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An implementation of the AlphaZero algorithm for Gomoku (also called Gobang or Five in a Row)
The PyTorch-based audio source separation toolkit for researchers
A tutorial for Speech Enhancement researchers and practitioners. The purpose of this repo is to organize the world’s resources for speech enhancement and make them universally accessible and useful.
A list of useful resources in the bird sound (song and calls) recognition, such as datasets, papers, links to open source projects and competitions
This project analyzes and detects bird audio sounds. It used mel-spectrograms and apply CNN over it.
Co-Separating Sounds of Visual Objects (ICCV 2019)
Multi-Task Audio Source Separation, Two-Stage Model, Complex Domain.
A PyTorch implementation of the paper: "LaSAFT: Latent Source Attentive Frequency Transformation for Conditioned Source Separation"
Conv-TasNet: Surpassing Ideal Time-Frequency Magnitude Masking for Speech Separation Pytorch's Implement
A PyTorch implementation of Conv-TasNet described in "TasNet: Surpassing Ideal Time-Frequency Masking for Speech Separation" with Permutation Invariant Training (PIT).
Code for the paper Hybrid Spectrogram and Waveform Source Separation
This repo contains the scripts, models, and required files for the Deep Noise Suppression (DNS) Challenge.
Dual-path RNN: efficient long sequence modeling for time-domain single-channel speech separation implemented by Pytorch
Pytorch implementation of various Attention Mechanism
FcaNet: Frequency Channel Attention Networks
Google Research
KUIELAB-MDX-Net got the 2nd place on the Leaderboard A and the 3rd place on the Leaderboard B in the MDX-Challenge ISMIR 2021
this repo is the codebase for ICCV19 paper "Recursive Visual Sound Separation Using Minus-Plus Net"
The Microsoft Scalable Noisy Speech Dataset (MS-SNSD) is a noisy speech dataset that can scale to arbitrary sizes depending on the number of speakers, noise types, and Speech to Noise Ratio (SNR) levels desired.
Starter kit for getting started in the Music Demixing Challenge.
Reinforcement learning with PyTorch, inspired by MorvanZhou, change the framework from Tensorflow to PyTorch
Semantic Segmentation in Pytorch
Python parser and tools for MUSDB18 Music Separation Dataset
Codebase for ECCV18 "The Sound of Pixels"
Speech emotion recognition implemented in Keras (LSTM, CNN, SVM, MLP) | 语音情感识别
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.