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.
Yeah agreed, there is some out-dated stuff in there but it is still a nice starting point when researching how to build a FOSS studio. Are there any lists that are more modern?
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.
Massive List of 70+ Open Source Music Production Tools
Open source music tools can make it easy to create a music production studio on a $0 budget. Learn how to start making music with free music production software with this comprehensive roundup of tools and technologies
Here's a helpful list of free and open-source tools for producing music. It's got everything from DAW's to samplers, synths and more.
Zaiste · Doom Emacs screencasts
Super helpful tutorials to get started using Doom
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