A lightweight efficient audio codec in 30MB with 30~170x compression ratio. Supports 16kHz mono speech audio.
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Updated
May 21, 2024 - Python
A lightweight efficient audio codec in 30MB with 30~170x compression ratio. Supports 16kHz mono speech audio.
Vector (and Scalar) Quantization, in Pytorch
🔴 MiniSom is a minimalistic implementation of the Self Organizing Maps
[official] PyTorch implementation of TimeVQVAE from the paper ["Vector Quantized Time Series Generation with a Bidirectional Prior Model", AISTATS 2023]
naive k-means clustering from scratch in vanilla python
A Python implementation of the Directed Batch Growing Self-Organizing Map
A Vector Quantized Masked AutoEncoder for speech emotion recognition
Compression via Vector Quantization in PyTorch
Vector algebra deals with mathematical operations and manipulations involving vectors, which are mathematical objects with both magnitude and direction. Vectors can represent quantities such as forces, velocities, and features in machine learning
This is an official PyTorch implementation of "Gesture2Vec: Clustering Gestures using Representation Learning Methods for Co-speech Gesture Generation" (IROS 2022).
Train vector quantized CLIP models using pytorch lightning
How can echocardiographic sequences be compressed by using Vector Quantization
Official PyTorch implementation of QuantArt (CVPR2023)
This repository implements the LZ77, LZ78, Huffman, Vector Quantization, and Arithmetic coding algorithms for data compression and decompression.
ECOZ2 in Rust
TensorFlow implementation of "Finite Scalar Quantization: VQ-VAE Made Simple" (ICLR 2024)
Implementing Linde–Buzo–Gray algorithm for clustering from scratch in Python
PyTorch implementation of 3DQD with modifications (Deep Learning Lab - Uni Freiburg)
VQ-VAE implementation and some experiments.
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