Deep probabilistic analysis of single-cell and spatial omics data
Efficient Graph Generation with Graph Recurrent Attention Networks, Deep Generative Model of Graphs, Graph Neural Networks, NeurIPS 2019
NU-Wave: A Diffusion Probabilistic Model for Neural Audio Upsampling @ INTERSPEECH 2021
Geometric Latent Diffusion Models for 3D Molecule Generation
Pytorch implementation of stochastically quantized variational autoencoder (SQ-VAE)
[NeurIPS-2023] Annual Conference on Neural Information Processing Systems
Implementation of NeurIPS 19 paper: Paraphrase Generation with Latent Bag of Words
Unofficial Pytorch Implementation of WaveGrad2
Neural Relation Understanding: neural cardinality estimators for tabular data
PyTorch implementation of slicing adversarial network (SAN)
OCR-VQGAN, a discrete image encoder (tokenizer and detokenizer) for figure images in Paper2Fig100k dataset. Implementation of OCR Perceptual loss for clear text-within-image generation. Fork from VQGAN in CompVis/taming-transformers
PyTorch implementation of DiffRoll, a diffusion-based generative automatic music transcription (AMT) model
State-of-the-art neural cardinality estimators for join queries
A General Causal Inference Framework by Encoding Generative Modeling
PyTorch implementation of the paper "NanoFlow: Scalable Normalizing Flows with Sublinear Parameter Complexity." (NeurIPS 2020)
Roundtrip: density estimation with deep generative neural networks
Kernel Change-point Detection with Auxiliary Deep Generative Models (ICLR 2019 paper)
Implementation of NeurIPS 20 paper: Latent Template Induction with Gumbel-CRFs
An implementation of Restricted Boltzmann Machine in Pytorch
𝒫robabilistic modeling of RNA velocity ⬱
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