Cuixiaolong (hustcxl)

hustcxl

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Company:HuaZhong University of Science and Technology

Location:wuhan.hust

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Cuixiaolong's starred repositories

Deep-Learning-Book-Chapter-Summaries

Attempting to make the Deep Learning Book easier to understand.

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nndl.github.io

《神经网络与深度学习》 邱锡鹏著 Neural Network and Deep Learning

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weekly

科技爱好者周刊,每周五发布

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chinese-poetry

The most comprehensive database of Chinese poetry 🧶最全中华古诗词数据库, 唐宋两朝近一万四千古诗人, 接近5.5万首唐诗加26万宋诗. 两宋时期1564位词人,21050首词。

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the-art-of-command-line

Master the command line, in one page

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industry-machine-learning

A curated list of applied machine learning and data science notebooks and libraries across different industries (by @firmai)

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keras-onnx

Convert tf.keras/Keras models to ONNX

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TensorFlow-Examples

TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)

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deep-learning-with-keras-notebooks

Jupyter notebooks for using & learning Keras

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onnx

Open standard for machine learning interoperability

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Fault_diagnosis_ballbearing_wavelet

Bearing fault diagnosis is important in condition monitoring of any rotating machine. Early fault detection in machinery can save millions of dollars in emergency maintenance cost. Different techniques are used for fault analysis such as short time Fourier transforms (STFT), Wavelet analysis (WA), cepstrum analysis, Model based analysis, etc. we have doing detecting bearing faults using FFT and by using Wavelet analysis more specifically wavelet Analysis up to two levels of approximations and detail components. The analysis is carried out offline in MATLAB. Diagnosing the faults before in hand can save the millions of dollars of industry and can save the time as well. It has been found that Condition monitoring of rolling element bearings has enabled cost saving of over 50% as compared with the old traditional methods. The most common method of monitoring the condition of rolling element bearing is by using vibration signal analysis. Measure the vibrations of machine recorded by velocity

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FullSpectrum_CNN_Tensorflow

Base of FullSpectrum CNN ,realized with Tensorflow

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spyder

Official repository for Spyder - The Scientific Python Development Environment

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Deep-Learning-21-Examples

《21个项目玩转深度学习———基于TensorFlow的实践详解》配套代码

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CXL_Notes

Study Notes

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pydpc

Clustering by fast search and find of density peaks

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ltfat

Official development repository of the Large Time Frequency Analysis Toolbox

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covarep

A Cooperative Voice Analysis Repository for Speech Technologies

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Ctftbx

Ctftbx: Time-Frequency toolbox for MatLab in C

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PyDMD

Python Dynamic Mode Decomposition

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Mode-retrieval-downsampled-STFT

The repository contains the programs of the paper entitled "Retrieval of the Modes of Multicomponent Signals from Downsampled Short-Time Fourier Transform"

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STFT_MCS_DENOISING

Programs related with multicomponent signal denoising based on STFT

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FIF

Fast Iterative Filtering

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htFIF-dFIF

Hard Thresholding Fast Iterative Filtering (htFIF) and Direct Fast Iterative Filtering (dFIF)

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MatlabToolbox

General purpose Matlab toolbox

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Mechanical-Fault-Diagnosis-Based-on-Deep-Learning

CNN for mechanical fault diagnosis

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RUL-Net

Deep learning approach for estimation of Remaining Useful Life (RUL) of an engine

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Tensorflow

Tensorflow相关教程

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Tensorflow-Deep-Neural-Networks

用Tensorflow实现的深度神经网络。

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