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Learning in infinite dimension with neural operators.

AL4PDE: A Benchmark for Active Learning for Neural PDE Solvers

A highly efficient implementation of Gaussian Processes in PyTorch

Sofa Template Library

Offline Text To Speech synthesis for python

An implementation of squared neural families in PyTorch

Bayesian Deep Learning with Stochastic Gradient MCMC Methods

Exploratory analysis of Bayesian models with Python

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

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

Bayesian Optimization with Density-Ratio Estimation

A Python wrapper for the Swyftx API

A research framework for MCMC

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

Python library for Reinforcement Learning.

Density estimation likelihood-free inference

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

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

Sequential Neural Likelihood

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

Mixture Density Networks for PyTorch