tslearn VS pretty-print-confusion-matrix

Compare tslearn vs pretty-print-confusion-matrix and see what are their differences.

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tslearn pretty-print-confusion-matrix
51 1
2,780 507
1.4% -
6.9 0.0
5 days ago over 1 year ago
Python Python
BSD 2-clause "Simplified" License Apache License 2.0
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

tslearn

Posts with mentions or reviews of tslearn. We have used some of these posts to build our list of alternatives and similar projects.

pretty-print-confusion-matrix

Posts with mentions or reviews of pretty-print-confusion-matrix. We have used some of these posts to build our list of alternatives and similar projects.

What are some alternatives?

When comparing tslearn and pretty-print-confusion-matrix you can also consider the following projects:

sktime - A unified framework for machine learning with time series

pycm - Multi-class confusion matrix library in Python

sktime-dl - DEPRECATED, now in sktime - companion package for deep learning based on TensorFlow

magnitude - A fast, efficient universal vector embedding utility package.

pytorch-forecasting - Time series forecasting with PyTorch

paramonte - ParaMonte: Parallel Monte Carlo and Machine Learning Library for Python, MATLAB, Fortran, C++, C.

neural_prophet - NeuralProphet: A simple forecasting package

modAL - A modular active learning framework for Python

Time-series-classification-and-clustering-with-Reservoir-Computing - Library for implementing reservoir computing models (echo state networks) for multivariate time series classification and clustering.

igel - a delightful machine learning tool that allows you to train, test, and use models without writing code

scikit-hts - Hierarchical Time Series Forecasting with a familiar API

R-Time-Series-Task-View-Supplement - R Time series packages not included in CRAN Task View: Time Series Analysis