happlydata's repositories

CppCon2019

Slides and other materials from CppCon 2019

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java-books-collections

:books:Java编程书籍收集分享。Java programming books collection to share.:rocket:

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rnnoise

Recurrent neural network for audio noise reduction

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pytorch_musicnet

PyTorch DataSet and Jupyter demos for MusicNet

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forger-win32-tutorial

Source code for theForger's Win32 API Tutorial.

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tensorflow-GANs

各类GAN综合在一起,借鉴了hwalsuklee大神的

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conv_arithmetic

A technical report on convolution arithmetic in the context of deep learning

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Acoustic-feedback-detection

Implementation of an algorithm to detect acoustic feedback from a audio file

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webrtc

Mirror of WebRTC, update everyday. (https://webrtc.googlesource.com/src)

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TasNet

A PyTorch implementation of Time-domain Audio Separation Network (TasNet) with Permutation Invariant Training (PIT) for speech separation.

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deep_complex_networks

Implementation related to the Deep Complex Networks

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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,近30万字。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scutjy2015@163.com 版权所有,违权必究 Tan 2018.06

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FACT

Feedback Analysis and Cancellation Toolkit

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Speech-processing

howling suppression, 啸叫抑制, 声反馈抑制

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Tacotron-pytorch

Pytorch implementation of Tacotron

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Dual_Channel_Beamformer_and_Postfilter

This project gives an example of dual microphone speech enhancement based on GSC beamformer and multiple channel postfilter.

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interview

📚 C/C++面试知识总结

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books

技术书籍

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py_bank

An audio filter bank implementation in Python, contains ERB and linear filter banks

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ColorTransformation

this is my first project

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the-gan-zoo

A list of all named GANs!

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ML1024

Everyday Machine Learning.An essay,paper or everything about Machine Learning.

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MCMT

this is my first project!

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tracking-by-detection

Multiple object tracking (MOT) algorithm implemented in C++

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hungarian-algorithm-cpp

A C++ wrapper for a hungarian algorithm implementation

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pva-faster-rcnn

Demo code for PVANet

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deep_sort

Simple Online Realtime Tracking with a Deep Association Metric

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