sejalv / serverless-ml-workshopLinks
Deployment of ML models with AWS Lambda, ECR, Docker, and GitOps
☆25Updated last week
Alternatives and similar repositories for serverless-ml-workshop
Users that are interested in serverless-ml-workshop are comparing it to the libraries listed below
Sorting:
- Load Testing ML Microservices for Robustness and Scalability☆14Updated 3 years ago
- Deploy A/B testing infrastructure in a containerized microservice architecture for Machine Learning applications.☆40Updated 11 months ago
- Best practices for engineering ML pipelines.☆36Updated 3 years ago
- 🛠 Python project template with unit tests, code coverage, linting, type checking, Makefile wrapper, and GitHub Actions.☆151Updated last year
- Metaflow tutorials for ODSC West 2021☆64Updated 4 years ago
- ☆18Updated 4 years ago
- This is a repository for the Duke University Cloud Computing course project on Serveless Data Engineering Pipeline. For this project, I r…☆20Updated 4 years ago
- Materials for my 2021 NYU class on NLP and ML Systems (Master of Engineering).☆97Updated 3 years ago
- ∞ Priceloop Engineering Conventions for Scala, Python, Git Workflow etc☆100Updated 3 years ago
- Demo Computer Vision Project☆65Updated 2 years ago
- A PaaS End-to-End ML Setup with Metaflow, Serverless and SageMaker.☆37Updated 4 years ago
- ☆20Updated last year
- 🧪 Simple data science experimentation & tracking with jupyter, papermill, and mlflow.☆184Updated last year
- Learn how to monitor ML systems to identify and mitigate sources of drift before model performance decay.☆92Updated 3 years ago
- This repository is to host template for calculating ROI on Artificial Intelligence projects☆45Updated 6 years ago
- Serverless Deep Learning with TensorFlow and AWS Lambda, published by Packt☆25Updated 4 years ago
- The purpose of the catalog is to help data science teams to collect all the requirements to consider while building a ML model and produc…☆133Updated 4 years ago
- Metadata store for Production ML☆88Updated 3 years ago
- ☆21Updated 2 years ago
- 🐍 Material for PyData Global 2021 Presentation: Effective Testing for Machine Learning Projects☆82Updated 3 years ago
- ☆66Updated 7 months ago
- ☆72Updated 5 years ago
- This codebase is a starting point to get your Machine Learning project into Production.☆43Updated 5 years ago
- This sample demonstrates how to setup an Amazon SageMaker MLOps end-to-end pipeline for Drift detection☆64Updated 2 years ago
- [Video]AWS Certified Machine Learning-Specialty (ML-S) Guide☆121Updated 11 months ago
- A demo of Prometheus+Grafana for monitoring an ML model served with FastAPI.☆233Updated last year
- Concept drift monitoring for HA model servers.☆101Updated 2 years ago
- Example project with a CNN to train a Pokémon type classifier, adapted for DTC workshop☆36Updated 2 years ago
- Exercises performed as part of the ML Zoomcamp course☆30Updated 3 years ago
- A comprehensive reference for all topics related to building and maintaining microservices☆67Updated 3 years ago