Explore Projects
Discover 43 open source projects
Showing 1-20 of 43 projects
cleanlab/cleanlab
An open-source library for data-centric AI with tools for data quality and machine learning on messy, real-world data.
yzhao062/pyod
A Python library for outlier and anomaly detection, integrating classical and deep learning techniques.
pycaret/pycaret
An open-source, low-code machine learning library in Python for building and training machine learning models.
sktime/sktime
A unified framework for machine learning with time series in Python, focused on forecasting, anomaly detection, and more.
unit8co/darts
A Python library for user-friendly forecasting and anomaly detection on time series data.
yzhao062/anomaly-detection-resources
A comprehensive collection of resources for anomaly detection, including books, papers, videos, and toolboxes.
open-edge-platform/anomalib
An open-source anomaly detection library with state-of-the-art algorithms and features like experiment management and edge inference.
salesforce/Merlion
A Python framework for building advanced time series forecasting and anomaly detection models.
Nixtla/nixtla
TimeGPT-1 is a production-ready pre-trained time series foundation model for forecasting and anomaly detection.
twitter/AnomalyDetection
An R library for detecting anomalies in time series data using statistical models.
M-3LAB/awesome-industrial-anomaly-detection
A comprehensive resource for industrial image anomaly/defect detection papers and datasets.
rob-med/awesome-TS-anomaly-detection
A curated list of tools and datasets for anomaly detection on time-series data.
hoya012/awesome-anomaly-detection
A curated list of awesome resources for anomaly detection using machine learning and deep learning techniques.
logpai/loghub
A large collection of system log datasets for AI-driven log analytics.
SeldonIO/alibi-detect
Detects anomalies and drift in data with algorithms for outlier, adversarial, and concept-drift detection.
curiousily/Getting-Things-Done-with-Pytorch
A collection of Jupyter Notebook tutorials on solving real-world problems with machine learning and deep learning using PyTorch.
ailia-ai/ailia-models
A collection of pre-trained, state-of-the-art AI models for the ailia SDK, supporting a wide range of computer vision and natural language processing tasks.
RubixML/ML
A high-level machine learning and deep learning library for the PHP language.
etsy/skyline
Skyline is a Python library for detecting anomalies in time series data, part of the Kale stack.
WenjieDu/PyPOTS
A Python toolkit for building machine/deep learning models on partially-observed time series data
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