Reverse Dependencies of tslearn

The following projects have a declared dependency on tslearn:

• aerialist — UAV Test Bench
• aglio — Another Geodata Library for Input/Output (and more)
• astroCAST — Package to analyze calcium fluorescence events in astrocytes
• capital — Single-Cell Analysis, comparing pseudotime trajectories with tree alignment
• ctuFaultDetector — Anomaly detection in time series model
• dispatches — GMLC DISPATCHES software tools
• eral — Implementation of ERAL algorithm (Stržinar et al., 2024)
• GENDIS — Contains an implementation (sklearn API) of the algorithm proposed in "GENDIS: GEnetic DIscovery of Shapelets" and code to reproduce all experiments.
• grailts — Python implementation of GRAIL
• hvspatialpy — A python package for evaluating the spatial variability of a site utilizing the Horizontal-to-Vertical Spectral Ratio (HVSR)
• ieral — Implementation of Iterative ERAL algorithm (Stržinar et al., 2024)
• kf-d3m-primitives — All Kung Fu D3M primitives as a single library
• mesmerize-viz — Mesmerize visualization package using fastplotlib
• metaforecast — Meta-learning and Data-centric Forecasting
• mlots — Machine Learning Over Time-Series: A toolkit for time-series analysis
• netdata-ts-clustering — Time series clustering for netdata.
• openpy-fxts — Various functions and classes for time series forecasting with Machine and Deep Learning
• ott-jax — Optimal Transport Tools in JAX
• penguinevaluate — assesses books sold after publicity or marketing
• pyspi — Library for pairwise analysis of time series data.
• pywaterml — The pywaterml is a package that lets you handle WaterML functions such as GetValues, GetSitesInfo, etc. In addition it lets offers extra functions such as mean interpolation for data with gaps
• QNPy-Latte — Latent ATTEntive Neural Processes for Quasar Light Curves with parametric recovery
• sandu — High Level Sensitivity and Uncertainty (SandU) Analysis Tools.
• seral — Implementation of Streaming ERAL algorithm (Stržinar et al., 2024)
• stream-pose-ml — A toolkit for realtime video classification tasks.
• timexseries-clustering — TIMEX-CLUSTERING is a framework for time-series-clustering-as-a-service
• TMtest1 — TradeMaster - A platform for algorithmic trading
• TradeMaster-try — TradeMaster - A platform for algorithmic trading
• trademaster-try1 — TradeMaster - A platform for algorithmic trading
• trademaster00 — TradeMaster - A platform for algorithmic trading
• trademaster406 — TradeMaster - A platform for algorithmic trading
• ts-train — Time-Series Handling for Machine Learning Tasks
• TSB-AD — Time-Series Anomaly Detection Benchmark
• tsb-kit — Time Series Anomaly Detection toolkit
• TSB-UAD — Time Series Anomaly Detection Benchmark
• tscfat — A time series co-fluctuation analysis toolbox
• tscluster — A useful package for temporal clustering
• TSInterpret — todo
• tsma — (time series model analyses) This package offers tools for analyzing models that generate multivariate time series as output.
• tsproto — Post-host prototype-based explanations with rules for time-series classifiers
• vus — Volume Under the Surface