Pinned Repositories
Grid
Data parallel C++ mathematical object library
histogramr
multivariate histograms of continuous data
IroIro
IroIro++ JLQCD lattice code
json
JSON for Modern C++
keras-rl
Deep Reinforcement Learning for Keras.
LAHMC
Look Ahead Hamiltonian Monte Carlo
magneto
2D Ising model in C++, including IPython notebook examples
rbm_ising
Restricted Boltzmann Machine for the Ising model in PyTorch
RHMC-on-GPU
Rational Hybrid Monte Carlo simulation of QCD with staggered fermions on GPU
Grid
Data parallel C++ mathematical object library
coppolachan's Repositories
coppolachan/rbm_ising
Restricted Boltzmann Machine for the Ising model in PyTorch
coppolachan/RHMC-on-GPU
Rational Hybrid Monte Carlo simulation of QCD with staggered fermions on GPU
coppolachan/IroIro
IroIro++ JLQCD lattice code
coppolachan/Grid
Data parallel C++ mathematical object library
coppolachan/histogramr
multivariate histograms of continuous data
coppolachan/json
JSON for Modern C++
coppolachan/keras-rl
Deep Reinforcement Learning for Keras.
coppolachan/LAHMC
Look Ahead Hamiltonian Monte Carlo
coppolachan/magneto
2D Ising model in C++, including IPython notebook examples
coppolachan/PyDeep
PyDeep is a machine learning / deep learning library with focus on unsupervised learning. The library has a modular design, is well documented and purely written in Python/Numpy. This allows you to understand, use, modify, and debug the code easily. Furthermore, its extensive use of unittests assures a high level of reliability and correctness.
coppolachan/unfoldr
A tool to unfold spectra of random matrices and Hamiltonians and to calculate the nearest-neighbor level spacings.