There are 4 repositories under deep-generative-model topic.
Deep probabilistic analysis of single-cell omics data
Collection of papers and resources on Controllable Generation using Diffusion Models, including ControlNet, DreamBooth, T2I-Adapter, IP-Adapter.
Implementation of NeurIPS 19 paper: Paraphrase Generation with Latent Bag of Words
[NeurIPS-2023] Annual Conference on Neural Information Processing Systems
Neural Relation Understanding: neural cardinality estimators for tabular data
Implementation of NeurIPS 20 paper: Latent Template Induction with Gumbel-CRFs
Kernel Change-point Detection with Auxiliary Deep Generative Models (ICLR 2019 paper)
A minimal pytorch implementation of VAE, IWAE, MIWAE
An implementation of Restricted Boltzmann Machine in Pytorch
𝒫robabilistic modeling of RNA velocity ⬱
We got a stew going!
A minimal Pytorch Implementation of Stochastically Quantized Variational AutoEncoder (SQ-VAE) by Sony
[AAAI20] TensorFlow implementation of the Collaborative Sampling in Generative Adversarial Networks
A pytorch implementation for FACE: A Normalizing Flow based Cardinality Estimator
Landscape of ML/DL performance evaluation metrics
Deep Learning And Applied Artificial Intelligence Project 2019/2020 - Molecular Synthesis & Reconstruction
The wonderful and illustrative notes on Deep Learning take will take a person from Zero to Hero.
Code, documentation, and tutorial for the DGD model trained on bulk RNA-Seq data.