Vector (and Scalar) Quantization, in Pytorch

Official PyTorch implementation of QuantArt (CVPR2023)

SimVQ: Addressing Representation Collapse in Vector Quantized Models with One Linear Layer

Simple 1D image tokenizer from the paper An Image is Worth 32 Tokens for Reconstruction and Generation

🔴 MiniSom is a minimalistic implementation of the Self Organizing Maps

iQRL: implicitly Quantized Representations for Sample-efficient Reinforcement Learning

[EMNLP 2024] ESC: Efficient Speech Coding with Cross-Scale Residual Vector Quantized Transformers

Experiments in neural networks for audio generation.

naive k-means clustering from scratch in vanilla python

[official] PyTorch implementation of TimeVQVAE from the paper ["Vector Quantized Time Series Generation with a Bidirectional Prior Model", AISTATS 2023]

This is the Implementation for the Vector Quantization Algorithm using java.

Dreamcast image format and VQ conversion tool, originally authored by Sega of Europe and Imagination Technologies

A Python implementation of the Directed Batch Growing Self-Organizing Map

ECOZ2 in Rust

A pytorch implementation of a VQ-VAE

A hierarchical VQ-VAE implementation in Flax

Self-Organizing Maps implemented in JAX

This repository contains the code for the experiments of the work "About Vector Quantization and its Privacy in Federated Learning" by Ronny Schubert and Thomas Villmann (2024) presented at ESANN 2024.

Train vector quantized CLIP models using pytorch lightning

Implementation of TiTok, proposed by Bytedance in "An Image is Worth 32 Tokens for Reconstruction and Generation"