2 repositorios
Awesome GitHub RepositoriesCustom Parameter Mapping Interfaces
Tools for creating modular UI controls that map high-dimensional data to synthesis parameters.
Distinct from Interface Plugin Architectures: Distinct from general interface plugins: focuses specifically on the mapping of high-dimensional musical data to synthesis parameters.
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Awesome Custom Parameter Mapping Interfaces GitHub Repositories
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- magenta/magenta
magenta/magenta
19,778Ver en GitHubMagenta is a comprehensive toolkit for training, synthesizing, and performing music through neural models and hardware-integrated engines. It functions as a machine learning framework that enables the generation, manipulation, and real-time performance of audio, providing the structural foundations for musical intelligence through hierarchical sequence modeling and symbolic processing. The project distinguishes itself by enabling real-time, low-latency neural audio synthesis that can be integrated directly into professional digital audio workstations. It supports interactive musical jamming a
Provides tools for creating custom interfaces to visualize and control musical data.
Python - keplergl/kepler.gl
keplergl/kepler.gl
11,871Ver en GitHubKepler.gl is a web-based geospatial visualization framework designed for rendering large-scale location datasets. It functions as a modular React mapping component that enables developers to embed interactive, high-performance geographic visualizations into web applications, serving as a comprehensive engine for building browser-based GIS dashboards. The library distinguishes itself through a highly extensible architecture that centers on centralized state management. By utilizing a predictable state-driven model, it allows for the programmatic control of map layers, filters, and viewport set
Extends and overrides default mapping components to create branded, domain-specific interfaces.
TypeScriptdata-visualizationgeospatialkepler
