Everything you need to build production-ready agents and models. Access 200+ Google and third-party AI models and tools.
Gemini Enterprise Agent Platform is Google Cloud's comprehensive platform for developers to build, scale, govern, and optimize agents and models. Choose from Google's most advanced models and third-party models like Anthropic's Claude Model Family.
Try It Free
Fully Managed MySQL, PostgreSQL, and SQL Server
Automatic backups, patching, replication, and failover. Focus on your app, not your database.
Cloud SQL handles your database ops end to end, so you can focus on your app.
ScoreDate is a software to learn music reading and ear training
ScoreDate is your date with the music !
It is an open source software written in Java that helps musicians to learn music reading. It also helps you with ear training.
It is suitable for any skill, from beginners to professional users. From slow training to first sight reading.
...This contains the core DSP functions.
2) ModSyn-j2se: includes desktop-specific components and a GUI to interactively create your own patches.
3) lib-abnormal: A small JNI library to enable floating point 'flush-to-zero' mode to avoid denormal floats for improved performance (currently Windows-only).
On desktop, it supports MIDI, JavaSound and ASIO.
ASIO is highly recommended for low-latency audio (install the great ASIO4ALL driver!).
Includes a number of good-sounding example patches for various synthesizer sounds and audio effects to get you started.
This project´s goal is to add ASIO support to JavaSound. It is aimed for Windows and Macintosh systems and contains the C++ part for accessing the ASIO drivers as well as the Java part providing a MixerProvider PlugIn.
Up to Java1.3 we only had blocking, in Java1.4 we finally have non-blocking IO.
This project will implement a way of asynchronous handling of sockets, dns-lookups and ssl-connections.
It may provide native implementation for windows and unix.
AppSignal's MCP server hands Claude, Cursor, or Zed your real errors, traces, and the deploy that shipped them. AI writes the fix; you review the diff.