guokailiu Goto Github PK

2018-phm-data-challenge

2018 phm data challenge, ion mill machine RUL & fault diagnosis

ai_competitions

AI比赛相关

amazon-sagemaker-examples

Example notebooks that show how to apply machine learning, deep learning and reinforcement learning in Amazon SageMaker

autoencoder_classifier

Autoencoder model for rare event classification

autogan

[ICCV 2019] AutoGAN: Neural Architecture Search for Generative Adversarial Networks

awesome-automl

Curating a list of AutoML-related research, tools, projects and other resources

awesome-domain-adaptation

A collection of AWESOME things about domian adaptation

awesome-graph-neural-network-for-phm

Early access articles, Journals, and Conferences

awesome-imbalanced-learning

A curated list of awesome imbalanced learning papers, codes, frameworks, and libraries. | 类别不平衡学习：论文、代码、框架与库

awesome-latex-drawing

Drawing Bayesian networks, graphical models, and technical frameworks in LaTeX.

awesome-quantum-machine-learning

Here you can get all the Quantum Machine learning Basics, Algorithms ,Study Materials ,Projects and the descriptions of the projects around the web

awesome-streamerrc

Current .vimrc configs for various streamers on Twitch.

bagan

Keras implementation of Balancing GAN (BAGAN) applied to the MNIST example.

basic-rotating-machine-vibration-analysis

These codes realize data transformation and simple data processing for fault diagnosis.

bearing_detection_by_conv1d

bnt

Bayes Net Toolbox for Matlab

cbm_codes_open

This repository contains data and code that implement common machine learning algorithms for machinery condition monitoring task.

convnet-noisy

convolutional code for feed-forward noise model

cplusplus-programing

dcase2020_task2_baseline

DCASE2020 Challenge Task 2 baseline system

dcic-2019-hnt-2th-place

2019数字**创新大赛 混凝土泵车砼活塞故障预警 亚军

deep-learning-models

Keras code and weights files for popular deep learning models.

deeplearning_wot

deeplearningbook

This repository is used to publish source code of my deep learning book

deeplearntoolbox

Matlab/Octave toolbox for deep learning. Includes Deep Belief Nets, Stacked Autoencoders, Convolutional Neural Nets, Convolutional Autoencoders and vanilla Neural Nets. Each method has examples to get you started.

defect-glm

Defect-GLM：A Large Visual-Language Model for Industrial Defect Monitoring|首个用于工业缺陷监测的开源大规模视觉语言模型

defineyour2021

A python class defining your life 2021!

demogit

This is a demogit test.

deye

Keep an Eye on Defects Inspection.

dl-based-intelligent-diagnosis-benchmark

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