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Search results for python latent variable models

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20 search results found

Vae Cvae Mnist ⭐ 508

Variational Autoencoder and Conditional Variational Autoencoder on MNIST in PyTorch

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

Diffusevae ⭐ 149

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

Dgm_latent_bow ⭐ 106

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

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

SLAMP: Stochastic Latent Appearance and Motion Prediction

Dialogved ⭐ 30

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

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

A Python package for General Graphical Lasso computation

Cross Lingual Struct Flow ⭐ 23

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

Neural Scene Representation And Rendering ⭐ 15

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

Transformers_unsupervised_anomaly_segmentation ⭐ 14

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

Torch Neural Ssm ⭐ 14

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

Stretchbev ⭐ 13

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

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

ALMOND: Adaptive Latent Modeling and Optimization via Neural Networks and Langevin Diffusion

Cluttered-Scene 6D Grasping with Latent Plans

Gait-phase Estimation Module

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

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