datagangchen

A-New-Convolutional-Neural-Network-Based-Data-Driven-Fault-Diagnosis-Method

TensorFlow implementation of a CNN based mechanical science paper

bearing-fault-diagnosis

domain adaption with LSGAN for bearing fault diagnosis

edward

A probabilistic programming language in TensorFlow. Deep generative models, variational inference.

Frequency-monitoring

Use signal temporal logic to describe the fault pattern

ImprovedCNNinFaultDiagnosis

Logic-Inference

Logic-Inference with GAN

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

CNN for mechanical fault diagnosis

TLNN

Interpretable Fault Diagnosis of Rolling Element Bearings with Temporal Logic Neural Network

Transfer-Learning-for-Fault-Diagnosis

This repository is for the transfer learning or domain adaptive with fault diagnosis.

Viberation-Signal-Interpretation

Interpreter the signal with frequency logic and applied to rolling element bearing diagnosis

datagangchen/TLNN

Interpretable Fault Diagnosis of Rolling Element Bearings with Temporal Logic Neural Network

datagangchen/Frequency-monitoring

Use signal temporal logic to describe the fault pattern

datagangchen/Logic-Inference

Logic-Inference with GAN

datagangchen/Viberation-Signal-Interpretation

Interpreter the signal with frequency logic and applied to rolling element bearing diagnosis

datagangchen/bearing-fault-diagnosis

domain adaption with LSGAN for bearing fault diagnosis

datagangchen/edward

A probabilistic programming language in TensorFlow. Deep generative models, variational inference.

datagangchen/ImprovedCNNinFaultDiagnosis

datagangchen/Transfer-Learning-for-Fault-Diagnosis

This repository is for the transfer learning or domain adaptive with fault diagnosis.

datagangchen/DeepSTL

Learning STL classifier with Deep reinforcement learning

datagangchen/A-Domain-Adaption-Transfer-Learning-Bearing-Fault-Diagnosis-Model-Based-on-Wide-Convolution-Deep-Neu

Inspired by the idea of transfer learning, a combined approach is proposed. In the method, Deep Convolutional Neural Networks with Wide First-layer Kernel is used to extract features to classify the health conditions.

datagangchen/action-detection

temporal action detection with SSN

datagangchen/akshare

AKShare is an elegant and simple financial data interface library for Python, built for human beings! 开源财经数据接口库

datagangchen/apollo

An open autonomous driving platform

datagangchen/bearing-fault-diagnosis-by-wdcnn

wdcnn model for bearing fault diagnosis

datagangchen/bearing-fault-diagnosis-cnn

Siamese network for bearing fault diagnosis

datagangchen/datagangchen.github.io

home

datagangchen/DL-based-Intelligent-Diagnosis-Benchmark

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

datagangchen/drake

Model-based design and verification for robotics.

datagangchen/flow

Computational framework for reinforcement learning in traffic control

datagangchen/Human-in-the-loop

datagangchen/Limited-Data-Rolling-Bearing-Fault-Diagnosis-with-Few-shot-Learning

This is the corresponding repository of paper Limited Data Rolling Bearing Fault Diagnosis with Few-shot Learning

datagangchen/OpendriveParser

datagangchen/orcidlink-LaTeX-command

LaTeX style file to add a macro for inserting a linked ORCiD logo

datagangchen/probability

Probabilistic reasoning and statistical analysis in TensorFlow

datagangchen/RLSTL

datagangchen/Safe-Reinforcement-Learning-Baselines

The repository is for safe reinforcement learning baselines.

datagangchen/self-driving-car

Udacity Self-Driving Car Engineer Nanodegree projects.

datagangchen/stengleinlab_org

The Stenglein Lab website, in rawer form, not yet processed by jekyll. Forked from bedford.io (https://github.com/blab/blotter)

datagangchen/stock

stock，股票系统。使用python进行开发。

datagangchen/yahoo_quote_download

This code downloads end of day stock quote from Yahoo finance.