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Hi 👋, I'm xkwang

A passionate cpp developer from China

  • 🔭 I’m currently working on Nothing

  • 🌱 I’m currently learning CPP, Linux

  • 👯 I’m looking to collaborate on CPP

  • 🤝 I’m looking for help with anything

  • 📝 I regularly write articles on http://xkwang.cn

  • 💬 Ask me about anything

  • 📫 How to reach me [email protected]

Connect with me:

http://xkwang.cn

Languages and Tools:

cplusplus flask git kafka linux mysql nginx python pytorch redis tensorflow

 xk-wang

xk-wang

Xianke Wang's Projects

althttpd-mirror icon althttpd-mirror

Mirror of althttpd repo, the small, simple HTTP server from sqlite https://sqlite.org/althttpd/doc/trunk/althttpd.md

asap-dataset icon asap-dataset

A dataset of 222 digital musical scores aligned with 1068 performances (more than 92 hours) of Western classical piano music.

ast icon ast

Code for the Interspeech 2021 paper "AST: Audio Spectrogram Transformer".

awesome-audio-visual icon awesome-audio-visual

A curated list of different papers and datasets in various areas of audio-visual processing

bilibili-plus icon bilibili-plus

课程视频、PPT和源代码:侯捷C++系列;台大郭彦甫MATLAB

book icon book

a repository for sharing book

comment icon comment

This is a repository for the comments of my blog

constant-q-cpp icon constant-q-cpp

A C++ library and Vamp plugin implementing the Constant-Q transform of a time-domain signal.

cqt-odmodel icon cqt-odmodel

CPP实现的CQT(与Python librosa结果相近)和一个唱歌onset detection模型

crnn icon crnn

Convolutional Recurrent Neural Network (CRNN) for image-based sequence recognition.

cs-notes icon cs-notes

:books: 技术面试必备基础知识、Leetcode、计算机操作系统、计算机网络、系统设计

cs_offer icon cs_offer

后台开发基础知识总结(春招/秋招)

deeplearning-500-questions icon deeplearning-500-questions

深度学习500问,以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述,以帮助自己及有需要的读者。 全书分为18个章节,50余万字。由于水平有限,书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作,联系[email protected] 版权所有,违权必究 Tan 2018.06

deepspeech icon deepspeech

DeepSpeech is an open source embedded (offline, on-device) speech-to-text engine which can run in real time on devices ranging from a Raspberry Pi 4 to high power GPU servers.

e6870 icon e6870

My solution to course E6870 (Speech Recognition) of Columbia University.

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