Txiaoxiao's repositories
LSTM-Neural-Network-for-Time-Series-Prediction
Battery data processing.
data-driven-prediction-of-battery-cycle-life-before-capacity-degradation
Code for Nature energy manuscript
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,50余万字。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
MyDLNAApplicationOne
an app to put video/audio/picture show on pc/tv
Predictive-Maintenance-using-LSTM
Example of Multiple Multivariate Time Series Prediction with LSTM Recurrent Neural Networks in Python with Keras.
stock_predict_with_LSTM
stock_predict_with_LSTM
transferlearning
Everything about Transfer Learning and Domain Adaptation--迁移学习
awesome-nilm
A curated resources of awesome NILM resources
BatteryDatasetImplementation
Implementation of a model that predicts the SoH of batteries using the NASA Battery Dataset
batterym
Battery Monitor with charging/discharging history and time-to-end prediction
LDAGibbsSampling
Liu Yang's implementation for Gibbs Sampling of LDA
Nasa_Battery_Project
Prediction of battery state from charging/discharing profile
neural-disaggregator
Code for NILM experiments using Neural Networks. Uses Keras/Tensorflow and the NILMTK.
nilm-papers-with-code
An archive for NILM papers with source code and other supplemental material
online-nilm
Code for the experiments in "Sliding Window Approach for Online Energy Disaggregation Using Artificial Neural Networks"