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18 search results found
Pytorch Classification Uncertainty
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235
This repo contains a PyTorch implementation of the paper: "Evidential Deep Learning to Quantify Classification Uncertainty"
Nn_calibration
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133
Calibration of Convolutional Neural Networks
Exgan
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74
Adversarial Generation of Extreme Samples
Gaug
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65
AAAI'21: Data Augmentation for Graph Neural Networks
Probabilistic Circuits
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38
A curated collection of papers on probabilistic circuits, computational graphs encoding tractable probability distributions.
Data Science And Machine Learning Resources
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37
List of Data Science and Machine Learning Resource that I frequently use
Punny_captions
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31
An implementation of the NAACL 2018 paper "Punny Captions: Witty Wordplay in Image Descriptions".
Nflscrapr Models
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31
Code to build and test the expected points and win probability models in nflscrapR
Mistnet
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19
stochastic neural networks in R
Naive Bayes Gibbs Sampler
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18
Gibbs sampler for for a Naive Bayes document classifier
Stochastic Blockmodel
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15
Stochastic Block Models - generate, detect, and recover
Freq E
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14
Class frequency estimation software package
Curriculum Dropout
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13
Code for the paper "Curriculum Dropout", ICCV 2017
Sse Pt
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13
Stochasticwassersteinbarycenters
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9
Implementation of the paper 'Stochastic Wasserstein Barycenters'
Syntaxnet
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9
Code and research paper for a project on modeling human acquisition of syntax using transitional probabilities.
Ccg Parsing 2015
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8
Ordinal Classification
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7
Implementation of Oridinal Classification Paper using Logistic Regression and SVM
Bayesiandeeplearning
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6
Overview of Bayesian Deep Learning
Latticetm
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5
Code to train a translation model using speech recognition lattices and their written translations.
Randp
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5
Ugraph
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5
Code and data for the Clustering Uncertain Graphs paper
Geostatistics Tutorial
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5
tutorial for HYD273 students
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1-18 of 18 search results
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