compression-encoding
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Make stronger and simpler models by leveraging natural order
A simple yet highly practical feature
Efficient vector quantization for machine learning optimizations (eps. vector quantized variational autoencoders), better than straight…
The Huffman Coding algorithm is a building block of many compression algorithms, such as DEFLATE - which is used by the PNG image format and GZIP.
This article shows a comparison of the implementations that result from using binary, Gray, and one-hot encodings to implement state machines in an FPGA. These encodings are often evaluated and applied by the synthesis and implementation tools, so it’s important to know why the software makes these decisions.
All the encodings that are worth knowing — from OrdinalEncoder to CatBoostEncoder — explained and coded from scratch in Python
There are many better alternatives
How to reduce storage size without losing information.
A gentle introduction to Hamming codes, error correcting binary codes whose words are all a Hamming distance of at least 3 apart.
Intro If you're into Cryptography For Beginners, you're in the right place. Maybe you're j...
A Self-Contained Tutorial on RSA Algorithm Theories for Number Theory Noobs
Audiophile On lists the best audio codecs for your music if you want the best sound quality, including descriptions of FLAC, OGG, ALAC, DSD, and MQA.
Knowledge distillation is a model compression technique whereby a small network (student) is taught by a larger trained neural network (teacher). The smaller network is trained to behave like the large neural network. This enables the deployment of such models… Continue reading Research Guide: Model Distillation Techniques for Deep Learning