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Hi there, I'm Yang! 👋

Welcome to my GitHub. I'm Yang Xiao(肖扬) or you can call me Austin (ChatGPT gave me this English name). I research speech and audio for the Fortemedia. Before that I graduated as the Master of Artificial Intelligence at Nanyang Technological University. My research lies at building efficient, robust, data-centric machine learning system. At this moment, I mainly work in the data-centric speech system that are continual, real-time and efficient.

Austin Xiao's Projects

otk icon otk

A Pytorch implementation of the optimal transport kernel embedding

pb_sed icon pb_sed

Paderborn Sound Event Detection

pengi icon pengi

An Audio Language model for Audio Tasks

popex icon popex

This project will realize experiments about BranchyNet partitioning using pytorch framework

psla icon psla

Code for the TASLP paper "PSLA: Improving Audio Tagging With Pretraining, Sampling, Labeling, and Aggregation".

pumpkin-book icon pumpkin-book

《机器学习》(西瓜书)公式推导解析,在线阅读地址:https://datawhalechina.github.io/pumpkin-book

pycil icon pycil

PyCIL: A Python Toolbox for Class-Incremental Learning

pycontinual icon pycontinual

PyContinual (An Easy and Extendible Framework for Continual Learning)

pytorch icon pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

pytorch-gan icon pytorch-gan

PyTorch implementations of Generative Adversarial Networks.

pytorch-lightning icon pytorch-lightning

The lightweight PyTorch wrapper for high-performance AI research. Scale your models, not the boilerplate.

pytorch-project-template icon pytorch-project-template

A scalable template for PyTorch projects, with examples in Image Segmentation, Object classification, GANs and Reinforcement Learning.

quantorch icon quantorch

PyTorch implementation of "Quantization and Training of Neural Networks for Efficient Integer-Arithmetic-Only Inference"

ratemysupervisor icon ratemysupervisor

永久免费开源的导师评价数据、数据爬虫、无需编程基础的展示网页以及新信息补充平台

ray icon ray

An open source framework that provides a simple, universal API for building distributed applications. Ray is packaged with RLlib, a scalable reinforcement learning library, and Tune, a scalable hyperparameter tuning library.

ray-cl-demo icon ray-cl-demo

A demo to show how to use ray tune as a trainer to provide ray serve with the continual learning power

readme icon readme

README文件语法解读,即Github Flavored Markdown语法介绍

s3prl icon s3prl

Self-Supervised Speech Pre-training and Representation Learning Toolkit.

sdbi icon sdbi

Simple Dynamic Batching Inference

sdc-il icon sdc-il

Semantic Drift Compensation for Class-Incremental Learning (CVPR2020)

sed_eval icon sed_eval

Evaluation toolbox for Sound Event Detection

seld-dcase2022 icon seld-dcase2022

Baseline method for sound event localization task of DCASE 2022 challenge

seld-dcase2023 icon seld-dcase2023

Baseline method for sound event localization task of DCASE 2023 challenge

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