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2018-phm-data-challenge

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

adacos-tensorflow

Tensorflow implementation of "AdaCos: Adaptively Scaling Cosine Logits for Effectively Learning Deep Face Representations" (CVPR 2019)

alexa_voice_discovery_response

Discovery Response File

alibaba_ml_challenge

Bearing Remaining Useful Life (RUL) Estimation

all-you-need

atten

amda

This is an implementation of single source multiple target domain adaptation for fault diagnosis

arcface-mnist

try Metric Learning with MNIST @pytorch

awesome-cbir-papers

📝Awesome and classical image retrieval papers

awesome_deep_learning_interpretability

深度学习近年来关于神经网络模型解释性的相关高引用/顶会论文(附带代码)

bearing-fault-diagnosis

domain adaption with LSGAN for bearing fault diagnosis

bearing-fault-diagnosis-cnn

Siamese network for bearing fault diagnosis

bearing_rul_predict

bearlstm

with LSTM method to solve bearing fault diagnosis classification

circle-loss

Tensorflow2 implementation of CircleLoss. Support class-level, sparse class-level, pair-wise labels

circle-loss-1

tf2.0 implementation of circle loss

circleloss_keras

Naive implementation of Circle Loss, with Keras(tf backend)

condition-monitoring-system-for-gas-turbine

A condition monitoring system for gas turbine, including refenrece value, anomaly detection, and fault diagnosis.

convolutional-prototype-learning

An implementation (TensorFlow) of CPL and GCPL appeared in CVPR2018 paper: "Robust Classification with Convolutional Prototype Learning"

cs-notes

:books: 技术面试必备基础知识、Leetcode、计算机操作系统、计算机网络、系统设计、Java、Python、C++

cs231n-spring-2018

My solution to the assignments of CS231n Spring 2018 from Stanford University

cwru

cyclegan_1dcnn

Tensorflow implementation of a CycleGAN with a 1D Convolutional Neural Network and Gated units with options for the residual connections, dilations and a PostNet.

dcgan-for-fault-diagnosis

deep-image-retrieval

End-to-end Learning of Deep Visual Representations for Image Retrieval.

deep-learning-fault-diagnosis

deep-learning-in-phm

Deep learning in PHM，Deep learning in fault diagnosis，Deep learning in remaining useful life prediction

deep-learning-specialization

All the assignments of Coursera's Deep Learning Specialization that created by Andrew Ng.

deep-sensor

A deep learning framework for fault diagnositcs with PyTorch

deepfacelab

DeepFaceLab is the leading software for creating deepfakes.

deeplearning.ai

deeplearning.ai , By Andrew Ng, All slide and notebook + code and some material.