sejalv / serverless-ml-workshop
Deployment of ML models with Serverless APIs (AWS Lambda) and Docker
☆24Updated 4 years ago
Alternatives and similar repositories for serverless-ml-workshop:
Users that are interested in serverless-ml-workshop are comparing it to the libraries listed below
- Best practices for engineering ML pipelines.☆35Updated 2 years ago
- Deploy A/B testing infrastructure in a containerized microservice architecture for Machine Learning applications.☆40Updated 3 months ago
- ☆21Updated last year
- ☆18Updated 3 years ago
- Load Testing ML Microservices for Robustness and Scalability☆14Updated 3 years ago
- Deploy Machine Learning Pipeline on AWS Fargate☆13Updated 2 years ago
- Metaflow tutorials for ODSC West 2021☆64Updated 3 years ago
- This repository is to host template for calculating ROI on Artificial Intelligence projects☆44Updated 5 years ago
- This is a repository for the Duke University Cloud Computing course project on Serveless Data Engineering Pipeline. For this project, I r…☆19Updated 4 years ago
- Demo on how to use Prefect with Docker☆25Updated 2 years ago
- This sample demonstrates how to setup an Amazon SageMaker MLOps end-to-end pipeline for Drift detection☆60Updated last year
- A repository that showcases how you can use ZenML with Git☆69Updated 9 months ago
- A PaaS End-to-End ML Setup with Metaflow, Serverless and SageMaker.☆37Updated 4 years ago
- ∞ Priceloop Engineering Conventions for Scala, Python, Git Workflow etc☆101Updated 2 years ago
- Demo for Using GitHub Actions in MLOps☆40Updated 2 years ago
- Example project with a CNN to train a Pokémon type classifier, adapted for DTC workshop☆34Updated last year
- mlctl is the control plane for MLOps. It provides a CLI and a Python SDK for supporting key operations related to MLOps, such as "model t…☆25Updated 3 years ago
- ☆17Updated last year
- This is code depository for my upcoming session. Will update details post the session☆40Updated 2 years ago
- Using a feature store to connect the DataOps and MLOps workflows to enable collaborative teams to develop efficiently.☆56Updated 2 years ago
- Serverless Deep Learning with TensorFlow and AWS Lambda, published by Packt☆25Updated 4 years ago
- A guide to AWS Machine Learning Certified - Speciality☆34Updated 4 years ago
- 🐍 Material for PyData Global 2021 Presentation: Effective Testing for Machine Learning Projects☆81Updated 3 years ago
- Projects developed by Domino's R&D team☆76Updated 3 years ago
- Using AWS Lambda with Docker to deploy a deep learning model☆23Updated 4 years ago
- AWS Machine Learning-Specialty- my notes☆48Updated 5 years ago
- Slides and notebook for the workshop on serving bert models in production☆25Updated 2 years ago
- Introduction to MLflow with a demo locally and how to set it on AWS☆42Updated 4 years ago
- Learn how to monitor ML systems to identify and mitigate sources of drift before model performance decay.☆84Updated 2 years ago
- Simple template showing how to set up docker for reproducible data science with Jupyter notebooks.☆23Updated 10 months ago