Beast code in Giters

Txiaoxiao's repositories

Battery data processing.

Language:PythonAGPL-3.022 1 1

Code for Nature energy manuscript

Language:Jupyter Notebook100

GPL-3.0100

Minimal, clean example of lstm neural network training in python, for learning purposes.

Language:Python1 10

an app to put video/audio/picture show on pc/tv

Language:Java100

Example of Multiple Multivariate Time Series Prediction with LSTM Recurrent Neural Networks in Python with Keras.

Language:PythonMIT1 10

Language:Python100

Everything about Transfer Learning and Domain Adaptation--迁移学习

Language:PythonMIT1 20

A curated resources of awesome NILM resources

000

Implementation of a model that predicts the SoH of batteries using the NASA Battery Dataset

Language:Jupyter Notebook010

Battery Monitor with charging/discharging history and time-to-end prediction

Language:PythonApache-2.0000

Liu Yang's implementation for Gibbs Sampling of LDA

Language:Java000

Prediction of battery state from charging/discharing profile

Language:Python010

Code for NILM experiments using Neural Networks. Uses Keras/Tensorflow and the NILMTK.

000

An archive for NILM papers with source code and other supplemental material

000

Code for the experiments in "Sliding Window Approach for Online Energy Disaggregation Using Artificial Neural Networks"

000