
One key thing happening in the ML landscape is that more and more models are getting produced, but are they actually getting deployed?

Discussion about MLOps - Machine Learning Operations
One key thing happening in the ML landscape is that more and more models are getting produced, but are they actually getting deployed?
New special interest working group from the Linux Foundation Project that focuses on MLOps and Continuous Delivery.
Feast: An Open Source Feature Store for Machine Learning
Feast is an end-to-end open source feature store for machine learning. It allows teams to define, manage, discover, and serve features.
This is an excellent tool for serving feature data for training and testing machine learning models and building data pipelines. It supports both cloud and on-prem servers.
Awesome MLOps
A curated list of references for MLOps . Contribute to visenger/awesome-mlops development by creating an account on GitHub.
An awesome list of references for MLOps - Machine Learning Operations