deep-iforest
tods
| deep-iforest | tods | |
|---|---|---|
| 1 | 3 | |
| 69 | 1,302 | |
| - | 2.7% | |
| 3.4 | 3.1 | |
| about 1 year ago | 8 months ago | |
| Python | Python | |
| Apache License 2.0 | Apache License 2.0 |
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.
deep-iforest
-
Commercial Opensource LLM
For use-case 1, you really should use a statistical solution like Isolation Forest. It's going to be more reliable and less computationally expensive than an LLM.
tods
-
Anomaly detection Algorithms
Sounds that OP is looking for time series anomaly detection, not multivariate. Perhaps https://github.com/datamllab/tods is an option,
-
Unsupervised Anomaly Detection with Multivariate Time series
I suggest you try some AutoML library for anomaly detection, e.g.: https://github.com/datamllab/tods
-
[P] [R] Luminaire: A hands-off Anomaly Detection Library
TODS
What are some alternatives?
pyod - A Comprehensive and Scalable Python Library for Outlier Detection (Anomaly Detection)
luminaire - Luminaire is a python package that provides ML driven solutions for monitoring time series data.
OpenOOD - Benchmarking Generalized Out-of-Distribution Detection
anomaly-detection-resources - Anomaly detection related books, papers, videos, and toolboxes
PyPOTS - A Python toolbox/library for reality-centric machine/deep learning and data mining on partially-observed time series with PyTorch, including SOTA neural network models for science analysis tasks of imputation, classification, clustering, forecasting & anomaly detection on incomplete (irregularly-sampled) multivariate TS with NaN missing values
timebasedcv - Time based splits for cross validation
Merlion - Merlion: A Machine Learning Framework for Time Series Intelligence