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

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Maintainers

clonker cwehmeyer Maaike thempel

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Project description

deeptime

Deeptime is a general purpose Python library offering various tools to estimate dynamical models based on time-series data including conventional linear learning methods, such as Markov State Models (MSMs), Hidden Markov Models (HMMs) and Koopman models, as well as kernel and deep learning approaches such as VAMPnets and deep MSMs. The library is largely compatible with scikit-learn, having a range of Estimator classes for these different models, but in contrast to scikit-learn also provides Model classes, e.g., in the case of an MSM, which provide a multitude of analysis methods to compute interesting thermodynamic, kinetic and dynamical quantities, such as free energies, relaxation times and transition paths.

Releases:

Installation via conda recommended, pip compiles the library locally.


`conda install -c conda-forge deeptime`	`pip install deeptime`

Documentation: deeptime-ml.github.io.

Building the latest trunk version of the package:

Using pip with a local clone and pulling dependencies:

git clone https://github.com/deeptime-ml/deeptime.git

cd deeptime
pip install .

Or using pip directly on the remote:

pip install git+https://github.com/deeptime-ml/deeptime.git@main

Project details

These details have been verified by PyPI

Maintainers

clonker cwehmeyer Maaike thempel

These details have not been verified by PyPI

Project links

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View statistics for this project via Libraries.io, or by using our public dataset on Google BigQuery

Release history Release notifications | RSS feed

This version

0.4.4

Dec 20, 2022

0.4.3

Sep 8, 2022

0.4.2

Apr 11, 2022

0.4.1

Feb 16, 2022

0.4.0

Jan 24, 2022

0.3.1

Nov 15, 2021

0.3.0

Nov 1, 2021

0.2.9

Jul 13, 2021

0.2.8

Jul 12, 2021

0.2.7

May 11, 2021

0.2.6

Feb 26, 2021

0.2.5

Feb 24, 2021

0.2.4

Feb 24, 2021

0.2.3

Jan 29, 2021

0.2.2

Oct 27, 2020

0.2.1

Oct 26, 2020

0.0.0

Feb 12, 2018

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