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Search results for pytorch uncertainty quantification

uncertainty-quantification x

18 search results found

Bayesian Torch ⭐ 396

A library for Bayesian neural network layers and uncertainty estimation in Deep Learning extending the core of PyTorch

Deephyper ⭐ 253

DeepHyper: Scalable Asynchronous Neural Architecture and Hyperparameter Search for Deep Neural Networks

Conformal_classification ⭐ 159

Wrapper for a PyTorch classifier which allows it to output prediction sets. The sets are theoretically guaranteed to contain the true class with high probability (via conformal prediction).

Deep Kernel Transfer ⭐ 142

Official pytorch implementation of the paper "Bayesian Meta-Learning for the Few-Shot Setting via Deep Kernels" (NeurIPS 2020)

Torch Uncertainty ⭐ 132

Uncertainty for deep learning models in PyTorch 🌱

Code for "Depth Uncertainty in Neural Networks" (https://arxiv.org/abs/2006.08437)

Spatial Smoothing ⭐ 51

(ICML 2022) Official PyTorch implementation of “Blurs Behave Like Ensembles: Spatial Smoothings to Improve Accuracy, Uncertainty, and Robustness”.

Conffusion ⭐ 37

Official Implementation for the "Conffusion: Confidence Intervals for Diffusion Models" paper.

Lightning Uq Box ⭐ 35

Lightning-UQ-Box: Uncertainty Quantification for Neural Networks with PyTorch and Lightning

This repository contains an official implementation of LPBNN.

Conformal Risk ⭐ 33

Conformal prediction for controlling monotonic risk functions. Simple accompanying PyTorch code for conformal risk control in computer vision and natural language processing.

Nlp Uncertainty Zoo ⭐ 32

Model zoo for different kinds of uncertainty quantification methods used in Natural Language Processing, implemented in PyTorch.

Im2im Uq ⭐ 29

Image-to-image regression with uncertainty quantification in PyTorch. Take any dataset and train a model to regress images to images with rigorous, distribution-free uncertainty quantification.

A library for uncertainty quantification based on PyTorch

Vatl4pose Wacv2024 ⭐ 19

[WACV2024] Official PyTorch implimentation for ``Active Transfer Learning for Efficient Video-Specific Human Pose Estimation''

ProbVLM: Probabilistic Adapter for Frozen Vision-Language Models

Official repo to paper

Uncertaintyawarecycleconsistency ⭐ 5

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

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