Stars
Production-ready data processing made easy and shareable
Implementation for the Neural Logic Machines (NLM).
Code and Pretrained Models for ICLR 2023 Paper "Contrastive Audio-Visual Masked Autoencoder".
A comprehensive suite of tools, built to liberate science by making the creation, evaluation, and dissemination of research more transparent, affordable, and efficient.
Python implementation of the Learning Time-Series Shapelets method, that learns a shapelet-based time-series classifier with gradient descent.
Deep Neural Networks Applied to Energy Disaggregation
🌦️ A catalogue and categorization of AI-based weather forecasting models.
Transfer Learning for Non-Intrusive Load Monitoring
A Python Package to Download and Process the German Power Plant and Energy System Registry Marktstammdatenregister (MaStR)
Tool for assigning labels to images from a given folder.
Python implementation of Symbolic Aggregate approXimation
Multi-NILM: Multi Label Non Intrusive Load Monitoring
Mapper implementation (Topological Data Analysis) in Python
Scripts Swisstopo GPS WGS84 <-> LV03 (CH1903)
wbwvos / pidgey
Forked from agermanidis/pigeon🐦 Quickly annotate data from the comfort of your Jupyter notebook
A schema for modelling meters, measurements, appliances, buildings etc
An Attention-based Deep Neural Network for Non-Intrusive Load Monitoring
🔌 Load Monitoring and Energy Disaggregation on a RasPi
Python package that implements temporal disaggregation models to convert low-frequency to high-frequency time series (pip install timedisagg).
Time Series embedding using LSTM Autoencoders with PyTorch in Python
A weather data generation tool for building energy system simulations. Pull, Transform, Export.
HIRE - HIgh Resolution Energy Demand simulation model
A Python package to calculate degree days (DD or in french DJU - degré jour unifié) from measured outdoor temperatures and to make it possible to quantify drift of energy consumption for heating (o…