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aaai-nilm

advancedalgorithms

attention-learn-to-route

Attention based model for learning to solve different routing problems

books

常用书籍

books-1

电子书(计算机类，经济学，数学), 格式，pdf、mobi、epub

buildsys2019-paper-notebooks

comparability

Supplemental material on comparability and performance evaluation in NILM

deeplearning

drl

Deep Reinforcement Learning

fucking-algorithm

刷算法全靠套路，认准 labuladong 就够了！English version supported! Crack LeetCode, not only how, but also why.

github-slideshow

A robot powered training repository :robot:

kp-nilm

Supervised NILM using multiple-choice knapsack problem (MCKP).

llexcel

lowfreq_dnn-nilm

Overview of research papers with focus on low frequency NILM employing DNNs

multi-nilm

Multi-NILM: Multi Label Non Intrusive Load Monitoring

neural-disaggregator

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

neural-nilm

An Non-Intrusive Load Disaggregation method based on Neural Network. A sequence-to-sequence model and a sequence-to-point model are proposed.

nilm-papers-with-code

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

nilm-resources-

A list of repos with implemented energy disaggregation algorithms

nilm-stacking

nilm_fcn

Fully convolutional neural networks for non-intrusive load monitoring

nilmtk-contrib

openalpr

Automatic License Plate Recognition library

platetrack-mobileapp

this is the android studio,mobile app part of our project

quantumrouting-python

for quantum routing experiment

reinforcement-learning-approach-to-packet-routing-on-a-dynamic-network

Packet routing simulation on a dynamic network using Shortest Path Routing, Q-learning, and Deep Q-learning

routing-via-multi-commodity-flow

We explore the problem of routing in a quantum internet using multi-commodity flow. In this project, we assume that all of the repeaters are based on atomic ensemble and linear optics. Moreover, we assume that any node in the network can act as an end node as well as a repeater node.

segnet_unet_nilm

seq2subseq

Seq2subseq method for NILM