Deep probabilistic analysis of single-cell and spatial omics data
-
Updated
May 13, 2024 - Python
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
Papers and resources on Controllable Generation using Diffusion Models, including ControlNet, DreamBooth, T2I-Adapter, IP-Adapter.
NU-Wave: A Diffusion Probabilistic Model for Neural Audio Upsampling @ INTERSPEECH 2021
Pytorch implementation of stochastically quantized variational autoencoder (SQ-VAE)
Geometric Latent Diffusion Models for 3D Molecule Generation
[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 DiffRoll, a diffusion-based generative automatic music transcription (AMT) model
PyTorch implementation of the paper "NanoFlow: Scalable Normalizing Flows with Sublinear Parameter Complexity." (NeurIPS 2020)
Roundtrip: density estimation with deep generative neural networks
State-of-the-art neural cardinality estimators for join queries
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
Kernel Change-point Detection with Auxiliary Deep Generative Models (ICLR 2019 paper)
Implementation of NeurIPS 20 paper: Latent Template Induction with Gumbel-CRFs
A General Causal Inference Framework by Encoding Generative Modeling
PyTorch implementation of slicing adversarial network (SAN)
An implementation of Restricted Boltzmann Machine in Pytorch
Add a description, image, and links to the deep-generative-model topic page so that developers can more easily learn about it.
To associate your repository with the deep-generative-model topic, visit your repo's landing page and select "manage topics."