Variational Autoencoder and Conditional Variational Autoencoder on MNIST in PyTorch
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Apr 18, 2025 - Python
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latent-variable-models
Here are 44 public repositories matching this topic...
Nimfa: Nonnegative matrix factorization in Python
embeddings matrix-factorization latent-variable-models latent-features nonnegative-matrix-factorization
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Feb 12, 2021 - Python
GIF is a photorealistic generative face model with explicit 3D geometric and photometric control.
generative-adversarial-network gan gans latent-variable-models generative-models conditonal-gan generative-interpretable-faces photorealistic-faces photorealism
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Sep 13, 2022 - Python
Official implementation of "DiffuseVAE: Efficient, Controllable and High-Fidelity Generation from Low-Dimensional Latents"
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Sep 10, 2022 - Python
Pytorch Implementation of our ACL 2020 Paper "Reasoning with Latent Structure Refinement for Document-Level Relation Extraction"
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Dec 1, 2020 - Python
Code for "Controllable Unsupervised Text Attribute Transfer via Editing Entangled Latent Representation" (NeurIPS 2019)
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Oct 28, 2019 - Python
Implementation of NeurIPS 19 paper: Paraphrase Generation with Latent Bag of Words
natural-language-generation latent-variable-models gumbel-softmax paraphrase-generation deep-generative-model
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Oct 9, 2021 - Python
Code for "Reasoning to Learn from Latent Thoughts"
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Mar 28, 2025 - Python
Official implementation of the paper Stochastic Latent Residual Video Prediction
deep-learning pytorch generative-model stochastic vae latent-variable-models video-prediction icml-2020
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Mar 29, 2022 - Python
Neural State-Space Models and Latent Dynamics Functions in PyTorch for High-Dimensional Forecasting
time-series neural-network torch pytorch generative-model ssm latent-variable-models state-space-model neural-ssm neural-state-space-models
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Dec 14, 2024 - Python
Generative Query Network for rendering 3D scenes from 2D images
neural-network rendering scene lstm convolutional-neural-networks deepmind unsupervised-learning latent-variable-models gqn
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Aug 29, 2018 - Python
Official implementation of our ECCV paper "StretchBEV: Stretching Future Instance Prediction Spatially and Temporally"
deep-learning pytorch stochastic vae segmentation autonomous-driving autonomous-vehicles latent-variable-models instance-segmentation generative-models state-space-models future-prediction eccv2022
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Oct 6, 2022 - Python
SLAMP: Stochastic Latent Appearance and Motion Prediction
deep-learning pytorch generative-model stochastic vae optical-flow autonomous-driving latent-variable-models video-prediction future-prediction iccv2021
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Apr 10, 2023 - Python
Code and released pre-trained model for our ACL 2022 paper: "DialogVED: A Pre-trained Latent Variable Encoder-Decoder Model for Dialog Response Generation"
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Dec 23, 2022 - Python
Remaining Useful Life estimation and sensor data generation by VAE and diffusion model on C-MAPSS dataset.
time-series pytorch vae latent-variable-models triplet-loss variational-autoencoder remaining-useful-life latent-space diffusion-models c-mapss turbofan-engine ddpm classifier-free-guidance conditional-data-generation preventive-maintenance
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May 17, 2024 - Python
Code for the paper "Bilateral Variational Autoencoder for Collaborative Filtering", WSDM'21
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Apr 1, 2023 - Python
A Python package for General Graphical Lasso computation
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Feb 28, 2025 - Python
Latent Normalizing Flows for Many-to-Many Cross Domain Mappings (ICLR 2020)
image-to-text text-to-image latent-variable-models normalizing-flows conditional-vae generative-models vision-and-language multimodal-deep-learning
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May 12, 2022 - Python
PyTorch implementation of ACL paper https://arxiv.org/abs/1906.02656
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Jun 12, 2023 - Python
Learning Latent Forests for Medical Relation Extraction (authors' PyTorch implementation for the IJCAI20 paper)
natural-language-processing pytorch information-extraction latent-variable-models relation-extraction graph-neural-networks
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Oct 31, 2020 - Python
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