Showing 21-40 of 43 projects
A machine learning toolkit for log parsing, useful for anomaly detection and analysis.
A Python library for finding big moving stocks using machine learning and anomaly detection.
A curated list of Graph/Transformer-based papers and resources for fraud, anomaly, and outlier detection.
A curated collection of resources for learning and implementing AIOps, covering various aspects of AI/ML in operations.
An automated time-series outlier detection system built with Python for anomaly detection and autoML.
A Python library for graph-based anomaly detection and outlier detection, useful for fraud detection and security applications.
Python programming assignments for Andrew Ng's Coursera Machine Learning course
A machine learning toolkit for log-based anomaly detection in AI/ML operations (AIOps)
A toolkit for time series machine learning and deep learning, focused on data-mining and forecasting.
A Python library for unsupervised time series anomaly detection, useful for data science and ML applications.
Kibana Alert & Report App for Elasticsearch that helps monitor and visualize data anomalies
A Pytorch-based RNN model for anomaly detection in time-series data.
Luminol is an anomaly detection and correlation library for Python, useful for identifying unusual patterns in data.
A Python toolkit for rule-based/unsupervised anomaly detection in time series data
This Python repository contains code examples for machine learning, NLP, and deep learning using Keras and Theano
A Java library for automatically detecting anomalies in large-scale time-series data.
A framework for using LSTMs to detect anomalies in multivariate time series data for spacecraft missions.
A Python library for real-time anomaly detection and alerting on time-series data.
AnomalyGPT is a powerful tool for detecting industrial anomalies using large vision-language models.
A collection of machine learning tutorials covering various topics like anomaly detection, time series forecasting, and object detection.
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