drckf
Physicist, theoretical biologist, and Bayesian working on machine learning and artificial intelligence.
San Francisco
Pinned Repositories
DrivenSampler
Exploring non-equilibrium Monte Carlo samplers for training Boltzmann machines.
mlreview_notebooks
Jupyter notebooks for "A high-bias, low-variance introduction to Machine Learning for physicists"
paysage
Unsupervised learning and generative models in python/pytorch.
.github
Default issue templates and guidelines for GitHub.
genemunge
Tools for munging genomic data
neural-boltzmann-machines
Official Implementation of Neural Boltzmann Machines
drckf's Repositories
drckf/mlreview_notebooks
Jupyter notebooks for "A high-bias, low-variance introduction to Machine Learning for physicists"
drckf/paysage
Unsupervised learning and generative models in python/pytorch.
drckf/DrivenSampler
Exploring non-equilibrium Monte Carlo samplers for training Boltzmann machines.