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Class on machine w/ PDF, lectures, code.
MLX is an array framework for machine learning on Apple silicon, developed by Apple machine learning research.
This package contains the matlab implementation of the algorithms described in the book Pattern Recognition and Machine Learning by C. Bishop.
Python Machine Learning Pentesting Toolbox for Adversarial Attacks. Works with LLMs, DNNs, and other machine learning algorithms.
Open-source, low-code machine learning library in Python that automates machine learning workflows.
A curated list of AI tools for music composition, generation, and analysis.
Easy way to create royalty free music.
A simple notebook demonstrating prompt-based music generation via Mubert API.
Examples for ICASSP2024 paper “StemGen: A music generation model that listens”.
Discover, create, and share music with the world. Use the latest technology to create AI music in seconds.
Works with speech, voice, music or other audio using machine-learning models.
Works with speech, voice, music or other audio using machine-learning models.
Works with speech, voice, music or other audio using machine-learning models.
Works with speech, voice, music or other audio using machine-learning models.
Works with speech, voice, music or other audio using machine-learning models.
Works with speech, voice, music or other audio using machine-learning models.
Works with speech, voice, music or other audio using machine-learning models.
Works with speech, voice, music or other audio using machine-learning models.
Works with speech, voice, music or other audio using machine-learning models.
Works with speech, voice, music or other audio using machine-learning models.
Works with speech, voice, music or other audio using machine-learning models.
Works with speech, voice, music or other audio using machine-learning models.
Works with speech, voice, music or other audio using machine-learning models.