mizushan's Stars
gdewael/bio-attention
Simple implementations of attention modules adapted for the biological data domain.
dairui01/PDAN
[WACV2021] Implementation of Pyramid Dilated Attention Network (PDAN)
lucidrains/local-attention
An implementation of local windowed attention for language modeling
microsoft/Focal-Transformer
[NeurIPS 2021 Spotlight] Official code for "Focal Self-attention for Local-Global Interactions in Vision Transformers"
zhouhaoyi/Informer2020
The GitHub repository for the paper "Informer" accepted by AAAI 2021.
microsoft/Swin-Transformer
This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows".
allenai/longformer
Longformer: The Long-Document Transformer
huggingface/transformers
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
jaywonchung/BERT4Rec-VAE-Pytorch
Pytorch implementation of BERT4Rec and Netflix VAE.
codertimo/BERT-pytorch
Google AI 2018 BERT pytorch implementation
DLZRMR/seq2subseq
Seq2subseq method for NILM
pbloem/former
Simple transformer implementation from scratch in pytorch.
Yueeeeeeee/BERT4NILM
[NILM@SenSys 2020] PyTorch Implementation of BERT4NILM: A Bidirectional Transformer Model for Non-Intrusive Load Monitoring
MingjunZhong/transferNILM
Transfer Learning for Non-Intrusive Load Monitoring
MingjunZhong/NeuralNetNilm
Sequence-to-point learning for non-intrusive load monitoring (energy disaggregation)
MingjunZhong/seq2point-nilm
Sequence-to-point learning for non-intrusive load monitoring
mukkla/LowFreq_DNN-NILM
Overview of research papers with focus on low frequency NILM employing DNNs
vyokky/AAAI-NILM
picagrad/WaveNILM
WaveNILM as published at ICASSP 2019
OdysseasKr/neural-disaggregator
Code for NILM experiments using Neural Networks. Uses Keras/Tensorflow and the NILMTK.
ch-shin/awesome-nilm
A curated resources of awesome NILM resources
terryum/awesome-deep-learning-papers
The most cited deep learning papers
maechler/nnilm
A reimplementation of Jack Kelly's rectangles neural network architecture based on Keras and the NILMToolkit.
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.
klemenjak/nilm-papers-with-code
An archive for NILM papers with source code and other supplemental material
JackKelly/neuralnilm
Deep Neural Networks Applied to Energy Disaggregation
JackKelly/neuralnilm_prototype
aladdinpersson/Machine-Learning-Collection
A resource for learning about Machine learning & Deep Learning
nilmtk/nilmtk
Non-Intrusive Load Monitoring Toolkit (nilmtk)