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

[NeurIPS-2023] Annual Conference on Neural Information Processing Systems

Pytorch implementation of stochastically quantized variational autoencoder (SQ-VAE)

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

State-of-the-art neural cardinality estimators for join queries

PyTorch implementation of DiffRoll, a diffusion-based generative automatic music transcription (AMT) model

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)

PyTorch implementation of the MIDAS algorithm for single-cell multimodal data integration (Nature Biotechnology 2024).

Implementation for ICLR2024 Oral paper "Unified Generative Modeling of 3D Molecules with Bayesian Flow Networks"

An implementation of Restricted Boltzmann Machine in Pytorch