audio.cpp is a high-performance C++ audio inference framework built on top of ggml, designed to make modern local audio models practical, portable, and fast. Tired of juggling a dozen Conda environments, hundreds of Python packages, and dependency conflicts just to try a few audio models?
"With Docker, developers can build any app in any language using any toolchain. “Dockerized” apps are completely portable and can run anywhere - colleagues’ OS X and Windows laptops, QA servers running Ubuntu in the cloud, and production data center VMs running Red Hat.
Osmantic Deployment System Turn your PC, Mac, or Linux box into a private AI server. AI server and homelab setup is rapidly becoming a solved problem.
This is a hands-on guide to machine learning for programmers with no background in AI. Using a neural network doesn’t require a PhD, and you don’t need to be the person who makes the next breakthrough in AI in order to use what exists today.
audio.cpp is a high-performance C++ audio inference framework built on top of ggml, designed to make modern local audio models practical, portable, and fast. Tired of juggling a dozen Conda environments, hundreds of Python packages, and dependency conflicts just to try a few audio models?
"With Docker, developers can build any app in any language using any toolchain. “Dockerized” apps are completely portable and can run anywhere - colleagues’ OS X and Windows laptops, QA servers running Ubuntu in the cloud, and production data center VMs running Red Hat.
Osmantic Deployment System Turn your PC, Mac, or Linux box into a private AI server. AI server and homelab setup is rapidly becoming a solved problem.
This is a hands-on guide to machine learning for programmers with no background in AI. Using a neural network doesn’t require a PhD, and you don’t need to be the person who makes the next breakthrough in AI in order to use what exists today.