Code for "Depth Uncertainty in Neural Networks" (https://arxiv.org/abs/2006.08437)
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Updated
Oct 3, 2023 - Jupyter Notebook
Code for "Depth Uncertainty in Neural Networks" (https://arxiv.org/abs/2006.08437)
Code to accompany the paper 'Improving model calibration with accuracy versus uncertainty optimization'.
Sum-product networks in Julia.
Some example projects that was made using Tensorflow (mostly). This repository contains the projects that I've experimented-tried when I was new in Deep Learning.
probabilistic logic programming language for statistical modeling
Probabilistic Neural Network
Probabilistic Neural Network, Machine Learning Telkom University
A Probabilistic Neural Network (PNN) algorithm for classification of Pima Indians Diabetes database
Facial Expression Prediction using Information Theoretic Learning
Utility for classifying Fingerprints as Fake or Real using PNN Classifier
Out-of-Distribution Detection for Text Classification Using Stochastic Attention and the Deep Deterministic Uncertainty Framework
Initial Condition Solver for Tidal Evolution
knn (k-nearest neighbor), pnn (probabilistic neural network) classifiers
You know I'm all about the Bayes!
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