DuoCaiXie

DuoCaiXie's Stars

• huggingface/transformers

  🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

  Language:Python137k1.1k16.4k27.5k

• dair-ai/ml-visuals

  🎨 ML Visuals contains figures and templates which you can reuse and customize to improve your scientific writing.

  14k116501.4k

• nilmtk/nilmtk

  Non-Intrusive Load Monitoring Toolkit (nilmtk)

  Language:Python84866870465

• dxc19951001/Study_TF2.0

  2091089

• Clov614/SteamHostSync

  自动同步hosts

  Language:Go1724313

• JackKelly/neuralnilm

  Deep Neural Networks Applied to Energy Disaggregation

  Language:Python15318980

• OdysseasKr/neural-disaggregator

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

  Language:Jupyter Notebook142103758

• nilmtk/nilmtk-contrib

  Language:Python119106860

• msun1996/Microgrid

  微电网能量管理系统

  Language:Python894246

• smakonin/SparseNILM

  The super-state hidden Markov model disaggregator that uses a sparse Viterbi algorithm for decoding. This project contains the source code that was use for my IEEE Transactions on Smart Grid journal paper.

  Language:Python8710042

• Yueeeeeeee/BERT4NILM

  [NILM@SenSys 2020] PyTorch Implementation of BERT4NILM: A Bidirectional Transformer Model for Non-Intrusive Load Monitoring

  Language:Python682520

• Ming-er/NeuralNILM_Pytorch

  Language:Python622813

• ZhangRaymond/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.

  Language:Python47457

• JackBarber98/pruned-nilm

  This repo provides four weight pruning algorithms for use in sequence-to-point energy disaggregation as well as three alternative neural network architectures.

  Language:Python395113

• UCA-Datalab/nilm-thresholding

  :warning: This repository is no longer actively maintained. It previously dealt with Non-Intrusive Load Monitoring (NILM), focusing on predicting household appliance status from aggregated power load data. We explored different thresholding methods and evaluated deep learning models for regression and classification tasks.

  Language:Python372116

• BHafsa/deep-nilmtk-v1

  Deep-NILMtk is an open source package designed specifically for deep models applied to solve NILM. It implements the general NILM pipeline independently of the deep learning backend. In its current version the toolkit considers two of the most popular deep learning pipelines. The training and testing phases are fully compatible with NILMtk. Several

  Language:Jupyter Notebook27437

• mukkla/LowFreq_DNN-NILM

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

  23414

• Awadelrahman/GAN-NILM

  GAN-NILM: Using Generative Adversarial Networks to perform Non-Intrusive Load Monitoring (aka load disaggregation)

  Language:Jupyter Notebook20116

• lmssdd/TPNILM

  Notebook for Temporal Pooling NILM

  Language:Jupyter Notebook20125

• pascme05/BaseNILM

  BaseNILM is a tool for solving the energy dissagregation problem. It aims to give a baseline systems for both new and experience researchers within the area of energy disaggregation and Non-Intrusive Load Monitoring.

  Language:Python19106

• StellarL/CDKG

  Language:HTML193

• xieck13/nilmtk-dl

  非侵入式负荷检测，一个很水的毕设

  Language:Jupyter Notebook19211

• BHafsa/image-nilm

  Language:Jupyter Notebook11225

• linfengYang/BitcnNILM

  Language:Python11224

• Zhao-Jichao/CNN_ImageSize_Calculator_Win

  Language:C#10100

• antoniosudoso/nilm-bqp

  Mixed-Integer Nonlinear Programming for NILM

  Language:Python9103

• FedGBM/FedGBM-NILM

  Language:Python8202

• 1365537035/gpd

  供配电

  Language:CSS1

• katienka/GoogleScholarSorting

  Language:Jupyter Notebook1

• liuxiaojian1992/TFM_NILMTK-public

  1102