ks838/Murphy-Machine-Learning-A-Probabilistic-Perspective-Errata-and-Notes-4th-printing

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ks838/Murphy-Machine-Learning-A-Probabilistic-Perspective-Errata-and-Notes-4th-printing

ks838

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Murphy's Machine Learning: A Probabilistic Perspective Errata (4th and later printings)

Ring-Polymer-Molecular-Dynamics-in-Python-and-cpp

In this project, we give python and C++ codes for the Ring Polymer Molecular Dynamics (RMPD) to calculate the time correlation function(TCF) of coordinate <q(0)q(t)>. Two kinds of thermostat have been tested.

Neural-Network-nonlinear-regression-spectral-density

We use neural network to do nonlinear regression (both interpolation and extrapolation).

HEOM

We gave derivations of Hierarchical Equations Of Motion, which describe the dissipative propagation of reduced density matrix.

RNN-LSTM-to-learn-long-time-quantum-dynamics

I use RNN-LSTM to encode the propagation information of a quantum dissipatvie system (or say, quantum process tomography).

RNN-LSTM-text-generating-tensforflow-Shakespeare

In this project, I did character and word statistics of Shakespeare's complete works. I also used RNN-LSTM to do text generating

Jupyter Notebook