xxyxx's starred repositories
awesome-test-time-adaptation
Collection of awesome test-time (domain/batch/instance) adaptation methods
Open-Set-Recognition
Open Set Recognition
nilm_analyzer
Simple, fast and handy data loaders for NILM datasets to explore the data at convenience, provided with basic transformations like resampling, normalization and extract activities by thresholding.
seq2subseq
Seq2subseq method for NILM
attention-nilm
An Attention-based Deep Neural Network for Non-Intrusive Load Monitoring
awesome-nilm
A curated resources of awesome NILM resources
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:warning: This repository is no longer actively maintained.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.
dnn4nilm_overview
Overview of NILM works employing Deep Neural Networks on low frequency data
awesome-NILM-with-code
A repository of awesome Non-Intrusive Load Monitoring(NILM) with code.
GitHubDaily
坚持分享 GitHub 上高质量、有趣实用的开源技术教程、开发者工具、编程网站、技术资讯。A list cool, interesting projects of GitHub.
V-I_trajectory
Codes to extract features from the V-I trajectory for the classification step in Non-Intrusive Load Monitoring (NILM) approaches.
transferNILM
Transfer Learning for Non-Intrusive Load Monitoring
feature-engineering-and-feature-selection
A Guide for Feature Engineering and Feature Selection, with implementations and examples in Python.
awesome-TS-anomaly-detection
List of tools & datasets for anomaly detection on time-series data.