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Advanced Signal Processing Notebooks and Tutorials
Collection of audio-focused loss functions in PyTorch
speech enhancement\speech seperation\sound source localization
Implementation of Band Split Roformer, SOTA Attention network for music source separation out of ByteDance AI Labs
Causal depthwise conv1d in CUDA, with a PyTorch interface
Conformer-based Metric GAN for speech enhancement
Inference code for CodeLlama models
互联网首份程序员考公指南,由3位已经进入体制内的前大厂程序员联合献上。
C++实现CRN前向推理
The implementation of "A Recursive Network with Dynamic Attention for Monaural Speech Enhancement"
The implementation of "Dual-branch Attention-In-Attention Transformer for single-channel speech enhancement"
The audio demos with respect to the paper "DBT-Net: Dual-branch federative magnitude and phase estimation with attention-in-attention transformer for monaural speech enhancement" are provided (submitted to TASLP). The code will also be released soon.
deep learning for image processing including classification and object-detection etc.
Noise supression using deep filtering
An unofficial implementation of DeepVQE proposed by Microsoft Corp.
Code for calculate DNS_MOS.
Implementation of paper "DPCRN: Dual-Path Convolution Recurrent Network for Single Channel Speech Enhancement"
An official implementation of the ICASSP 2024 paper: Dual-Path TFC-TDF UNet for Music Source Separation
Unofficial reimplementation of ECAPA-TDNN for speaker recognition (EER=0.86 for Vox1_O when train only in Vox2)
The implementation of "End-to-End Neural Speaker Diarization with an Iterative Adaptive Attractor Estimation", which is accepted by Neural Networks.
Implementation of 1D, 2D, and 3D FFT convolutions in PyTorch. Much faster than direct convolutions for large kernel sizes.
Fully Quantized Neural Networks For Speech Enhancement
The official PyTorch implementation of "FullSubNet+: Channel Attention FullSubNet with Complex Spectrograms for Speech Enhancement".
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.