[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 20 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
すかすかアニメボカロデータセット。1st anime vocal dataset. Extract audio (vocal) files from video based on .ass subtitle files; manually label vocal files to characters. Will be used for PITS/VITS/Diffusion text-to-speech/SVC. 根据字幕，从视频里抽取全部语音，然后手动按角色标注。
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Dec 6, 2023 - 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
Using conditional variational autoencoders to manipulate the images
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Jul 19, 2023 - Jupyter Notebook
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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Jul 27, 2024 - 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
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
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
Reconstructing spatiotemporal data with C-VAEs.
wkt spatio-temporal-data variational-autoencoder interpolation-methods shape-based conditional-variational-autoencoder moving-regions
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May 23, 2024 - Jupyter Notebook
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
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Oct 7, 2023 - Jupyter Notebook
Conditional Variational Autoencoder (CVAE) implementation in JAX (accelerated).
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Nov 27, 2023 - Python
This repo contains implementations of key unsupervised learning techniques, including image compression (K-means, GMM), PCA for Eigenfaces, ICA for audio separation, and CVAE for MNIST generation. It's a resource for understanding and applying foundational algorithms.
machine-learning gaussian-mixture-models image-compression unsupervised-learning expectation-maximization-algorithm principal-component-analysis eigenfaces mnist-data audio-separation k-means-clustering independent-component-analysis conditional-variational-autoencoder
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Aug 23, 2024 - Jupyter Notebook
Conditional variational autoencoder implemented in PyTorch.
data-science machine-learning pytorch vae cvae variational-autoencoder conditional-variational-autoencoder
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Feb 20, 2023 - Jupyter Notebook
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