https://github.com/zgornel/quantizedarrays.jl
Array quantization and compression
https://github.com/zgornel/quantizedarrays.jl
arrays compression product-quantization quantization
Last synced: 7 months ago
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Array quantization and compression
- Host: GitHub
- URL: https://github.com/zgornel/quantizedarrays.jl
- Owner: zgornel
- License: mit
- Created: 2019-06-12T08:03:48.000Z (over 6 years ago)
- Default Branch: master
- Last Pushed: 2023-12-08T13:10:55.000Z (almost 2 years ago)
- Last Synced: 2025-02-22T11:06:06.742Z (8 months ago)
- Topics: arrays, compression, product-quantization, quantization
- Language: Julia
- Size: 146 KB
- Stars: 14
- Watchers: 3
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE.md
Awesome Lists containing this project
README
Array quantization and compression.
[](LICENSE.md)
[](https://travis-ci.org/zgornel/QuantizedArrays.jl)
[](https://coveralls.io/github/zgornel/QuantizedArrays.jl?branch=master)
[](https://zgornel.github.io/QuantizedArrays.jl/stable)
[](https://zgornel.github.io/QuantizedArrays.jl/dev)
## Installation
```julia
Pkg.add("QuantizedArrays")
```
## Examples
- Vector quantization
```julia
using QuantizedArrays
v = collect(1:10);
# Use 3 quantization levels (always 1 codebook)
qv = QuantizedArray(v, k=3)
# 10-element QuantizedArray{QuantizedArrays.OrthogonalQuantization,UInt8,Distances.SqEuclidean,Int64,1}:
# 5
# 5
# 5
# 5
# 5
# 6
# 6
# 6
# 10
# 10
```
- matrix quantization
```julia
using QuantizedArrays
m = reshape(collect(1:60), (6,10))
# 6×10 array{int64,2}:
# 1 7 13 19 25 31 37 43 49 55
# 2 8 14 20 26 32 38 44 50 56
# 3 9 15 21 27 33 39 45 51 57
# 4 10 16 22 28 34 40 46 52 58
# 5 11 17 23 29 35 41 47 53 59
# 6 12 18 24 30 36 42 48 54 60
# use 5 quantization levels (vectors) / codebook and 2 codebooks
qm = QuantizedArray(m, k = 5, m = 2)
# 6×10 QuantizedArray{QuantizedArrays.OrthogonalQuantization,UInt8,Distances.SqEuclidean,Int64,2}:
# 7 7 13 13 31 31 43 43 43 55
# 8 8 14 14 32 32 44 44 44 56
# 9 9 15 15 33 33 45 45 45 57
# 10 10 10 28 28 34 40 46 46 46
# 11 11 11 29 29 35 41 47 47 47
# 12 12 12 30 30 36 42 48 48 48
```
## Features
To keep track with the latest features, please consult [NEWS.md](https://github.com/zgornel/QuantizedArrays.jl/blob/master/NEWS.md) and the [documentation](https://zgornel.github.io/QuantizedArrays.jl/dev).
## License
The code has an MIT license and therefore it is free.
## Reporting Bugs
This is work in progress and bugs may still be present...¯\\_(ツ)_/¯ Do not worry, just [open an issue](https://github.com/zgornel/QuantizedArrays.jl/issues/new) to report a bug or request a feature.
## References
- [Rayuela.jl](https://github.com/una-dinosauria/Rayuela.jl) provides an extensive list of quantization methods implementations as well as good references pertinent to the state-of-the-art.
- [Quantization in signal processing (Wikipedia)](https://en.wikipedia.org/wiki/Quantization_(signal_processing))
- [Vector quantization (Wikipedia)](https://en.wikipedia.org/wiki/Vector_quantization)