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NeuralProcesses
Neural Processes implementation for 1D regressionBasisVAE
PyTorch implementation of BasisVAE: Translation-invariant feature-level clustering with Variational Autoencodersc-GPLVM
PyTorch implementation of the Covariate-GPLVMNeuralDecomposition
PyTorch implementation of the paper "Neural Decomposition: Functional ANOVA with Variational Autoencoders"NUTS
HMC No-U-Turn sampler (NUTS) implementation in RmixtureModels
MCMC for Dirichlet Process mixture modelswebsite
y10k-prediction
Code for our paper: Predicting quantitative traits from genome and phenome with near perfect accuracyrarity
Implementarion of Rarity: Discovering rare cell populations from single-cell imaging datashared-private-multimodalVAE
Code for our paper "Disentangling shared and private latent factors in multimodal Variational Autoencoders"Love Open Source and this site? Check out how you can help us