chenzhengkun7 Goto Github PK

09_turbofan_rul

Remaining useful life prediction for turbofan engine data (C-MAPSS)

advanced-deep-learning-with-keras

Advanced Deep Learning with Keras, published by Packt

adversarialattack-phm

aidc-2018-timeseries

Deep learning for time-series data

alibaba_ml_challenge

Bearing Remaining Useful Life (RUL) Estimation

ann-in-condition-based-predictive-maintenance

ant-learn-pandas

pandas学习课程代码仓库

autoencoder-etc

AE,CAE,DAE,SAE,VAE...

bazel

a fast, scalable, multi-language and extensible build system

bearing_rul_predict

casewesternreserveuniversitydata

cnn-for-bearing-fault-diagnosis

CNN applied to bearing signals for analysis

conv_arithmetic

卷积GIF图-A technical report on convolution arithmetic in the context of deep learning

convrnn_for_rul_estimation

Code used in Thesis "Convolutional Recurrent Neural Networks for Remaining Useful Life Prediction in Mechanical Systems".

convtransformertimeseries

Convolutional Transformer for time series

deep-learning-in-phm

2020最新：Deep learning in PHM，Deep learning in fault diagnosis，Deep learning in remaining useful life prediction

deep-learning-papers-translation

深度学习论文翻译，包括分类论文，检测论文等

deep-learning-with-tensorflow-book

深度学习入门开源书，基于TensorFlow 2.0案例实战。Open source Deep Learning book, based on TensorFlow 2.0 framework.

deepar_tensorflow

Tensorflow implementation of Amazon DeepAR

deeplearningtutorial

深度学习代码

difftaichi

10 differentiable physical simulators built with Taichi differentiable programming (DiffTaichi, ICLR 2020)

dissertation

This repository contains notebooks outlining my dissertation.

dl-based-intelligent-diagnosis-benchmark

Source codes for the paper "Deep Learning Algorithms for Rotating Machinery Intelligent Diagnosis: An Open Source Benchmark Study"

dlvm

docs

TensorFlow documentation

eat_tensorflow2_in_30_days

Tensorflow2.0 🍎🍊 is delicious, just eat it! 😋😋

emg_article

Deep Autoencoder for extract features for EMG signals

ensemble-time-series

Ensemble Machine Learning for Time Series: Ensemble of Deep Recurrent Neural Networks and Random forest using a Stacking (averaging) layer and trained using Genetic Algorithms

ensembling-ml

Ensembling Machine learning algorithms using Genetic Algorithms.

fashion-mnist

A MNIST-like fashion product database. Benchmark :point_right: