ks838
I'm a PhD in quantum dissipative dynamics. My main interests include machine learning, stochastic processes and algorithms.
Beijing, China (Presently Cambridge, UK)
Pinned Repositories
alphaFM
Multi-thread implementation of Factorization Machines with FTRL for binary-class classification problem.
HEOM
We gave derivations of Hierarchical Equations Of Motion, which describe the dissipative propagation of reduced density matrix.
Murphy-Machine-Learning-A-Probabilistic-Perspective-Errata-and-Notes-4th-printing
Murphy's Machine Learning: A Probabilistic Perspective Errata (4th and later printings)
Neural-Network-nonlinear-regression-spectral-density
We use neural network to do nonlinear regression (both interpolation and extrapolation).
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.
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
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).
scikit-learn
scikit-learn: machine learning in Python
ks838's Repositories
ks838/Murphy-Machine-Learning-A-Probabilistic-Perspective-Errata-and-Notes-4th-printing
Murphy's Machine Learning: A Probabilistic Perspective Errata (4th and later printings)
ks838/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.
ks838/HEOM
We gave derivations of Hierarchical Equations Of Motion, which describe the dissipative propagation of reduced density matrix.
ks838/Neural-Network-nonlinear-regression-spectral-density
We use neural network to do nonlinear regression (both interpolation and extrapolation).
ks838/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).
ks838/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
ks838/alphaFM
Multi-thread implementation of Factorization Machines with FTRL for binary-class classification problem.
ks838/scikit-learn
scikit-learn: machine learning in Python