luminaire
DeepADoTS
| luminaire | DeepADoTS | |
|---|---|---|
| 28 | 1 | |
| 753 | 538 | |
| 0.8% | 0.0% | |
| 0.0 | 0.0 | |
| 3 months ago | almost 2 years ago | |
| Python | Python | |
| Apache License 2.0 | MIT License |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
luminaire
DeepADoTS
-
[D] Anomaly detection without training set?
Other than that, if you're looking for more complicated models you could try and adapt one of the models from this this GitHub repo for your task (this is an open source repo of some SOTA anomaly detection models).
What are some alternatives?
tods - TODS: An Automated Time-series Outlier Detection System
d2l-en - Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.
pyod - A Comprehensive and Scalable Python Library for Outlier Detection (Anomaly Detection)
Real-Time-Voice-Cloning - Clone a voice in 5 seconds to generate arbitrary speech in real-time
luminol - Anomaly Detection and Correlation library
neural_prophet - NeuralProphet: A simple forecasting package
darts - A python library for user-friendly forecasting and anomaly detection on time series.
Informer2020 - The GitHub repository for the paper "Informer" accepted by AAAI 2021.
Merlion - Merlion: A Machine Learning Framework for Time Series Intelligence
pytorch-forecasting - Time series forecasting with PyTorch
OpenOOD - Benchmarking Generalized Out-of-Distribution Detection
sktime - A unified framework for machine learning with time series