rafaol

active-learning-conditional-mean-embeddings

Code repository for the UAI 2020 paper "Active learning of conditional mean embeddings via Bayesian optimisation" by S. R. Chowdhury, R. Oliveira and F. Ramos.

amppi

Adaptive MPPI controller for OpenAI Gym environments

arviz

Exploratory analysis of Bayesian models with Python

batch-bore-with-guarantees

Code repository for NeurIPS 2022 paper "Batch Bayesian optimisation via density-ratio estimation with guarantees"

bore

Bayesian Optimization with Density-Ratio Estimation

dbo-aabi2019

Distributional Bayesian optimisation for variational inference on black-box simulators

no-regret-approximate-inference-via-bo

Code repository for the paper No-Regret Approximate Inference via Bayesian Optimisation, published at UAI 2021

riemann

A research framework for MCMC

ssgp

Sparse spectrum Gaussian process regression

rosserial

A ROS client library for small, embedded devices, such as Arduino. See: http://wiki.ros.org/rosserial

rafaol/ssgp

Sparse spectrum Gaussian process regression

rafaol/batch-bore-with-guarantees

Code repository for NeurIPS 2022 paper "Batch Bayesian optimisation via density-ratio estimation with guarantees"

rafaol/bore

Bayesian Optimization with Density-Ratio Estimation

rafaol/active-learning-conditional-mean-embeddings

Code repository for the UAI 2020 paper "Active learning of conditional mean embeddings via Bayesian optimisation" by S. R. Chowdhury, R. Oliveira and F. Ramos.

rafaol/amppi

Adaptive MPPI controller for OpenAI Gym environments

rafaol/arviz

Exploratory analysis of Bayesian models with Python

rafaol/bore-experiments

rafaol/dbo-aabi2019

Distributional Bayesian optimisation for variational inference on black-box simulators

rafaol/no-regret-approximate-inference-via-bo

Code repository for the paper No-Regret Approximate Inference via Bayesian Optimisation, published at UAI 2021

rafaol/riemann

A research framework for MCMC

rafaol/delfi

Density estimation likelihood-free inference

rafaol/GPyOpt

Gaussian Process Optimization using GPy

rafaol/gpytorch

A highly efficient implementation of Gaussian Processes in PyTorch

rafaol/markdown

Convert Markdown to HTML, with XSS protection

rafaol/mdn

Mixture density network implemented in PyTorch.

rafaol/mushroom-rl

Python library for Reinforcement Learning.

rafaol/normalizing-flows

Neural Spline Flow, RealNVP, Autoregressive Flow, 1x1Conv in PyTorch.

rafaol/numpyro

Probabilistic programming with NumPy powered by JAX for autograd and JIT compilation to GPU/TPU/CPU.

rafaol/pysgmcmc

Bayesian Deep Learning with Stochastic Gradient MCMC Methods

rafaol/PySwyft

A Python wrapper for the Swyftx API

rafaol/pytorch-mdn

Mixture Density Networks for PyTorch

rafaol/pyttsx4

Offline Text To Speech synthesis for python

rafaol/rafaol.github.io

Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes

rafaol/rl-baselines-zoo

A collection of 100+ pre-trained RL agents using Stable Baselines, training and hyperparameter optimization included.

rafaol/rosserial

A ROS client library for small, embedded devices, such as Arduino. See: http://wiki.ros.org/rosserial

rafaol/snefy

An implementation of squared neural families in PyTorch

rafaol/snl

Sequential Neural Likelihood

rafaol/Stein-Variational-Gradient-Descent

code for the paper "Stein Variational Gradient Descent (SVGD): A General Purpose Bayesian Inference Algorithm"

rafaol/STLIB

Sofa Template Library

rafaol/torch-mvnorm

Multivariate normal CDF computation for tensors. Implementation of closed form derivatives.