🔴 MiniSom is a minimalistic implementation of the Self Organizing Maps
-
Updated
May 13, 2024 - Python
🔴 MiniSom is a minimalistic implementation of the Self Organizing Maps
Vector (and Scalar) Quantization, in Pytorch
ECCV 2022, Oral, VQFR: Blind Face Restoration with Vector-Quantized Dictionary and Parallel Decoder
⚡ A fast embedded library for approximate nearest neighbor search
Pytorch implementation of stochastically quantized variational autoencoder (SQ-VAE)
Using ideas from product quantization for state-of-the-art neural network compression.
Implementation of vector quantization algorithms, codes for Norm-Explicit Quantization: Improving Vector Quantization for Maximum Inner Product Search.
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
A RoQ video playback system for the Sega Dreamcast video game console
A framework for index based similarity search.
Pytorch Implementation of "Neural Discrete Representation Learning"
[official] PyTorch implementation of TimeVQVAE from the paper ["Vector Quantized Time Series Generation with a Bidirectional Prior Model", AISTATS 2023]
implementation of the k-means-u* clustering algorithm
PyTorch implementation of VQ-VAE applied on CIFAR10 dataset
Automatically exported from code.google.com/p/speech-recognition-java-hidden-markov-model-vq-mfcc
A Pytorch Implementations for Various Vector Quantization Methods
An automatic speaker recognition system built from digital signal processing tools, Vector Quantization and LBG algorithm
Compression of an image by Self organizing map.
Official PyTorch implementation of QuantArt (CVPR2023)
Automatically exported from code.google.com/p/mouse-gesture-recognition-java-hidden-markov-model
Add a description, image, and links to the vector-quantization topic page so that developers can more easily learn about it.
To associate your repository with the vector-quantization topic, visit your repo's landing page and select "manage topics."