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Name: Markov model
Type: Organization
Name: Markov model
Type: Organization
A python framework to run adaptive Markov state model (MSM) simulation on HPC resources
Basis sets for variational approach for conformational dynamics (VAC)
Repository for the computational sciences project of 2016/2017
Repository for the computational sciences software project of 2017/2018
Repository for the computational sciences software project of 2018/2019
Code for the results of the paper at https://arxiv.org/abs/1805.07601
Code to reproduce results for the paper: Progress in deep Markov State Modeling: Coarse graining and experimental data restraints
Deep learning meets molecular dynamics.
Variational approach to feature selection
Encoding of transition probabilities with undirected graphical models
Get access to our MD data files.
IPython API to visualize MD-trajectories along projected trajectories inside a Jupyter notebook
A playground for examples and tools to explore the theory of MSMs and related models.
MSMs coupled with reaction-diffusion dynamics
Tools for estimating and analyzing Markov state models
Code for observable operator models
🚂 Python API for Emma's Markov Model Algorithms 🚂
PyEMMA Jupyter Notebooks
How to analyze molecular dynamics data with PyEMMA
Python bridge to Java Stallone library
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