Deep probabilistic analysis of single-cell and spatial omics data
Efficient Graph Generation with Graph Recurrent Attention Networks, Deep...
Papers and resources on Controllable Generation using Diffusion Models, ...
Pytorch implementation of stochastically quantized variational autoencod...
[NeurIPS-2023] Annual Conference on Neural Information Processing Systems
Implementation of NeurIPS 19 paper: Paraphrase Generation with Latent Ba...
Unofficial Pytorch Implementation of WaveGrad2
Neural Relation Understanding: neural cardinality estimators for tabular...
PyTorch implementation of DiffRoll, a diffusion-based generative automat...
PyTorch implementation of the paper "NanoFlow: Scalable Normalizing Flow...
Roundtrip: density estimation with deep generative neural networks
State-of-the-art neural cardinality estimators for join queries
Implementation of NeurIPS 20 paper: Latent Template Induction with Gumbe...
Kernel Change-point Detection with Auxiliary Deep Generative Models (ICL...
A minimal pytorch implementation of VAE, IWAE, MIWAE