🔴 MiniSom is a minimalistic implementation of the Self Organizing Maps

[CVPR 2025] 🔥 Official impl. of "TokenFlow: Unified Image Tokenizer for Multimodal Understanding and Generation".

ECCV 2022, Oral, VQFR: Blind Face Restoration with Vector-Quantized Dictionary and Parallel Decoder

[ICCV 2025] SimVQ: Addressing Representation Collapse in Vector Quantized Models with One Linear Layer

⚡ A fast embedded library for approximate nearest neighbor search

Pytorch implementation of stochastically quantized variational autoencoder (SQ-VAE)

🔥 Official impl. of "DetailFlow: 1D Coarse-to-Fine Autoregressive Image Generation via Next-Detail Prediction"

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

Using ideas from product quantization for state-of-the-art neural network compression.

A low-bitrate single-codebook 16 / 24 kHz speech codec based on focal modulation

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

Official PyTorch implementation of QuantArt (CVPR2023)

Pytorch Implementation of "Neural Discrete Representation Learning"

Towards training VQ-VAE models robustly!

Dice.com repo to accompany the dice.com 'Vectors in Search' talk by Simon Hughes, from the Activate 2018 search conference, and the 'Searching with Vectors' talk from Haystack 2019 (US). Builds upon my conceptual search and semantic search work from 2015

Explore how to get a VQ-VAE models efficiently!

Implementation of vector quantization algorithms, codes for Norm-Explicit Quantization: Improving Vector Quantization for Maximum Inner Product Search.

ICLR 2026-MVAR: Visual Autoregressive Modeling with Scale and Spatial Markovian Conditioning

PyTorch Lightning implementation of the paper Deep Compression: Compressing Deep Neural Networks with Pruning, Trained Quantization and Huffman Coding. This repository allows to reproduce the main findings of the paper on MNIST and Imagenette datasets.

A Pytorch Implementations for Various Vector Quantization Methods