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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

bore-experiments

dbo-aabi2019

Distributional Bayesian optimisation for variational inference on black-box simulators

delfi

Density estimation likelihood-free inference

gpyopt

Gaussian Process Optimization using GPy

gpytorch

A highly efficient implementation of Gaussian Processes in PyTorch

kl-divergence-estimators

Testing methods for estimating KL-divergence from samples.

markdown

Convert Markdown to HTML, with XSS protection

mdn

Mixture density network implemented in PyTorch.

mushroom-rl

Python library for Reinforcement Learning.

no-regret-approximate-inference-via-bo

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

normalizing-flows

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

numpyro

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

pysgmcmc

Bayesian Deep Learning with Stochastic Gradient MCMC Methods

pyswyft

A Python wrapper for the Swyftx API

pytorch-mdn

Mixture Density Networks for PyTorch

pyttsx4

Offline Text To Speech synthesis for python

rafaol.github.io

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

riemann

A research framework for MCMC

rl-baselines-zoo

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

robo

RoBO: a Robust Bayesian Optimization framework

rosserial

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

snefy

An implementation of squared neural families in PyTorch

snl

Sequential Neural Likelihood

ssgp

Sparse spectrum Gaussian process regression

stein-variational-gradient-descent

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