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probabilistic-neural-network

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cambridge-mlg / DUN

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Code for "Depth Uncertainty in Neural Networks" (https://arxiv.org/abs/2006.08437)

machine-learning deep-learning reproducible-research pytorch uncertainty neural-networks expectation-maximization uncertainty-neural-networks bayesian-inference uncertainty-quantification variational-inference bayesian-neural-networks robustness neural-architecture-search bayesian-deep-learning probabilistic-inference reproducible-paper probabilistic-neural-network learnt-depth network-depths
  • Updated Oct 3, 2023
  • Jupyter Notebook

Frightera / Sample-Machine-Learning-Projects

Star 38

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.

natural-language-processing neural-network word2vec generative-adversarial-network autoencoder ensemble-learning transfer-learning nlp-machine-learning bert ensemble-classifier cifar-10 random-forest-classifier wordtovec probabilistic-neural-network resnet50 tensorflow-hub neural-network-from-scratch covid-19 deep-ensemble
  • Updated May 3, 2022
  • Jupyter Notebook

RezaSaadatyar / Machine-Learning-with-MATLAB

Star 0

This repository contains a MATLAB-based Machine Learning Software (MLS) offers advanced biomedical signal processing with an intuitive GUI for analyzing EEG, ECG, and EMG. Features include noise filtering, feature extraction, dimensionality reduction, and customizable machine learning algorithms for tailored classification and analysis.

specificity accuracy bayesian support-vector-machine sensitivity-analysis multi-layer-perceptron decision-tree principal-component-analysis precision anova mutual-information radial-basis-function extreme-learning-machine linear-discriminant-analysis f-score k-nearest-neighbors ttest learning-vector-quantization probabilistic-neural-network matthews-correlation-coefficient
  • Updated Mar 5, 2025
  • MATLAB

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