State-of-the-Art VQ-VAE from Gaussian VAE without Training!
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Jan 3, 2026 - Python
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vector-quantized-variational-autoencoder
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Thesis Project: A multimodal transformer-based generative model that creates listener avatars conditioned on personality traits to produce realistic non-verbal responses (facial expressions, body and hand gestures), during dyadic conversations. Built with PyTorch, and trained on UDIVA dataset, achieving state-of-the-art FID/P-FID performance.
computer-vision generative-model avatar-generator human-computer-interaction cognitive-robotics personality-traits ai-agents multimodal-deep-learning transformer-encoder gesture-generation pose-detection vision-transformer large-vision-language-models vector-quantized-variational-autoencoder personality-aware-models
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Jan 5, 2026 - Python
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
Using Federated Learning to train Autoencoder and its variants' models in pytorch
pytorch mnist autoencoder convolutional-autoencoder variational-autoencoder federated-learning vq-vae vqvae vector-quantized-variational-autoencoder
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Feb 13, 2025 - Python
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