Bernardo Williams's repositories
TermProjectIML
Fall 2020 Term Project
blackjax
BlackJAX is a Bayesian Inference library designed for ease of use, speed and modularity.
Language:PythonApache-2.0000
Language:Python000
Entropy-NeuralMC
A Neural Network MCMC sampler that maximizes Proposal Entropy
Language:Jupyter Notebook000
Language:PythonMIT000
flowMC
Normalizing-flow enhanced sampling package for probabilistic inference in Jax
Language:PythonMIT000
geomjax
Riemannian Monte Carlo methods on Jax.
Language:PythonApache-2.0000
Iliad
Implementation of Hamiltonian Monte Carlo sampling methods in pure NumPy and SciPy.
Language:PythonMIT000
l2hmc
TensorFlow implementation for training MCMC samplers from the paper: Generalizing Hamiltonian Monte Carlo with Neural Network
Language:Jupyter NotebookApache-2.0000
Language:Python000
postjax
Collection of posterior distributions in Jax.
Language:PythonMIT000
rmhmc
Riemannian HMC in JAX
Language:PythonMIT000
Language:HTML000