mizushan

mizushan's Stars

• gdewael/bio-attention

  Simple implementations of attention modules adapted for the biological data domain.

  Language:Python133

• dairui01/PDAN

  [WACV2021] Implementation of Pyramid Dilated Attention Network (PDAN)

  Language:Python183

• lucidrains/local-attention

  An implementation of local windowed attention for language modeling

  Language:Python36139

• microsoft/Focal-Transformer

  [NeurIPS 2021 Spotlight] Official code for "Focal Self-attention for Local-Global Interactions in Vision Transformers"

  Language:Python54359

• zhouhaoyi/Informer2020

  The GitHub repository for the paper "Informer" accepted by AAAI 2021.

  Language:Python5.2k1.1k

• microsoft/Swin-Transformer

  This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows".

  Language:Python13.5k2k

• allenai/longformer

  Longformer: The Long-Document Transformer

  Language:Python2k271

• huggingface/transformers

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

  Language:Python131k26.1k

• jaywonchung/BERT4Rec-VAE-Pytorch

  Pytorch implementation of BERT4Rec and Netflix VAE.

  Language:Python34682

• codertimo/BERT-pytorch

  Google AI 2018 BERT pytorch implementation

  Language:Python6.1k1.3k

• DLZRMR/seq2subseq

  Seq2subseq method for NILM

  Language:Python4112

• pbloem/former

  Simple transformer implementation from scratch in pytorch.

  Language:Python1k170

• Yueeeeeeee/BERT4NILM

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

  Language:Python6019

• MingjunZhong/transferNILM

  Transfer Learning for Non-Intrusive Load Monitoring

  Language:Python11344

• MingjunZhong/NeuralNetNilm

  Sequence-to-point learning for non-intrusive load monitoring (energy disaggregation)

  Language:Python7121

• MingjunZhong/seq2point-nilm

  Sequence-to-point learning for non-intrusive load monitoring

  Language:Python9733

• mukkla/LowFreq_DNN-NILM

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

  234

• vyokky/AAAI-NILM

  Language:Python105

• picagrad/WaveNILM

  WaveNILM as published at ICASSP 2019

  Language:Python3312

• OdysseasKr/neural-disaggregator

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

  Language:Jupyter Notebook13858

• ch-shin/awesome-nilm

  A curated resources of awesome NILM resources

  18444

• terryum/awesome-deep-learning-papers

  The most cited deep learning papers

  Language:TeX25.3k4.5k

• maechler/nnilm

  A reimplementation of Jack Kelly's rectangles neural network architecture based on Keras and the NILMToolkit.

  Language:Python365

• 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:Python487

• klemenjak/nilm-papers-with-code

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

  12825

• JackKelly/neuralnilm

  Deep Neural Networks Applied to Energy Disaggregation

  Language:Python15279

• JackKelly/neuralnilm_prototype

  Language:Jupyter Notebook5022

• aladdinpersson/Machine-Learning-Collection

  A resource for learning about Machine learning & Deep Learning

  Language:Python7.4k2.7k

• nilmtk/nilmtk

  Non-Intrusive Load Monitoring Toolkit (nilmtk)

  Language:Python822459