dudeperf3ct

16-rayserve-deploy

Model-Deployment

Deploying machine learning model using 10+ different deployment tools

practical-mlops

Notes and Exercises related to book : Practical MLOps By Noah Gift, Alfredo Deza

10-bentoml-deploy

15-mlserver-deploy

17-seldon-core-deploy

11-cortex-deploy

12-serverless-deploy

13-bodywork-train-deploy

14-kserve-deploy

6-ml-fastapi-aws-serverless

7-ml-fastapi-tests-aws-lambda

8-fastapi-tests-gcp-gke

9-fastapi-kubernetes-monitoring

animal-app

awesome-open-mlops

The Fuzzy Labs guide to the universe of open source MLOps

embedding-projector-standalone

evidently-ai-monitoring

fastapi-docker-tdd

fuzzy-ai

lightning-flash

Your PyTorch AI Factory - Flash enables you to easily configure and run complex AI recipes for over 15 tasks across 7 data domains

mlops-stacks

A series of Terraform based recipes to provision popular MLOps stacks on the cloud.

my-Module-0

plant-app

satflow

Satellite Optical Flow with machine learning models

torchserve-huggingface-transformers

dudeperf3ct.github.io

Not so personal blog !

ray

Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.

zenml

ZenML 🙏: Build portable, production-ready MLOps pipelines. https://zenml.io.

zenml-projects

A repository for all ZenML projects that are specific production use-cases.