[Pytorch] Generative retrieval model based on RQ-VAE from "Recommender Systems with Generative Retrieval"
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Updated
Jun 17, 2024 - Python
[Pytorch] Generative retrieval model based on RQ-VAE from "Recommender Systems with Generative Retrieval"
[Pytorch] Minimal implementation of a Variational Autoencoder (VAE) with Categorical Latent variables.
Deep and Machine Learning for Microscopy
A Collection of Variational Autoencoders (VAE) in PyTorch.
GANs, AEs, and VAEs for generating synthetic images
Unsupervised speech enhancement using DVAEs
Easy generative modeling in PyTorch.
Research on Material Science using Neural Networks black box approach
Code for the Paper: "Conditional Variational Capsule Network for Open Set Recognition", Y. Guo, G. Camporese, W. Yang, A. Sperduti, L. Ballan, ICCV, 2021.
Official implementation of Dynamical VAEs
Smooth Variational Graph Embeddings for Efficient Neural Architecture Search
Code for "SCHA-VAE: Hierarchical Context Aggregation for Few-Shot Generation" @ ICML 2022
Use federated learning to train variational auto-encoders on disjoint distributions
Computer code collated for use with Artificial Intelligence Engines book by JV Stone
Orgainzed Digital Intelligent Network (O.D.I.N)
Generate classical paintings using Variational Autoencoders (VAEs).
Official PyTorch implementation of A Quaternion-Valued Variational Autoencoder (QVAE).
Investigative project for my CST Part III Probabilistic Machine Learning (LE49) module
Code for the ACL 2020 paper ``On the Encoder-Decoder Incompatibility in Variational Text Modeling and Beyond``
Deep active inference agents using Monte-Carlo methods
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