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Name: June-Woo Kim
Type: User
Company: Kyungpook National University
Bio: Applied Scientist Intern at Amazon | PhD student at Kyungpook National University | Ex-Naver Intern
Location: South Korea
Name: June-Woo Kim
Type: User
Company: Kyungpook National University
Bio: Applied Scientist Intern at Amazon | PhD student at Kyungpook National University | Ex-Naver Intern
Location: South Korea
End-to-end ASR/LM implementation with PyTorch
codes for neural network basic course
Library to build speech synthesis systems designed for easy and fast prototyping.
Unofficial Parallel WaveGAN (+ MelGAN & Multi-band MelGAN) with Pytorch
An implementation of Performer, a linear attention-based transformer, in Pytorch
PORORO: Platform Of neuRal mOdels for natuRal language prOcessing
Notebooks for "Python for Signal Processing" book
Deep Learning (with PyTorch)
pytorch utils
Clone a voice in 5 seconds to generate arbitrary speech in real-time
Reformer, the efficient Transformer, in Pytorch
Tips for releasing research code in Machine Learning (with official NeurIPS 2020 recommendations)
Self-Supervised Speech Pre-training and Representation Learning Toolkit.
modifying s3prl
s3prl modeification
speech to text with self-supervised learning based on wav2vec 2.0 framework
🔦 A Pytorch implementation of GoogleBrain's SpecAugment: A Simple Data Augmentation Method for Automatic Speech Recognition
Tensor2tensor experiment with SpecAugment
A Implementation of SpecAugment with Tensorflow & Pytorch, introduced by Google Brain
A PyTorch implementation of Speech Transformer, an End-to-End ASR with Transformer network on Mandarin Chinese.
A PyTorch-based Speech Toolkit
PyTorch implementation of "Supervised Contrastive Learning" (and SimCLR incidentally)
:zap: TensorFlowASR: Almost State-of-the-art Automatic Speech Recognition in Tensorflow 2. Supported languages that can use characters or subwords
A Pytorch Implementation of "Neural Speech Synthesis with Transformer Network"
🤖💬 Implementation of a Transformer based neural network for text to speech.
Some util things for using deep learning
Facebook AI Research's Automatic Speech Recognition Toolkit
A library for speech data augmentation in time-domain
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.