natalieklein229

conditional-conformal-pvalues

Conditional calibration of conformal p-values for outlier detection.

PyTorch-BayesianCNN

Bayesian Convolutional Neural Network with Variational Inference based on Bayes by Backprop in PyTorch.

resampled-base-flows

Normalizing Flows with a resampled base distribution

uf3

UF3: a python library for generating ultra-fast interatomic potentials

NLoed

Nonlinear Optimal Experimental Design

cuTAGI

CUDA implementation of Tractable Approximate Gaussian Inference

temporal_normalizing_flows

fullsspruce-public

Publicly-accessible repo for Full Spin System Prediction with UnCertainty (FullSSPrUCe)

Architector

The architector python package - for 3D metal complex design. C22085

parallel-tempering-neural-net

Parallel tempering MCMC Bayesian neural network

FBNN

Code for "Functional variational Bayesian neural networks" (https://arxiv.org/abs/1903.05779)

SMCPy

Python module for uncertainty quantification using a parallel sequential Monte Carlo sampler

bayesfast

Next generation Bayesian analysis tools for efficient posterior sampling and evidence estimation.

NLoed

Nonlinear Optimal Experimental Design

dl_signal

Deep Learning Model for Signal Data

fortuna

A Library for Uncertainty Quantification.

TyXe

TGP.pytorch

Repository for the work Transforming Gaussian Processes with Normalizing Flows published at AISTATS 2021

deep-learning-uncertainty

Literature survey, paper reviews, experimental setups and a collection of implementations for baselines methods for predictive uncertainty estimation in deep learning models.

normalizing-flows

PyTorch implementation of normalizing flow models

Conv-TasNet

cplxmodule

Complex-valued neural networks for pytorch and Variational Dropout for real and complex layers.

complexPyTorch

A high-level toolbox for using complex valued neural networks in PyTorch

cvnn

Library to help implement a complex-valued neural network (cvnn) using tensorflow as back-end

deep_complex_networks

Implementation related to the Deep Complex Networks

pyro

Deep universal probabilistic programming with Python and PyTorch

sgpvae

SEPIA

Simulation-Enabled Prediction, Inference, and Analysis: physics-informed statistical learning.