Popular GitHub Repositories for Latent Variable Models

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"

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

Official implementation of the paper Stochastic Latent Residual Video Prediction

Bayesian Methods for Machine Learning

[Paperlist] Awesome paper list of controllable text generation via latent auto-encoders. Contributions of any kind are welcome.

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

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

Latent Differential Equations models in Julia.

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

Code for TACL 2022 paper on Data-to-text Generation with Variational Sequential Planning

Implementation of the Gaussian Process Latent Variable Model.

Variational Inference for Multiply-Reported social network data https://doi.org/10.1093/jrsssa/qnac004

(AIWAE) Improving importance weighted auto-encoders with annealed importance sampling

Re-implementation of "Latent Variable Dialogue Models and their Diversity" paper by Kris Cao & Stephen Clark. https://arxiv.org/abs/1702.05962

Implemented this novel architecture (in pytorch) as part of my research study for the problem I focused on, during my work as a Research Intern at Language Technology Research Center, IIIT Hyderabad, India.

This project aims to investigate the similarities and differences between different latent variable models namely VAE and AVB.

Fix the problem of structural equation model in statistical learning perspectives