PyTorch implementation of slicing adversarial network (SAN)
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Updated
May 16, 2024 - Python
PyTorch implementation of slicing adversarial network (SAN)
A General Causal Inference Framework by Encoding Generative Modeling
Deep probabilistic analysis of single-cell and spatial omics data
Code, documentation, and tutorial for the DGD model trained on bulk RNA-Seq data.
Papers and resources on Controllable Generation using Diffusion Models, including ControlNet, DreamBooth, T2I-Adapter, IP-Adapter.
𝒫robabilistic modeling of RNA velocity ⬱
Roundtrip: density estimation with deep generative neural networks
Landscape of ML/DL performance evaluation metrics
Exploring the conformational ensembles of protein-protein complexes with transformer-based generative neural networks
mirror of the MeDIL Python package for causal modeling
Official code repository for the paper: Removing Structured Noise using Diffusion Models
PyTorch implementation of DiffRoll, a diffusion-based generative automatic music transcription (AMT) model
[NeurIPS-2023] Annual Conference on Neural Information Processing Systems
A minimal Pytorch Implementation of Stochastically Quantized Variational AutoEncoder (SQ-VAE) by Sony
Hierarchical generative and regressive machine learning for next generation materials screening
A pytorch implementation for FACE: A Normalizing Flow based Cardinality Estimator
We got a stew going!
Efficient Graph Generation with Graph Recurrent Attention Networks, Deep Generative Model of Graphs, Graph Neural Networks, NeurIPS 2019
Reproducible material for A Wasserstein GAN with gradient penalty for 3D porous media generation.
Kernel Change-point Detection with Auxiliary Deep Generative Models (ICLR 2019 paper)
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