Hessen525's repositories

multi-nilm

Multi-NILM: Multi Label Non Intrusive Load Monitoring

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attention-learn-to-route

Attention based model for learning to solve different routing problems

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books

常用书籍

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books-1

电子书(计算机类,经济学,数学), 格式,pdf、mobi、epub

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comparability

Supplemental material on comparability and performance evaluation in NILM

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DRL

Deep Reinforcement Learning

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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.

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github-slideshow

A robot powered training repository :robot:

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KP-NILM

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

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LowFreq_DNN-NILM

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

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neural-disaggregator

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

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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.

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nilm-papers-with-code

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

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nilm-resources-

A list of repos with implemented energy disaggregation algorithms

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nilm_fcn

Fully convolutional neural networks for non-intrusive load monitoring

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QuantumRouting-python

for quantum routing experiment

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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

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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.

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seq2subseq

Seq2subseq method for NILM

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SimQN

A discrete time scheduler designed for Quantum Network

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TPNILM

Notebook for Temporal Pooling NILM

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VRP-RL

Reinforcement Learning for Solving the Vehicle Routing Problem

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