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Search results for python uncertainty neural networks

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15 search results found

Bayesian Torch ⭐ 396

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

Pytorch Classification Uncertainty ⭐ 235

This repo contains a PyTorch implementation of the paper: "Evidential Deep Learning to Quantify Classification Uncertainty"

Masksembles ⭐ 90

Official repository for the paper "Masksembles for Uncertainty Estimation" (CVPR2021).

Deep Ensembles Uncertainty ⭐ 82

My implementation of the paper "Simple and Scalable Predictive Uncertainty estimation using Deep Ensembles"

Code to accompany the paper 'Improving model calibration with accuracy versus uncertainty optimization'.

Monodepth Uncertainty ⭐ 39

Inferring distributions over depth from a single image, IROS 2019

Uncertainty Wizard ⭐ 39

Uncertainty-Wizard is a plugin on top of tensorflow.keras, allowing to easily and efficiently create uncertainty-aware deep neural networks. Also useful if you want to train multiple small models in parallel.

Nlp Uncertainty Zoo ⭐ 32

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

Mc Dropout Mnist ⭐ 12

Implementation of MNIST experiment for Monte Carlo Dropout from http://mlg.eng.cam.ac.uk/yarin/PDFs/NIPS_2015_baye

Mimo Unet ⭐ 10

PyTorch implementation of Probabilistic MIMO U-Net

A CNN based Depth, Optical Flow, Flow Uncertainty and Camera Pose Prediction pipeline

Robust Deep Learning ⭐ 9

Train your model from scratch or fine-tune a pretrained model using the losses provided in this library to improve out-of-distribution detection and uncertainty estimation performances. Calibrate your model to produce enhanced uncertainty estimations. Detect out-of-distribution data using the defined score type and threshold.

Rio Paper ⭐ 8

Code and supporting materials for the ICLR 2020 RIO paper

[WACV'22] Official implementation of "HHP-Net: A light Heteroscedastic neural network for Head Pose estimation with uncertainty"

NOMU: Neural Optimization-based Model Uncertainty

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