jxzhangjhu Goto Github PK

ucate

Uncertainty in Conditional Average Treatment Effect Estimation

ufel

Out-of-Distribution Detection Using Layerwise Uncertainty in Deep Neural Networks

uncerguidedi2i

Uncertainty Guided Progressive GANs for Medical Image Translation

uncertainties_mt_eval

code and data for the paper: Better Uncertainty Quantification for Machine Translation Evaluation

uncertainty-baselines

High-quality implementations of standard and SOTA methods on a variety of tasks.

uncertainty-toolbox

A python toolbox for predictive uncertainty quantification, calibration, metrics, and visualization

uncertainty_transformers

uncertaintyawarecycleconsistency

Building blocks for uncertainty-aware cycle consistency presented at NeurIPS'21.

uncertaintyestimation

Uncertainty Estimation Using Deep Neural Network and Gradient Boosting Methods

understanding-bayesian-classification

On Uncertainty, Tempering, and Data Augmentation in Bayesian Classification

unified-generative-zoo

Code for "Unifying Diffusion Models' Latent Space, with Applications to CycleDiffusion and Guidance"

unilm

Large-scale Self-supervised Pre-training Across Tasks, Languages, and Modalities

unreasonable_effective_der

Supplementary material to reproduce "The Unreasonable Effectiveness of Deep Evidential Regression"

unsupervised-image-transfer-and-uq

unsupervised-out-of-distribution-detection-by-maximum-classifier-discrepancy

Reproducing experimental results of OOD-by-MCD [Yu and Aizawa et al. ICCV 2019]

uq360

Uncertainty Quantification 360 (UQ360) is an extensible open-source toolkit that can help you estimate, communicate and use uncertainty in machine learning model predictions.

uqgan

UQGAN: A Unified Model for Uncertainty Quantification of Deep Classifiers trained via Conditional GANs

uqpy

UQpy (Uncertainty Quantification with python) is a general purpose Python toolbox for modeling uncertainty in physical and mathematical systems.

ust

Uncertainty-aware Self-training

vbpi-nf

Code for improved variational Bayesian phylogenetic inference with normalizing flows

vera

vflow

code for "VFlow: More Expressive Generative Flows with Variational Data Augmentation"

video-diffusion-pytorch

Implementation of Video Diffusion Models, Jonathan Ho's new paper extending DDPMs to Video Generation - in Pytorch

vie

Code and example dataset for "Variational Disentanglement for Rare Event Modeling"

voice2series-reprogramming

ICML 21 - Voice2Series: Reprogramming Acoustic Models for Time Series Classification

vqr

Vector Quantile Regression

wasserstein2benchmark

A set of tests for evaluating large-scale algorithms for Wasserstein-2 transport maps computation (NeurIPS 2021)

weatherdiffusion

Code for "Restoring Vision in Adverse Weather Conditions with Patch-Based Denoising Diffusion Models" [arXiv preprint 2207.14626, 2022]

wilds

A machine learning benchmark of in-the-wild distribution shifts, with data loaders, evaluators, and default models.

wnpg

implementation of Wasserstein Natural Policy Gradients