Search Results for "python data analysis"
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6 projects for "python data analysis" with 2 filters applied:
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Train ML Models With SQL You Already KnowBuild and deploy ML models using familiar SQL. Automate data prep with built-in Gemini. Query 1 TB and store 10 GB free monthly.
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Gemini 3 and 200+ AI Models on One PlatformBuild generative AI apps with Vertex AI. Switch between models without switching platforms.
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Loris
C++ class library for sound analysis, synthesis, and morphing
Loris is a library for sound analysis, synthesis, and morphing, developed by Kelly Fitz and Lippold Haken at the CERL Sound Group. Loris includes a C++ class library, Python module, C-linkable interface, command line utilities, and documentation. -
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A C++ library and Python module for audio synthesis featuring dynamic digital filters. Nsound lets you easily shape waveforms and write to disk or plot them. Nsound aims to be as powerful as Csound but easy to use.
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xSonify
Java-based sonification data analysis
xSonify is a Java-based sonification data analysis prototype for displaying science data as sounds, with an emphasis on supporting visually-impaired researchers. Alternatives include Sonification Sandbox <http://sonify.psych.gatech.edu/research/>, MathTrax and Earth Plus <http://prime.jsc.nasa.gov/>, Sonifyer <http://www.sonifyer.org> and SoniPy <http://sourceforge.net/projects/sonipy/>. -
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pd-codelab
Collections of abstractions for Pure Data
pd-codelab is a collection of abstractions, patchs and scripts for the Pure Data software made by the French community, notably around the forum http://codelab.fr -
Go from Code to Production URL in SecondsSkip the Kubernetes configs. Cloud Run handles HTTPS, scaling, and infrastructure automatically. Two million requests free per month.
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Moodtrack contains Python classes for music-emotion analysis and assembly, enabling users to build soundtracks based on emotion and timing. USERS: Music Supervisors/Composers/Producers, Game Audio Developers, Content Providers. FILM DEMO: moodtrack.tv
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musicomp is a program which most important element is an evolutionary algorithm which uses data mining methods as a fitness function to generate monophone melodies.
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