variational-autoencoder

9 projects share this GitHub topic

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bayesian-machine-learning

Notebooks about Bayesian methods for machine learning

continual-learning

PyTorch implementation of various methods for continual learning (XdG, EWC, SI, LwF, FROMP, DGR, BI-R, ER,…

Deep probabilistic analysis of single-cell and spatial omics data

"Deep Generative Modeling": Introductory Examples

RQ-VAE-Recommender

[Pytorch] Generative retrieval model using semantic IDs from "Recommender Systems with Generative Retrieval"

focal-frequency-loss

[ICCV 2021] Focal Frequency Loss for Image Reconstruction and Synthesis

This repository contains model-free deep reinforcement learning algorithms implemented in Pytorch

Open-AI's DALL-E for large scale training in mesh-tensorflow.

NeuralDialog-CVAE

Tensorflow Implementation of Knowledge-Guided CVAE for dialog generation ACL 2017. It is released by…

🔗 Related families

generative-adversarial-network 69 generative-models 38 vae 12 gan 101 bayesian-methods 5 gaussian-processes 6 artificial-neural-networks 18 continual-learning 16

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