variational-autoencoder
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Collection of generative models in Tensorflow
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Aug 8, 2022 - Python
Unifying Variational Autoencoder (VAE) implementations in Pytorch (NeurIPS 2022)
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Jul 31, 2024 - Python
Notebooks about Bayesian methods for machine learning
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Mar 6, 2024 - Jupyter Notebook
PyTorch implementation of various methods for continual learning (XdG, EWC, SI, LwF, FROMP, DGR, BI-R, ER, A-GEM, iCaRL, Generative Classifier) in three different scenarios.
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May 17, 2025 - Jupyter Notebook
Deep probabilistic analysis of single-cell and spatial omics data
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Jul 18, 2025 - Python
"Deep Generative Modeling": Introductory Examples
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Sep 22, 2024 - Jupyter Notebook
My first Python repo with codes in Machine Learning, NLP and Deep Learning with Keras and Theano
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Dec 6, 2021 - Python
Variational autoencoder implemented in tensorflow and pytorch (including inverse autoregressive flow)
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Apr 24, 2024 - Python
PyTorch implementation of normalizing flow models
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Aug 25, 2024 - Python
Experiments for understanding disentanglement in VAE latent representations
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Feb 2, 2023 - Python
A curated list of awesome work on VAEs, disentanglement, representation learning, and generative models.
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Jul 11, 2021
[ICCV 2021] Focal Frequency Loss for Image Reconstruction and Synthesis
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Aug 21, 2024 - Python
Variational Autoencoder and Conditional Variational Autoencoder on MNIST in PyTorch
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May 30, 2025 - Python
Variational autoencoders for collaborative filtering
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Feb 19, 2018 - Jupyter Notebook
We propose a VAE-LSTM model as an unsupervised learning approach for anomaly detection in time series.
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Nov 21, 2022 - Jupyter Notebook
Tensorflow implementation of variational auto-encoder for MNIST
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Apr 11, 2017 - Python
This repository contains model-free deep reinforcement learning algorithms implemented in Pytorch
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Jul 14, 2019 - Python
Open-AI's DALL-E for large scale training in mesh-tensorflow.
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Feb 12, 2022 - Python
[Pytorch] Generative retrieval model using semantic IDs from "Recommender Systems with Generative Retrieval"
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Mar 17, 2025 - Python
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