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12 search results found

Gen.jl ⭐ 1,758

A general-purpose probabilistic programming system with programmable inference

Quicknat_pytorch ⭐ 99

PyTorch Implementation of QuickNAT and Bayesian QuickNAT, a fast brain MRI segmentation framework with segmentation Quality control using structure-wise uncertainty

Awesome Machine Learning ⭐ 84

📖 List of some awesome university courses for Machine Learning! Feel free to contribute!

Dl Uncertainty ⭐ 80

"What Uncertainties Do We Need in Bayesian Deep Learning for Computer Vision?", NIPS 2017 (unofficial code).

Pytorch implementation of "What Uncertainties Do We Need in Bayesian Deep Learning for Computer Vision?"

Marching Primitives ⭐ 60

[CVPR2023 Highlight] Marching-Primitives: Shape Abstraction from Signed Distance Function

Mapillary_sls ⭐ 37

Mapillary Street-level Sequences Dataset

Group Emotion Recognition ⭐ 30

Group Emotion Recognition using deep neural networks and Bayesian classifiers.

My Implementation Of What Uncertainties Do We Need In Bayesian Deep Learning For Computer Vision ⭐ 24

Pytorch implementation of classification task in What Uncertainties Do We Need in Bayesian Deep Learning for Computer Vision (simple version)

Nn Common Modules ⭐ 22

Pytorch Implementations of Common modules, blocks and losses for CNNs specifically for segmentation models

[MICCAI 2022 Best Paper Finalist] Bayesian Pseudo Labels: Expectation Maximization for Robust and Efficient Semi Supervised Segmentation

Advanced Machine Learning ⭐ 5

It covers deep learning, reinforcement learning, natural language understanding, computer vision and Bayesian methods. Touch base with the real-world problems. By National Research University Higher School of Economics

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