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Code for "Depth Uncertainty in Neural Networks" (https://arxiv.org/abs/2006.08437)
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 Neural Network
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
Initial Condition Solver for Tidal Evolution
Out-of-Distribution Detection for Text Classification Using Stochastic Attention and the Deep Deterministic Uncertainty Framework
You know I'm all about the Bayes!
knn (k-nearest neighbor), pnn (probabilistic neural network) classifiers