1234 Open source projects that are alternatives of or similar to Stumpy

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

Resources for working with time series and sequence data

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

Radio Astronomy Algorithms Library

An open-source framework for real-time anomaly detection using Python, ElasticSearch and Kibana

Probabilistic programming framework that facilitates objective model selection for time-varying parameter models.

AIOps学习资料汇总，欢迎一起补全这个仓库，欢迎star

Automated Machine Learning [AutoML] with Python, scikit-learn, Keras, XGBoost, LightGBM, and CatBoost

High-performance time series algorithms for Ruby

Python wrapper around GraphBLAS

A unified framework for machine learning with time series

An End-to-end Outlier Detection System

An Unsupervised Graph-based Toolbox for Fraud Detection

PyData Korea 공식 홈페이지입니다. (준비중)

Anomaly detection related books, papers, videos, and toolboxes

Parallel computing with task scheduling

Anomaly detection library based on singular spectrum transformation(sst)

PyData, The Complete Works of

TSrepr: R package for time series representations

An open source library for Fuzzy Time Series in Python

Koalas: pandas API on Apache Spark

A Python Toolbox for Scalable Outlier Detection (Anomaly Detection)

A high-level machine learning and deep learning library for the PHP language.

vtreat is a data frame processor/conditioner that prepares real-world data for predictive modeling in a statistically sound manner. Distributed under a BSD-3-Clause license.

Pattern Matching for Javascript

A toolbox for processing and analysing air traffic data

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

Data science and AI solution accelerator suite that provides templates for prototyping, reporting, and presenting data science analytics of specific domains

Abnormal Event Detection in Videos using SpatioTemporal AutoEncoder

a curated list of R tutorials for Data Science, NLP and Machine Learning

Python Cheat Sheet NumPy, Matplotlib

Tensor Network Learning with PyTorch

Real-World Anomaly Detection in Surveillance Videos

BERT, AWS RDS, AWS Forecast, EMR Spark Cluster, Hive, Serverless, Google Assistant + Raspberry Pi, Infrared, Google Cloud Platform Natural Language, Anomaly detection, Tensorflow, Mathematics

State-of-the art Automated Machine Learning python library for Tabular Data

This book serves as an introduction to a whole new way of thinking systematically about geographic data, using geographical analysis and computation to unlock new insights hidden within data.

Master the essential skills needed to recognize and solve complex real-world problems with Machine Learning and Deep Learning by leveraging the highly popular Python Machine Learning Eco-system.

A Spark/Scala implementation of the isolation forest unsupervised outlier detection algorithm.

The Predictive Ecosystem Analyzer (PEcAn) is an integrated ecological bioinformatics toolbox.

Notebooks for the Seattle PyData 2017 talk on Scattertext

Free and Open Source software for numerical computation providing a powerful computing environment for engineering and scientific applications.

Code For Medium Article "How To Create Data Products That Are Magical Using Sequence-to-Sequence Models"

Interface to use R from Python

A Lean Persistent Homology Library for Python

This is a repository which contains all my work related Machine Learning, AI and Data Science. This includes my graduate projects, machine learning competition codes, algorithm implementations and reading material.

🍇 Syntax-aware grep-like for Clojure

A list of colleges and universities offering degrees in data science.

Python library for analysis of time series data including dimensionality reduction, clustering, and Markov model estimation

A collection of popular Data Science Challenges/Competitions || Countdown timers to keep track of the entry deadlines.

The Raspberry Turk is a robot that can play chess—it's entirely open source, based on Raspberry Pi, and inspired by the 18th century chess playing machine, the Mechanical Turk.

Log-based Impactful Problem Identification using Machine Learning [FSE'18]

IPython widgets, interactive plots, interactive machine learning

YouTube Like Count Predictions using Machine Learning

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Readings in applied data science

The Accelerator is a tool for fast and reproducible processing of large amounts of data.

A curated list of community detection research papers with implementations.

Machine learning with scikit-learn tutorial at PyData Chicago 2016

Helps you write algorithms in PyTorch that adapt to the available (CUDA) memory

SF Brigade's Data Science Working Group.