Cuixiaolong's starred repositories
Deep-Learning-Book-Chapter-Summaries
Attempting to make the Deep Learning Book easier to understand.
nndl.github.io
《神经网络与深度学习》 邱锡鹏著 Neural Network and Deep Learning
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。
the-art-of-command-line
Master the command line, in one page
industry-machine-learning
A curated list of applied machine learning and data science notebooks and libraries across different industries (by @firmai)
keras-onnx
Convert tf.keras/Keras models to ONNX
TensorFlow-Examples
TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)
deep-learning-with-keras-notebooks
Jupyter notebooks for using & learning Keras
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
FullSpectrum_CNN_Tensorflow
Base of FullSpectrum CNN ,realized with Tensorflow
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
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"
STFT_MCS_DENOISING
Programs related with multicomponent signal denoising based on STFT
htFIF-dFIF
Hard Thresholding Fast Iterative Filtering (htFIF) and Direct Fast Iterative Filtering (dFIF)
MatlabToolbox
General purpose Matlab toolbox
Mechanical-Fault-Diagnosis-Based-on-Deep-Learning
CNN for mechanical fault diagnosis
Tensorflow
Tensorflow相关教程
Tensorflow-Deep-Neural-Networks
用Tensorflow实现的深度神经网络。