Pinned Repositories
beam-forming
beamforming
Matlab code that supports beam-forming arrays
Dive-into-DL-PyTorch
本项目将《动手学深度学习》（Dive into Deep Learning）原书中的MXNet代码实现改为PyTorch实现。
GitHub-Chinese-Top-Charts
:cn: GitHub中文排行榜，帮助你发现高分优秀中文项目、更高效地吸收国人的优秀经验成果；榜单每周更新一次，敬请关注！（最近更新于10月9日，上班快乐 :tada:）
OMLSA-speech-enhancement
Matlab implementation of the paper Noise Spectrum Estimation in Adverse Environments: Improved Minima Controlled Recursive Averaging
Python-Machine-Learning-Cookbook
Code files for Python-Machine-Learning-Cookbook
PyTorch-Tutorial
Build your neural network easy and fast
sednn
deep learning based speech enhancement using keras python, make it easy to use
segan
Speech Enhancement Generative Adversarial Network in TensorFlow
Theoretical-Proof-of-Neural-Network-Model-and-Implementation-Based-on-Numpy
This resource implements a deep neural network through Numpy, and is equipped with easy-to-understand theoretical derivation, mainly for the in-depth understanding of neural networks. 神经网络模型的理论证明与基于Numpy的实现。
Xuzezheng's Repositories
Xuzezheng/beam-forming
Xuzezheng/beamforming
Matlab code that supports beam-forming arrays
Xuzezheng/Dive-into-DL-PyTorch
本项目将《动手学深度学习》（Dive into Deep Learning）原书中的MXNet代码实现改为PyTorch实现。
Xuzezheng/GitHub-Chinese-Top-Charts
:cn: GitHub中文排行榜，帮助你发现高分优秀中文项目、更高效地吸收国人的优秀经验成果；榜单每周更新一次，敬请关注！（最近更新于10月9日，上班快乐 :tada:）
Xuzezheng/OMLSA-speech-enhancement
Matlab implementation of the paper Noise Spectrum Estimation in Adverse Environments: Improved Minima Controlled Recursive Averaging
Xuzezheng/Python-Machine-Learning-Cookbook
Code files for Python-Machine-Learning-Cookbook
Xuzezheng/PyTorch-Tutorial
Build your neural network easy and fast
Xuzezheng/sednn
deep learning based speech enhancement using keras python, make it easy to use
Xuzezheng/segan
Speech Enhancement Generative Adversarial Network in TensorFlow
Xuzezheng/Theoretical-Proof-of-Neural-Network-Model-and-Implementation-Based-on-Numpy
This resource implements a deep neural network through Numpy, and is equipped with easy-to-understand theoretical derivation, mainly for the in-depth understanding of neural networks. 神经网络模型的理论证明与基于Numpy的实现。