基于SIFT特征提取的图像拼接

2022华为软件精英挑战赛

CNN+BiLSTM+Attention Multivariate Time Series Prediction implemented by Keras

Python for《Deep Learning》，该书为《深度学习》(花书) 数学推导、原理剖析与源码级别代码实现

Data used by RNN-DAE for NILM

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

Data augmentation using synthetic data for time series classification with deep residual networks

Attempting NILM using a CNN

⚠️ This repository is no longer actively maintained.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…

A new CNN architecture to perform detection, feature extraction, and multi-label classification of loads, in non-intrusive load monitoring (NILM) approaches, with a single model for high-frequency …

Non-Intrusive Load Monitoring based on VAE model

Overview of NILM works employing Deep Neural Networks on low frequency data

Adaptive Recurrence Graph for Appliance classification in NILM.

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

Transfer Learning for Non-Intrusive Load Monitoring

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

NILM-EVAL: An evaluation framework for non-intrusive load monitoring algorithms

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

Deep Neural Networks Applied to Energy Disaggregation

Lightweight library to build and train neural networks in Theano

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

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

A curated resources of awesome NILM resources

基于FPGA的数字调制系统 ：实现m序列作为信源，并通过按键来选择移位相加的初始值和步进值以及实现2ASK、2FSK、2PSK

基于STM32的角度跟随舵机云台