Pinned Repositories
2018-phm-data-challenge
2018 phm data challenge, ion mill machine RUL & fault diagnosis
BearLSTM
with LSTM method to solve bearing fault diagnosis classification
CaseWesternReserveUniversityData
Deal-with-paderborn-bearing-data
This repository is used to share some works related to Paderborn Bearing Data
DeepLearning-500-questions
深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为18个章节，近30万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系scutjy2015@163.com 版权所有，违权必究 Tan 2018.06
Estimation-of-Remaining-Useful-Life-using-CNN
Convolutional Neural Network based regression approach for estimating machinery's remaining useful life
Hands-On-Transfer-Learning-with-Python
Hands On Transfer Learning with Python, published by Packt
PyEMD
Python implementation of Empirical Mode Decompoisition (EMD) method
ThinkDSP
Think DSP: Digital Signal Processing in Python, by Allen B. Downey.
wdcnn_bearning_fault_diagnosis
wdcnn轴承故障模型
AaronCosmos's Repositories
AaronCosmos/wdcnn_bearning_fault_diagnosis
wdcnn轴承故障模型
AaronCosmos/Deal-with-paderborn-bearing-data
This repository is used to share some works related to Paderborn Bearing Data
AaronCosmos/DeepLearning-500-questions
深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为18个章节，近30万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系scutjy2015@163.com 版权所有，违权必究 Tan 2018.06
AaronCosmos/Hands-On-Transfer-Learning-with-Python
Hands On Transfer Learning with Python, published by Packt
AaronCosmos/ThinkDSP
Think DSP: Digital Signal Processing in Python, by Allen B. Downey.
AaronCosmos/PyEMD
Python implementation of Empirical Mode Decompoisition (EMD) method
AaronCosmos/2018-phm-data-challenge
2018 phm data challenge, ion mill machine RUL & fault diagnosis
AaronCosmos/film
FiLM: Visual Reasoning with a General Conditioning Layer
AaronCosmos/RUL-Net
Deep learning approach for estimation of Remaining Useful Life (RUL) of an engine
AaronCosmos/TensorFLow-Learning
B站上炼数成金的公开课笔记
AaronCosmos/vae
a simple vae and cvae from keras
AaronCosmos/Viberation-signal-processing
AaronCosmos/awesome-programmers
A list of history's greatest software engineers and tech pioneers
AaronCosmos/DL-tenserflow
Tensorflow realizes deeplearning
AaronCosmos/finetune_classification
使用 TensorFlow 进行 finetuning 的通用分类模型
AaronCosmos/hands-on-ml-zh
:book: [译] Sklearn 与 TensorFlow 机器学习实用指南
AaronCosmos/keras
Deep Learning for humans
AaronCosmos/kudu
Mirror of Apache Kudu
AaronCosmos/magenta
Magenta: Music and Art Generation with Machine Intelligence
AaronCosmos/MHMS_DEEPLEARNING
AaronCosmos/MMdnn
MMdnn is a set of tools to help users inter-operate among different deep learning frameworks. E.g. model conversion and visualization. Convert models between Caffe, Keras, MXNet, Tensorflow, CNTK, PyTorch Onnx and CoreML.
AaronCosmos/models
Models and examples built with TensorFlow
AaronCosmos/nanjing_AI_competition_2018
2018
AaronCosmos/phm-ieee-2012-data-challenge-dataset
Dataset that was used during the PHM IEEE 2012 Data Challenge, built by the FEMTO-ST Institute
AaronCosmos/Speech-Separation
Python scripts exploring sound separation using deep clustering
AaronCosmos/stnbhwd
Modules for spatial transformer networks (BHWD layout)
AaronCosmos/tensorflow
Computation using data flow graphs for scalable machine learning
AaronCosmos/TensorFlow-Examples
TensorFlow Tutorial and Examples for Beginners with Latest APIs
AaronCosmos/transferlearning
Everything about Transfer Learning and Domain Adaptation--迁移学习
AaronCosmos/xgboost
Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Flink and DataFlow