Official implementation of (ICML 2026) Training-Free Vector Quantization via Gaussian VAEs
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Aug 28, 2026 - Python
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vector-quantized-variational-autoencoder
Here are 10 public repositories matching this topic...
Noise Substitution in Vector Quantization for Machine Learning
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Oct 14, 2026 - Python
DiVeQ: Differentiable Vector Quantization Using the Reparameterization Trick (package)
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Sep 3, 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
Connections on the straight-through estimator (STE) and the Dirac delta function.
vector-quantization ste vector-quantized-variational-autoencoder straight-through-estimator dirac-delta-function
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Apr 23, 2026 - Python
DiVeQ: Differentiable Vector Quantization Using the Reparameterization Trick (package)
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Oct 14, 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
A from-scratch implementation of Vector Quantized Variational Auto Encoder
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Aug 4, 2025 - Jupyter Notebook
DiVeQ: Differentiable Vector Quantization Using the Reparameterization Trick
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Updated
Oct 14, 2026 - Python
Noise Substitution in Vector Quantization for Machine Learning (package)
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Updated
Oct 14, 2026 - Python
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