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AI Audio Datasets (AI-ADS) 🎵, including Speech, Music, and Sound Effects, which can provide training data for Generative AI, AIGC, AI model training, intelligent audio tool development, and audio a…
Easy-to-use and high-performance NLP and LLM framework based on MindSpore, compatible with models and datasets of 🤗Huggingface.
Audiocraft is a library for audio processing and generation with deep learning. It features the state-of-the-art EnCodec audio compressor / tokenizer, along with MusicGen, a simple and controllable…
🔊 Text-Prompted Generative Audio Model
MindSpore online courses: Step into LLM
MindSpore is a new open source deep learning training/inference framework that could be used for mobile, edge and cloud scenarios.
Muzic: Music Understanding and Generation with Artificial Intelligence
Some algorithms implemented in the software-hardware-codesign course.
Sound analysis/synthesis tools for music applications
《动手学深度学习》:面向中文读者、能运行、可讨论。中英文版被70多个国家的500多所大学用于教学。
This project reproduces the book Dive Into Deep Learning (https://d2l.ai/), adapting the code from MXNet into PyTorch.
Visualisation, analysis, and annotation of music audio recordings
🐸💬 - a deep learning toolkit for Text-to-Speech, battle-tested in research and production