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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

fairseq icon fairseq

Facebook AI Research Sequence-to-Sequence Toolkit written in Python.

free-project-course icon free-project-course

Free course for Resume, 整理和搜集网络免费的项目实战课程,包括 Java 项目实战,Python 项目实战,C++ 项目实战等

fscil icon fscil

Official repository for Few-Shot Class-Incremental Learning (FSCIL)

handson-ml2 icon handson-ml2

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

hifi-gan icon hifi-gan

HiFi-GAN: Generative Adversarial Networks for Efficient and High Fidelity Speech Synthesis

hts-audio-transformer icon hts-audio-transformer

The official code repo of "HTS-AT: A Hierarchical Token-Semantic Audio Transformer for Sound Classification and Detection"

icarl icon icarl

PyTorch Implementation of iCaRL

keyword-transformer icon keyword-transformer

Implementation of the paper "Keyword Transformer: A Self-Attention Model for Keyword Spotting"

kungfu icon kungfu

KungFu: Making Training in Distributed Machine Learning Adaptive

lada icon lada

Look-Ahead Data Acquisition via Augmentation for Deep Active Learning (NeurIPS 2021)

lip icon lip

Code and pretrained models for LIP: Local Importance-based Pooling (ICCV 19)

listen-attend-spell icon listen-attend-spell

A PyTorch implementation of Listen, Attend and Spell (LAS), an End-to-End ASR framework.

marl-papers icon marl-papers

Paper list of multi-agent reinforcement learning (MARL)

mcunet icon mcunet

[NeurIPS 2020] MCUNet: Tiny Deep Learning on IoT Devices; [NeurIPS 2021] MCUNetV2: Memory-Efficient Patch-based Inference for Tiny Deep Learning

megatron-lm icon megatron-lm

Ongoing research training transformer models at scale

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