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Search results for pytorch uncertainty
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30 search results found
Pytorch Forecasting
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3,439
Time series forecasting with PyTorch
Bayesian Neural Networks
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1,633
Pytorch implementations of Bayes By Backprop, MC Dropout, SGLD, the Local Reparametrization Trick, KF-Laplace, SG-HMC and more
Monoloco
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338
A 3D vision library from 2D keypoints: monocular and stereo 3D detection for humans, social distancing, and body orientation.
Pytorch Classification Uncertainty
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235
This repo contains a PyTorch implementation of the paper: "Evidential Deep Learning to Quantify Classification Uncertainty"
Pytorch Ensembles
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232
Pitfalls of In-Domain Uncertainty Estimation and Ensembling in Deep Learning, ICLR 2020
Ups
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188
"In Defense of Pseudo-Labeling: An Uncertainty-Aware Pseudo-label Selection Framework for Semi-Supervised Learning" by Mamshad Nayeem Rizve, Kevin Duarte, Yogesh S Rawat, Mubarak Shah (ICLR 2021)
Conformal_classification
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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).
Evidential Deep Learning
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157
Learn fast, scalable, and calibrated measures of uncertainty using neural networks!
Deep Kernel Transfer
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142
Official pytorch implementation of the paper "Bayesian Meta-Learning for the Few-Shot Setting via Deep Kernels" (NeurIPS 2020)
Torch Uncertainty
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132
Uncertainty for deep learning models in PyTorch 🌱
Wtal Uncertainty Modeling
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122
Official Pytorch Implementation of 'Weakly-supervised Temporal Action Localization by Uncertainty Modeling' (AAAI-21)
Quicknat_pytorch
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99
PyTorch Implementation of QuickNAT and Bayesian QuickNAT, a fast brain MRI segmentation framework with segmentation Quality control using structure-wise uncertainty
Monorun
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88
[CVPR'21] MonoRUn: Monocular 3D Object Detection by Reconstruction and Uncertainty Propagation
Attentive Neural Processes
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81
implementing "recurrent attentive neural processes" to forecast power usage (w. LSTM baseline, MCDropout)
Attentive Neural Processes
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79
implementing "recurrent attentive neural processes" to forecast power usage (w. LSTM baseline, MCDropout)
Data Efficient Reinforcement Learning With Probabilistic Model Predictive Control
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76
Unofficial Implementation of the paper "Data-Efficient Reinforcement Learning with Probabilistic Model Predictive Control", applied to gym environments
Dun
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52
Code for "Depth Uncertainty in Neural Networks" (https://arxiv.org/abs/2006.08437)
Spatial Smoothing
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51
(ICML 2022) Official PyTorch implementation of “Blurs Behave Like Ensembles: Spatial Smoothings to Improve Accuracy, Uncertainty, and Robustness”.
Causal Gen
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41
(ICML 2023) High Fidelity Image Counterfactuals with Probabilistic Causal Models
Im2im Uq
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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.
Gps Augment
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27
Simple but high-performing method for learning a policy of test-time augmentation
Oodretrieval
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23
Detection and Retrieval of Out-of-Distribution Objects in Semantic Segmentation
Trssl
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20
"Towards Realistic Semi-Supervised Learning" by Mamshad Nayeem Rizve, Navid Kardan, Mubarak Shah (ECCV 2022)
Torchuq
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20
A library for uncertainty quantification based on PyTorch
Utopic
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11
Uncertainty-aware Overlap Prediction Network for Partial Point Cloud Registration
Pddp
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8
WIP implementation of Probabilistic Differential Dynamic Programming in PyTorch
Unreasonable_effective_der
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7
Supplementary material to reproduce "The Unreasonable Effectiveness of Deep Evidential Regression"
Mder
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7
Supplementary material to reproduce "Multivariate Deep Evidential Regression"
Pytorch_bayesian_unet
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5
Migrate to PyTorch. Re-implementation of Bayesian Convolutional Neural Networks (BCNNs)
Hypernetensemble
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5
Hypernetwork-Ensemble Learning of Segmentation Probability for Medical Image Segmentation with Ambiguous Labels
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Machine Learning Pytorch (2,934)
Dataset Pytorch (1,848)
Pytorch Convolutional Neural Networks (1,777)
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