Jumping across biomedical contexts using compressive data fusion
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Updated
Jun 15, 2016 - Python
Jumping across biomedical contexts using compressive data fusion
Jackstraw Weighted Shrinkage Methods
Evaluating preprocessing methods to predict ethnic distributions using names
Data Analysis on Mental Health.
Latent K-tree Bayesian Networks learner
Match Predictions for Professional League of Legends Matches
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A Mutually-Dependent Hadamard Kernel for Modelling Latent Variable Couplings (ACML 2017)
Time-warped interpolation of latent space
PyTorch implementation of "Variational Autoencoders with Jointly Optimized Latent Dependency Structure" [ICLR 2019]
Pouch latent tree models for multidimensional clustering
Implementation of latent variable models in Julia
Implementation of transfer learning approaches for predictive modeling of anticancer drug sensitivity.
An R package for the Latent Environmental & Genetic InTeraction (LEGIT) model
High-Performance Implementation of Spectral Learning of Latent-Variable PCFGs (Cohen et al., 2013)
A simple Jupyter notebook to visualize data in latent space using dimensionality reduction techniques.
ForneyLab.jl factor node for a nonlinear latent autoregressive model with exogenous input.
An Introduction to Structural Equation Modeling
Coordinate ascent mean-field variational inference (CAVI) using the evidence lower bound (ELBO) to iteratively perform the optimal variational factor distribution parameter updates for clustering.
The Goal of this assignment is to get you familiar with the basics of Bayesian inference in large models with continuous latent variables, and the basics of stochastic variational inference.
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