Variational Autoencoder and Conditional Variational Autoencoder on MNIST in PyTorch

Nimfa: Nonnegative matrix factorization in Python

GIF is a photorealistic generative face model with explicit 3D geometric and photometric control.

Official implementation of "DiffuseVAE: Efficient, Controllable and High-Fidelity Generation from Low-Dimensional Latents"

Code for "Controllable Unsupervised Text Attribute Transfer via Editing Entangled Latent Representation" (NeurIPS 2019)

Pytorch Implementation of our ACL 2020 Paper "Reasoning with Latent Structure Refinement for Document-Level Relation Extraction"

Implementation of NeurIPS 19 paper: Paraphrase Generation with Latent Bag of Words

Official implementation of the paper Stochastic Latent Residual Video Prediction

Generative Query Network for rendering 3D scenes from 2D images

Official implementation of our ECCV paper "StretchBEV: Stretching Future Instance Prediction Spatially and Temporally"

SLAMP: Stochastic Latent Appearance and Motion Prediction

Code and released pre-trained model for our ACL 2022 paper: "DialogVED: A Pre-trained Latent Variable Encoder-Decoder Model for Dialog Response Generation"

Neural State-Space Models and Latent Dynamics Functions in PyTorch for High-Dimensional Forecasting

Code for the paper "Bilateral Variational Autoencoder for Collaborative Filtering", WSDM'21

Latent Normalizing Flows for Many-to-Many Cross Domain Mappings (ICLR 2020)

Remaining Useful Life estimation and sensor data generation by VAE and diffusion model on C-MAPSS dataset.

A Python package for General Graphical Lasso computation

Learning Latent Forests for Medical Relation Extraction (authors' PyTorch implementation for the IJCAI20 paper)

PyTorch implementation of ACL paper https://arxiv.org/abs/1906.02656

Transformer-based Models for Unsupervised Anomaly Segmentation in Brain MR Images