[ACL 2020] Generating Diverse and Consistent QA pairs from Contexts with Information-Maximizing Hierarchical Conditional VAEs
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Jan 3, 2023 - Python
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conditional-variational-autoencoder
Here are 27 public repositories matching this topic...
Simple and clean implementation of Conditional Variational AutoEncoder (cVAE) using PyTorch
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Oct 23, 2023 - Python
Spatial Temporal Graph Convolutional Networks for Emotion Perception from Gaits
dataset dataset-generation affective-computing graph-convolutional-networks emotion-detection emotion-recognition variational-autoencoder gait conditional-vae gait-analysis gait-recognition graph-convolutional-neural-networks conditional-variational-autoencoder spatial-temporal-action-detection emotion-perception
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Dec 8, 2022 - Python
This will be the first official public release of the VItamin code base. VItamin is a python package for producing fast gravitational wave posterior samples.
data-science machine-learning signal-processing physics open-science virgo gravity ligo gravitational-waves vitamin black-hole neutron-star conditional-variational-autoencoder
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Jul 6, 2021 - Python
Black-box Few-shot Knowledge Distillation
black-box machine-learning computer-vision deep-learning synthetic-images generative-model data-generation transfer-learning knowledge-distillation data-augmentation cvae black-box-model few-shot mixup few-shot-learning conditional-variational-autoencoder few-shot-classification
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Jul 19, 2022 - Python
Labs for 5003 Deep Learning Practice course in summer term 2021 at NYCU.
pytorch dqn resnet backpropagation ddpg ddqn diabetic-retinopathy-detection wgan-gp cdcgan eeg-classification sagan eegnet conditional-variational-autoencoder deepconvnet
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Jan 20, 2022 - Python
A conditional version of the "very deep variational autoencoder" proposed by Rewon Child at OpenAI (2020)
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Oct 31, 2022 - Python
A Supervised VAE Based Gen Model for Human Motion
variational-autoencoder generative-models human-motion human-motion-analysis conditional-variational-autoencoder generative-ai human-motion-generation
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Jun 23, 2025 - Python
PyTorch implementation of various Variational Autoencoder models
pytorch vae mnist-dataset variational-autoencoder conditional-vae celeba-dataset cifar-10 celeba-hq vae-pytorch conditional-variational-autoencoder vae-cnn
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Mar 7, 2024 - Jupyter Notebook
Using conditional variational autoencoders to manipulate the images
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Jul 19, 2023 - Jupyter Notebook
A hands‑on autoencoder lab (AE, VAE, CVAE, VQ‑VAE) for MNIST, Fashion‑MNIST, and CIFAR‑10, with training scripts, visualizations, and a Streamlit demo to compare reconstructions and sampling.
deep-learning pytorch autoencoder variational-autoencoder conditional-variational-autoencoder vector-quantized-variational-autoencoder
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Feb 2, 2026 - Python
Bayesian based machine learning implementations (GMM, VAE & conditional VAE).
clustering mnist expectation-maximization gaussian-mixture-models vae gmm em cvae variational-autoencoder conditional-vae conditional-variational-autoencoder variational-lower-bound e-step m-step
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Feb 20, 2020 - Jupyter Notebook
Machine Learning Applied to Relativistic Heavy Ion Collision
machine-learning tensorflow pytorch equation-of-state convolutional-neural-network heavy-ion-collisions variational-autoencoder quantum-chromodynamics conditional-variational-autoencoder quark-gluon-plasma
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Jun 2, 2025 - Python
Toy example for a Conditional Variational Autoencoder in Keras. Regresses features from automatically generated images. Useful for learning about the concept.
python machine-learning deep-neural-networks deep-learning keras keras-tensorflow variational-autoencoder latent-space conditional-variational-autoencoder green-rectangles red-ellipses
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Sep 27, 2021 - Python
This repository contains code and resources for the CS274E (Deep Generative Models) course project.
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Dec 14, 2025 - C++
ResNet-style Autoencoders: Implementing and training AEs, VAEs, and CVAEs on provided dataset with TSNE visualizations.
python deep-learning mnist autoencoder resnet variational-autoencoder conditional-variational-autoencoder
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May 25, 2024 - Python
A Simple Conditional Variation Autoencoder
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Nov 27, 2020 - Jupyter Notebook
Investigating DRL DCVAE} for mitigating 15% domain shift in cardiac MRI segmentation. Conclusively proves the Information Bottleneck trade-off: 0.02 generalization gap vs. 0.25 DSC performance. Structural limits of DRL identified for high-detail medical tasks.
python reproducible-research jupyter-notebook pytorch representation-learning variational-autoencoder domain-adaptation information-bottleneck feature-disentanglement adversarial-training domain-generalization conditional-variational-autoencoder generalization-gap medical-imaging-segmentation cardiovascular-imaging disentangled-representation-learning cardiac-mri-segmentation multi-vendor-data deep-learning-in-medicine content-utility-tradeoff
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Dec 20, 2025 - Jupyter Notebook
Conditional Variational Autoencoder for generating 64×64 human faces with controllable attributes such as gender, glasses, and beard, trained on the CelebA dataset.
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Jan 28, 2026 - Python
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Oct 7, 2023 - Jupyter Notebook
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