R package implementing Bayesian NMF using various models and prior structures.
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Updated
Jul 15, 2024 - R
R package implementing Bayesian NMF using various models and prior structures.
Bayesian Factorization with Side Information in C++ with Python wrapper
Blazing fast topic modelling for short texts.
Este projeto utiliza análise Bayesiana para modelar o preço de venda de carros com base em diversas variáveis, como ano de fabricação, quilometragem rodada e tipo de transmissão. Após a leitura e limpeza dos dados, o modelo de regressão é construído utilizando amostragem MCMC para obter distribuições posteriores dos parâmetros.
Repositório para apresentação de código desenvolvido pelo grupo 2 para a UC Algoritmos Avançados para a Bioinformática do Mestrado em Bioinformática, ano lectivo 23-24.
Gibby is a Python package designed to find the motif of a transcription factor de novo based on ChIP-seq data.
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Low-level primitives for collapsed Gibbs sampling in python and C++
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Gibbs samplers for inferring latent variables and learning the parameters of Bayesian hierarchical models.
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AeMCMC is a Python library that automates the construction of samplers for Aesara graphs representing statistical models.
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