There are 3 repositories under vector-quantization topic.
Vector (and Scalar) Quantization, in Pytorch
:red_circle: MiniSom is a minimalistic implementation of the Self Organizing Maps
ECCV 2022, Oral, VQFR: Blind Face Restoration with Vector-Quantized Dictionary and Parallel Decoder
Using ideas from product quantization for state-of-the-art neural network compression.
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
Implementation of vector quantization algorithms, codes for Norm-Explicit Quantization: Improving Vector Quantization for Maximum Inner Product Search.
VQ-TensoRF --- Official implementation of our CVPR 2023 paper "Compressing Volumetric Radiance Fields to 1 MB"
This is an official PyTorch implementation of "Gesture2Vec: Clustering Gestures using Representation Learning Methods for Co-speech Gesture Generation" (IROS 2022).
A Pytorch Implementations for Various Vector Quantization Methods
A RoQ video playback system for the Sega Dreamcast video game console
PyTorch implementation of VQ-VAE applied on CIFAR10 dataset
A framework for index based similarity search.
implementation of the k-means-u* clustering algorithm
Automatically exported from code.google.com/p/speech-recognition-java-hidden-markov-model-vq-mfcc
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.
An automatic speaker recognition system built from digital signal processing tools, Vector Quantization and LBG algorithm
Data cleanse, clustering with Vector Quantization and Adaptive Resonance Theory
Train vector quantized CLIP models using pytorch lightning
Official repository for the paper "Topological Neural Discrete Representation Learning à la Kohonen" (ICML 2023 Workshop on Sampling and Optimization in Discrete Space)
A Java program that implments Vector Quantization LBG Algorithm on greyscale RAW images, user determines the compression level.
Two lossy algorithms, Discrete Wavelet Transform (DWT) and Vector Quantization (VQ) are added together to compress medical images and see their performance.
A Vector Quantized Masked AutoEncoder for speech emotion recognition
Lossy Image Compression using Vector Quantization and K-Means Clustering.
Compress image to pixels by vector quantizations
Signal Processing with Python and Librosa
Using C++ to implement Vector Quantization Encoder