An open-source, low-code machine learning library in Python

Anomaly detection related books, papers, videos, and toolboxes

A Comprehensive and Scalable Python Library for Outlier Detection (Anomaly Detection)

A python library for user-friendly forecasting and anomaly detection on time series.

My first Python repo with codes in Machine Learning, NLP and Deep Learning with Keras and Theano

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 …

An anomaly detection library comprising state-of-the-art algorithms and features such as experiment management, hyper-parameter optimization, and edge inference.

A large collection of system log datasets for AI-driven log analytics [ISSRE'23]

A machine learning toolkit for log parsing [ICSE'19, DSN'16]

A curated list of awesome anomaly detection resources

Python programming assignments for Machine Learning by Prof. Andrew Ng in Coursera

List of tools & datasets for anomaly detection on time-series data.

Train, Evaluate, Optimize, Deploy Computer Vision Models via OpenVINO™

Machine Learning tutorials with TensorFlow 2 and Keras in Python (Jupyter notebooks included) - (LSTMs, Hyperameter tuning, Data preprocessing, Bias-variance tradeoff, Anomaly Detection, Autoencoders, Time Series Forecasting, Object Detection, Sentiment Analysis, Intent Recognition with BERT)

A machine learning toolkit for log-based anomaly detection [ISSRE'16]

AIOps学习资料汇总，欢迎一起补全这个仓库，欢迎star

Find big moving stocks before they move using machine learning and anomaly detection

Code for Hands-on Unsupervised Learning Using Python (O'Reilly Media)

RNN based Time-series Anomaly detector model implemented in Pytorch.

The collection of pre-trained, state-of-the-art AI models for ailia SDK