An open-source, low-code machine learning library in Python
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Updated
Jul 10, 2024 - Jupyter Notebook
An open-source, low-code machine learning library in Python
A Python Library for Outlier and Anomaly Detection, Integrating Classical and Deep Learning Techniques
Anomaly detection related books, papers, videos, and toolboxes
A python library for user-friendly forecasting and anomaly detection on time series.
An anomaly detection library comprising state-of-the-art algorithms and features such as experiment management, hyper-parameter optimization, and edge inference.
Merlion: A Machine Learning Framework for Time Series Intelligence
STUMPY is a powerful and scalable Python library for modern time series analysis
List of tools & datasets for anomaly detection on time-series data.
A curated list of awesome anomaly detection resources
Jupyter Notebook tutorials on solving real-world problems with Machine Learning & Deep Learning using PyTorch. Topics: Face detection with Detectron 2, Time Series anomaly detection with LSTM Autoencoders, Object Detection with YOLO v5, Build your first Neural Network, Time Series forecasting for Coronavirus daily cases, Sentiment Analysis with BER
A high-level machine learning and deep learning library for the PHP language.
Deep learning PyTorch library for time series forecasting, classification, and anomaly detection (originally for flood forecasting).
TimeGPT-1: production ready pre-trained Time Series Foundation Model for forecasting and anomaly detection. Generative pretrained transformer for time series trained on over 100B data points. It's capable of accurately predicting various domains such as retail, electricity, finance, and IoT with just a few lines of code 🚀.
The collection of pre-trained, state-of-the-art AI models for ailia SDK
Find big moving stocks before they move using machine learning and anomaly detection
A large collection of system log datasets for AI-driven log analytics [ISSRE'23]
AIOps
A machine learning toolkit for log parsing [ICSE'19, DSN'16]
Python programming assignments for Machine Learning by Prof. Andrew Ng in Coursera
TODS: An Automated Time-series Outlier Detection System
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