sejalv / serverless-ml-workshopLinks
Deployment of ML models with AWS Lambda, ECR, Docker, and GitOps
☆25Updated last month
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 4 years ago
- This repository is to host template for calculating ROI on Artificial Intelligence projects☆45Updated 6 years ago
- This is a repository for the Duke University Cloud Computing course project on Serveless Data Engineering Pipeline. For this project, I r…☆21Updated 4 years ago
- ☆18Updated 4 years ago
- ∞ Priceloop Engineering Conventions for Scala, Python, Git Workflow etc☆100Updated 3 years ago
- Best practices for engineering ML pipelines.☆36Updated 3 years ago
- Deploy A/B testing infrastructure in a containerized microservice architecture for Machine Learning applications.☆40Updated last year
- A guide to AWS Machine Learning Certified - Speciality☆34Updated 5 years ago
- [Video]AWS Certified Machine Learning-Specialty (ML-S) Guide☆122Updated last year
- Serve scikit-learn, XGBoost, TensorFlow, and PyTorch models with AWS Lambda container images support.☆100Updated last year
- This repository contains code to learn AI and ML on Google Cloud Platform☆101Updated 4 years ago
- 🐍 Material for PyData Global 2021 Presentation: Effective Testing for Machine Learning Projects☆81Updated 4 years ago
- This repo will teach you how to deploy an ML-powered web app to AWS Fargate from start to finish using Streamlit and AWS CDK☆109Updated 4 years ago
- 🛠 Python project template with unit tests, code coverage, linting, type checking, Makefile wrapper, and GitHub Actions.☆152Updated last year
- ☆21Updated 2 years ago
- ☆96Updated 4 years ago
- Example MLOps using BentoML & mlFlow☆38Updated 4 years ago
- Introduction to MLflow with a demo locally and how to set it on AWS☆43Updated 4 years ago
- Demo Computer Vision Project☆65Updated 3 years ago
- Deploy Machine Learning Pipeline on AWS Fargate☆13Updated 3 years ago
- Metaflow tutorials for ODSC West 2021☆65Updated 4 years ago
- Materials for my 2021 NYU class on NLP and ML Systems (Master of Engineering).☆97Updated 3 years ago
- ☆26Updated 5 years ago
- Learn how to monitor ML systems to identify and mitigate sources of drift before model performance decay.☆96Updated 3 years ago
- AWS Machine Learning-Specialty- my notes☆51Updated 6 years ago
- Simple template showing how to set up docker for reproducible data science with Jupyter notebooks.☆23Updated last year
- A demo of Prometheus+Grafana for monitoring an ML model served with FastAPI.☆234Updated last year
- Neural networks in pandas☆51Updated 3 years ago
- Template for a modular, Python-based data science project.☆40Updated last year
- This sample demonstrates how to setup an Amazon SageMaker MLOps end-to-end pipeline for Drift detection☆64Updated 2 years ago