Lists (8)
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Anamaly-Detection
Some baselines in unsupervised methods based on MVTEC_AD datasetBIG-Model
Buaa
BUAA Relateddata mining
diffusion model
Facial micro-expression
vedio
Vedio stabilization
Some methods on vedio stabilizationStars
Official implementation of YingMusic-SVC.
一个基于 JavaScript 的网盘文件下载地址获取工具。基于【网盘直链下载助手】修改 ,支持 百度网盘 / 阿里云盘 / 中国移动云盘 / 天翼云盘 / 迅雷云盘 / 夸克网盘 / UC网盘 / 123云盘 八大网盘
Fre-GAN: Adversarial Frequency-consistent Audio Synthesis
HiFi-GAN: Generative Adversarial Networks for Efficient and High Fidelity Speech Synthesis
Pitch-shifting, time-stretching, and vocoding of speech with Controllable LPCNet (CLPCNet)
Curated list of groundbreaking music generation research.
PyTorch Implementation of TCSinger 2(ACL 2025): Customizable Multilingual Zero-shot Singing Voice Synthesis
Diffusion-based singing voice pitch correction
Learning the Beauty in Songs: Neural Singing Voice Beautifier; ACL 2022 (Main conference); Official code
DiffSinger: Singing Voice Synthesis via Shallow Diffusion Mechanism (SVS & TTS); AAAI 2022; Official code
Official implementation of Neural Audio Fingerprint (ICASSP 2021)
A library that provides an embeddable, persistent key-value store for fast storage.
C library for generating audio fingerprints used by AcoustID
MNN: A blazing-fast, lightweight inference engine battle-tested by Alibaba, powering high-performance on-device LLMs and Edge AI.
Robust Speech Recognition via Large-Scale Weak Supervision
🔊 Text-Prompted Generative Audio Model
Deezer source separation library including pretrained models.
Official repository of the paper "MuQ: Self-Supervised Music Representation Learning with Mel Residual Vector Quantization".
Visualizer for neural network, deep learning and machine learning models
A song aesthetic evaluation toolkit trained on SongEval.
CUDA Templates and Python DSLs for High-Performance Linear Algebra
Repository-level Repair Agent Based on SWE-Bench—JoyCode Agent
Fast CUDA matrix multiplication from scratch
My learning notes for ML SYS.
📚LeetCUDA: Modern CUDA Learn Notes with PyTorch for Beginners🐑, 200+ CUDA Kernels, Tensor Cores, HGEMM, FA-2 MMA.🎉