples, and exercises for learning to deploy ML models using AWS SageMaker.☆363Updated 3 years ago
- This repository shows a sample example to build, manage and orchestrate Machine Learning workflows using Amazon Sagemaker and Apache Airf…☆138Updated 4 years ago
- Learn Amazon SageMaker☆106Updated last month
- A short workshop on datascience pipelines using mlflow and airflow☆53Updated 2 years ago
- Jupyter notebooks for pyspark tutorials given at University☆110Updated 2 months ago
- ☆143Updated 2 years ago
- Udacity Data Science Nanodegree Program☆67Updated 6 years ago
- Example custom model image trainable and distributable via AWS SageMaker☆35Updated 2 years ago
- ☆151Updated 7 years ago
- This is repository of my YouTube Course on End to End Apache Spark in AIEngineering YouTube Channel☆189Updated 4 years ago
- Data models, build data warehouses and data lakes, automate data pipelines, and worked with massive datasets.☆13Updated 6 years ago
- Notes and material for the "Machine Learning Engineer Nanodegree" (MLND) by Udacity.☆72Updated 5 years ago
- Materials for a 2-day instructor led course on applying machine learning☆200Updated 4 years ago
- Added repo for PyData LA 2018 tutorial☆88Updated 6 years ago
- ☆152Updated 2 years ago
- Deep Learning Udacity Nanodegree - SageMaker Deployment of a Sentiment Analysis model☆10Updated 6 years ago
- Machine Learning Ops Workshop with SageMaker: lab guides and materials.☆330Updated 4 years ago
- Code and associated files for the deploying ML models within AWS SageMaker☆475Updated last year
- ☆35Updated 4 years ago
- Notes on Flask REST API and tutorial☆148Updated 7 years ago
- Explore tips and tricks to deploy machine learning models with Docker.☆13Updated 2 years ago
- Partly lecture and partly a hands-on tutorial and workshop, this is a three part series on how to get started with MLflow. In this three …☆240Updated 5 years ago
- Deploy your ML model as an API on AWS☆41Updated 4 years ago
- AWS Certified Machine Learning - Specialty (MLS-C01)☆166Updated 2 years ago
- This is an example of a Containerized Flask Application that can deploy to many target environments including: AWS, GCP and Azure.☆417Updated 8 months ago
- Build end-to-end Machine Learning pipeline to predict accessibility of playgrounds in NYC☆15Updated 5 years ago