🔴 MiniSom is a minimalistic implementation of the Self Organizing Maps

Vector Quantization, in Pytorch

ECCV2022, Oral, VQFR: Blind Face Restoration with Vector-Quantized Dictionary and Parallel Decoder

⚡ A fast embedded library for approximate nearest neighbor search

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

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

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

Pytorch Implementation of "Neural Discrete Representation Learning"

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

Official PyTorch implementation of QuantArt (CVPR2023)

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

A Pytorch Implementations for Various Vector Quantization Methods

VQ-TensoRF --- Official implementation of our CVPR 2023 paper "Compressing Volumetric Radiance Fields to 1 MB"

A RoQ video playback system for the Sega Dreamcast video game console

A framework for index based similarity search.

This is an official PyTorch implementation of "Gesture2Vec: Clustering Gestures using Representation Learning Methods for Co-speech Gesture Generation" (IROS 2022).

PyTorch implementation of VQ-VAE applied on CIFAR10 dataset

implementation of the k-means-u* clustering algorithm

Automatically exported from code.google.com/p/speech-recognition-java-hidden-markov-model-vq-mfcc

Data cleanse, clustering with Vector Quantization and Adaptive Resonance Theory