-
Updated
Jun 29, 2024 - TypeScript
lossy-compression
Here are 53 public repositories matching this topic...
📦 Minecraft: Java Edition resource and data pack optimizer which aims to achieve the best possible compression, performance and protection, improving pack distribution, storage and in-game load times.
-
Updated
Jun 28, 2024 - Rust
JPEG XL image format reference implementation
-
Updated
Jun 28, 2024 - C++
A GPU accelerated error-bounded lossy compression for scientific data.
-
Updated
Jun 21, 2024 - C++
NHW : A Next-Generation Image Compression Codec
-
Updated
Jun 9, 2024 - C
SPERR is a lossy scientific (floating-point) data compressor that produces one of the best rate-distortion curves.
-
Updated
Jun 7, 2024 - C++
Authors' PyTorch implementation of lossy image compression methods that are based on hierarchical VAEs
-
Updated
May 7, 2024 - Jupyter Notebook
Step-Selected Differential Pulse Code Modulation audio codec, format specification and implementation
-
Updated
Apr 29, 2024 - C
fortran version of zfp C code example - simple compressor
-
Updated
Apr 26, 2024 - Fortran
Test file to check Fortran bindings to the SZ3 library for lossy compression
-
Updated
Apr 22, 2024 - Fortran
A registered ZFP compression plugin for HDF5
-
Updated
Jun 8, 2024 - C
Fortran interface bindings to sperr
-
Updated
Feb 27, 2024 - Fortran
Optimally compress image in browser to the target size
-
Updated
Feb 2, 2024 - TypeScript
Implemented a naive indexer for Reuters21578. Implemented single-term query processing. Implmented and compared results of lossy dictionary compression
-
Updated
Jan 2, 2024 - Python
Some algorithms for lossy compression of images
-
Updated
Dec 10, 2023 - Python
An experimental image codec based on linear factor decomposition
-
Updated
Aug 15, 2023 - C++
An experiment sandbox for Deep Learning Data Loading analysis.
-
Updated
Aug 10, 2023 - Python
[CVPR'19, ICLR'20] A Python toolbox for modeling and optimization of photo acquisition & distribution pipelines (camera ISP, compression, forensics, manipulation detection)
-
Updated
Mar 24, 2023 - Python
The "General Purpose Geospatial Compression" format for high efficiency lossy compression
-
Updated
Mar 21, 2023 - C++
Improve this page
Add a description, image, and links to the lossy-compression topic page so that developers can more easily learn about it.
Add this topic to your repo
To associate your repository with the lossy-compression topic, visit your repo's landing page and select "manage topics."