536 Open source projects that are alternatives of or similar to Adtk

Tidy anomaly detection

An End-to-end Outlier Detection System

Repository of the paper "A Systematic Evaluation of Deep Anomaly Detection Methods for Time Series".

Anomaly detection for temporal data using LSTMs

A framework for using LSTMs to detect anomalies in multivariate time series data. Includes spacecraft anomaly data and experiments from the Mars Science Laboratory and SMAP missions.

Luminaire is a python package that provides ML driven solutions for monitoring time series data.

Resources for working with time series and sequence data

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

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 BERT.

Anomaly detection for streaming time series, featuring automated model selection.

A Python 3 library making time series data mining tasks, utilizing matrix profile algorithms, accessible to everyone.

High-performance time series algorithms for Ruby

A collection of anomaly detection methods (iid/point-based, graph and time series) including active learning for anomaly detection/discovery, bayesian rule-mining, description for diversity/explanation/interpretability. Analysis of incorporating label feedback with ensemble and tree-based detectors. Includes adversarial attacks with Graph Convolutional Network.

A repository for code accompanying the manuscript 'An Evaluation of Anomaly Detection and Diagnosis in Multivariate Time Series' (published at TNNLS)

Library for multi-dimensional, multi-sensor, uni/multivariate time series data analysis, unsupervised feature selection, unsupervised deep anomaly detection, and prototype of explainable AI for anomaly detector

PyTorch implementation of MTAD-GAT (Multivariate Time-Series Anomaly Detection via Graph Attention Networks) by Zhao et. al (2020, https://arxiv.org/abs/2009.02040).

fast implementation of singular spectrum transformation (change point detection algorithm)

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

Anomaly detection analysis and labeling tool, specifically for multiple time series (one time series per category)

Merlion: A Machine Learning Framework for Time Series Intelligence

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

Fast and flexible Gaussian Process regression in Python

Recurrent (conditional) generative adversarial networks for generating real-valued time series data.

A python library for Bayesian time series modeling

A toolkit for working with time series in R

GANomaly: Semi-Supervised Anomaly Detection via Adversarial Training

A Python Toolbox for Scalable Outlier Detection (Anomaly Detection)

Low-latency algorithmic trading platform written in Rust

A unified framework for machine learning with time series

Time Series in Go and PostgreSQL

sktime companion package for deep learning based on TensorFlow

Quantitative Financial Modelling Framework

Deep learning PyTorch library for time series forecasting, classification, and anomaly detection (originally for flood forecasting).

Fully Convlutional Neural Networks for state-of-the-art time series classification

Collection of useful data science topics along with code and articles

Machine Learning on Sequential Data Using a Recurrent Weighted Average

Synthetic Data Generation for tabular, relational and time series data.

WinDBG Anti-RootKit Extension

Accumulo backed time series database

List of awesome papers about time series, mainly including algorithms based on machine learning | 收录时间序列分析中各个研究领域的高水平文章，主要包含基于机器学习的算法

An aggregating proxy to enable HA prometheus

Scalable datastore for metrics, events, and real-time analytics

A collection of time series prediction methods: rnn, seq2seq, cnn, wavenet, transformer, unet, n-beats, gan, kalman-filter

Series and Panels for Real-time and Exploratory Analysis of Data Streams

SiriDB is a highly-scalable, robust and super fast time series database. Build from the ground up SiriDB uses a unique mechanism to operate without a global index and allows server resources to be added on the fly. SiriDB's unique query language includes dynamic grouping of time series for easy analysis over large amounts of time series.

Distributable time-series database (not actively maintained)

Ruby client for InfluxDB

A highly scalable real-time graphing system

Anomaly Detection on Dynamic (time-evolving) Graphs in Real-time and Streaming manner. Detecting intrusions (DoS and DDoS attacks), frauds, fake rating anomalies.

A large collection of system log datasets for AI-powered log analytics

Python module for machine learning time series:

DeltaPy - Tabular Data Augmentation (by @firmai)

Deep Anomaly Detection with Outlier Exposure (ICLR 2019)

Sequence prediction using recurrent neural networks(LSTM) with TensorFlow

Code for "Neural Controlled Differential Equations for Irregular Time Series"

AtsPy: Automated Time Series Models in Python (by @firmai)

Time Series Benchmark Suite, a tool for comparing and evaluating databases for time series data

Anomaly detection related books, papers, videos, and toolboxes

iPython notebook and pre-trained model that shows how to build deep Autoencoder in Keras for Anomaly Detection in credit card transactions data

Apply ML to the skeletons from OpenPose; 9 actions; multiple people. (WARNING: I'm sorry that this is only good for course demo, not for real world applications !!! Those ary very difficult !!!)