pretty-print-confusion-matrix VS tslearn

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

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pretty-print-confusion-matrix tslearn
1 51
507 2,780
- 1.4%
0.0 6.9
over 1 year ago 5 days ago
Python Python
Apache License 2.0 BSD 2-clause "Simplified" License
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.

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.

tslearn

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

What are some alternatives?

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

pycm - Multi-class confusion matrix library in Python

sktime - A unified framework for machine learning with time series

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

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

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

pytorch-forecasting - Time series forecasting with PyTorch

modAL - A modular active learning framework for Python

neural_prophet - NeuralProphet: A simple forecasting package

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

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

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