There are 6 repositories under vector-quantization topic.
Vector (and Scalar) Quantization, in Pytorch
:red_circle: 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
Implementation of TiTok, proposed by Bytedance in "An Image is Worth 32 Tokens for Reconstruction and Generation"
🔥 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.
[EMNLP 2024] ESC: Efficient Speech Coding with Cross-Scale Residual Vector Quantized Transformers
A low-bitrate single-codebook 16 / 24 kHz speech codec based on focal modulation
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.
A Pytorch Implementations for Various Vector Quantization Methods
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.
MVAR: Visual Autoregressive Modeling with Scale and Spatial Markovian Conditioning
VQ-TensoRF --- Official implementation of our CVPR 2023 paper "Compressing Volumetric Radiance Fields to 1 MB"
[ICASSPW] A Vector Quantized Masked AutoEncoder for speech emotion recognition
This is an official PyTorch implementation of "Gesture2Vec: Clustering Gestures using Representation Learning Methods for Co-speech Gesture Generation" (IROS 2022).
A RoQ video playback system for the Sega Dreamcast video game console
TensorFlow implementation of "Finite Scalar Quantization: VQ-VAE Made Simple" (ICLR 2024)
PyTorch implementation of VQ-VAE applied on CIFAR10 dataset
Train vector quantized CLIP models using pytorch lightning
Curated website for Awesome Learning to Hash, featuring research papers, resources, and tools on learning to hash, approximate nearest neighbor (ANN) search, and vector quantization.
A framework for index based similarity search.
implementation of the k-means-u* clustering algorithm
iQRL: implicitly Quantized Representations for Sample-efficient Reinforcement Learning
Automatically exported from code.google.com/p/speech-recognition-java-hidden-markov-model-vq-mfcc