Explore Projects
Discover 35 open source projects
Showing 21-35 of 35 projects
linjinjin123/awesome-AIOps
A curated collection of resources for learning and implementing AIOps, covering various aspects of AI/ML in operations.
datamllab/tods
An automated time-series outlier detection system built with Python for anomaly detection and autoML.
pygod-team/pygod
A Python library for graph-based anomaly detection and outlier detection, useful for fraud detection and security applications.
nsoojin/coursera-ml-py
Python programming assignments for Andrew Ng's Coursera Machine Learning course
logpai/loglizer
A machine learning toolkit for log-based anomaly detection in AI/ML operations (AIOps)
sintel-dev/Orion
A Python library for unsupervised time series anomaly detection, useful for data science and ML applications.
sentinl/sentinl
Kibana Alert & Report App for Elasticsearch that helps monitor and visualize data anomalies
chickenbestlover/RNN-Time-series-Anomaly-Detection
A Pytorch-based RNN model for anomaly detection in time-series data.
linkedin/luminol
Luminol is an anomaly detection and correlation library for Python, useful for identifying unusual patterns in data.
arundo/adtk
A Python toolkit for rule-based/unsupervised anomaly detection in time series data
RubensZimbres/Repo-2017
This Python repository contains code examples for machine learning, NLP, and deep learning using Keras and Theano
khundman/telemanom
A framework for using LSTMs to detect anomalies in multivariate time series data for spacecraft missions.
curiousily/Deep-Learning-For-Hackers
A collection of machine learning tutorials covering various topics like anomaly detection, time series forecasting, and object detection.
Jingkang50/OpenOOD
A Python library for benchmarking generalized out-of-distribution detection algorithms.
Minqi824/ADBench
Official implementation of the ADBench anomaly detection benchmark for machine learning models
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