STUMPY is a powerful and scalable Python library for modern time series analysis
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Updated
Nov 3, 2024 - Python
STUMPY is a powerful and scalable Python library for modern time series analysis
A Python library for detecting patterns and anomalies in massive datasets using the Matrix Profile
A Python 3 library making time series data mining tasks, utilizing matrix profile algorithms, accessible to everyone.
golang library for computing matrix profiles along with other time series analysis features
A performant, powerful query framework to search for network motifs
Motiflets
Time-series analysis using the Matrix profile in Julia
pyJASPAR: A Pythonic interface to JASPAR transcription factor motifs
A motif discovery tool to detect the occurrences of known motifs
LoCoMotif is a time series motif discovery method that discovers variable-length motif sets in multivariate time series using time warping
Classify time series data using motifs discovered from Sequitur processing of SAX discretized data.
Bayesian Markov Model motif discovery tool version 2 - An expectation maximization algorithm for the de novo discovery of enriched motifs as modelled by higher-order Markov models.
Variational Auto Encoders for learning binding signatures of transcription factors
Yet Another Model Using Neural Networks for Predicting Binding Preferences of for Test DNA Sequences
PEnG-motif is an open-source software package for searching statistically overrepresented motifs (position specific weight matrices, PWMs) in a set of DNA sequences.
The matrix profile data structure and associated algorithms for mining time series data
Structural Temporal Modeling to characterize temporal networks
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