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Let's build a real time fraud detection system using TurboML
Resources on real-time machine learning
Example notebooks using the TurboML platform
Open source DocuSign alternative. Create, fill, and sign digital documents ✍️
An implementation of the Random Cut Forest data structure for sketching streaming data, with support for anomaly detection, density estimation, imputation, and more.
🦎 A lightweight, multi-protocol gateway for event-driven applications and AI agents. Expose and govern Kafka, MQTT, APIs, and MCP through one high-performance engine with shared routing, security, …
SigNoz is an open-source, OpenTelemetry-native observability platform for your team and their AI agents. Get logs, metrics, and traces in one tool with features like APM, distributed tracing, log m…
A lightning-fast search engine API bringing AI-powered hybrid search to your sites and applications.
A simple, fast and user-friendly alternative to 'find'
nannyml: post-deployment data science in python
MOA is an open source framework for Big Data stream mining. It includes a collection of machine learning algorithms (classification, regression, clustering, outlier detection, concept drift detecti…
Vowpal Wabbit is a machine learning system which pushes the frontier of machine learning with techniques such as online, hashing, allreduce, reductions, learning2search, active, and interactive lea…
The Tornado 🌪️ framework, designed and implemented for adaptive online learning and data stream mining in Python.
📑 Online machine learning resources
a realtime plotting utility for terminal/console with data input from stdin
A Python Library for Graph Outlier Detection (Anomaly Detection)
Kats, a kit to analyze time series data, a lightweight, easy-to-use, generalizable, and extendable framework to perform time series analysis, from understanding the key statistics and characteristi…
A Python toolkit for rule-based/unsupervised anomaly detection in time series
Streaming anomaly detection in Python: 16 online detectors (xStream, LODA, RS-Hash, Half-Space Trees, RRCF…) plus calibration and prequential evaluation for real-time data.
Algorithms for outlier, adversarial and drift detection
Isconna: Streaming Anomaly Detection with Frequency and Patterns
A Survey and Taxonomy of the Recent GANs Development，computer vision & time series
Search inside YouTube videos using natural language
Oils is our upgrade path from bash to a better language and runtime. It's also for Python and JavaScript users who avoid shell!