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A minimum unofficial implementation of the "A Convolutional Recurrent Neural Network for Real-Time Speech Enhancement" (CRN) using PyTorch
Repository for NeurIPS 2020 Spotlight "AdaBelief Optimizer: Adapting stepsizes by the belief in observed gradients"
Code accompanying the paper "Semi-supervised adversarial audio source separation applied to singing voice extraction"
The PyTorch-based audio source separation toolkit for researchers || Pretrained models available
Mixing an audio file with a noise file at any Signal-to-Noise Ratio (SNR)
PyTorch code to separate instruments from music using a low-latency neural network
Leetcode 题解 (跟随思路一步一步撸出代码) 及经典算法实现
speech enhancement\speech seperation\sound source localization
A curated list of awesome Speech Enhancement papers, libraries, datasets, and other resources.
基于复数的卷积神经网络:实现了复数卷积、复数池化、复数激活函数、复数全连接、复数Dropout等
Convolutional neural nets for single channel speech enhancement
Complex domain recurrent neural network gating and Stiefel-manifold optimization in tensorflow, NeurIPS 2018
A STFT/iSTFT written up in PyTorch using 1D Convolutions
A PyTorch implementation of Conv-TasNet described in "TasNet: Surpassing Ideal Time-Frequency Masking for Speech Separation" with Permutation Invariant Training (PIT).
Complex-valued neural networks for pytorch and Variational Dropout for real and complex layers.
Control mechanisms to the U-Net architecture for doing multiple source separation instruments
implementation of "DCCRN-Deep Complex Convolution Recurrent Network for Phase-Aware Speech Enhancement" by pytorch
Audio Source Separation Without Any Training Data.
Implementation Phase-aware Speech Enhancement with Deep Complex U-Net
Deep Xi: A Deep Learning Approach to A Priori SNR Estimation. Used for Speech Enhancement and robust ASR.
Code for the paper Music Source Separation in the Waveform Domain
Densely Connected Convolutional Networks, In CVPR 2017 (Best Paper Award).
A PyTorch implementation of DenseNet.
本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet代码实现改为PyTorch实现。
Deep Learning Model for Signal Data
Implementation of “Improving DNN-based Music Source Separation using Phase Features ”, the method is beautiful, but the result sucks.
Implementation of DNN-based Music Source Separation
Audio Denoising with Deep Network Priors
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.