Bayesian non-parametric clustering (BnpC) of binary data with missing values and uneven error rates
-
Updated
Jul 11, 2024 - Python
Bayesian non-parametric clustering (BnpC) of binary data with missing values and uneven error rates
Work with hexadecimal, store in binary, using half of the data size.
A Python module to help you manage your bits
Python base class for creating binary parsing and packing classes
Implementation of the Named Binary Tag data format
A python package designed to ease data manipulation tasks and improve efficiency when handling binary data.
Library to edit SpellForce .cff files
Generation of correlated artificial binary data - a replication of the omonymous R library
Library to handle hexadecimal record files
Library to handle sparse bytes within a virtual memory space
Contrastive Learning Extract
unique serialization of python objects
A centralised version control system for binary files like images and video
pfp - Python Format Parser - a python-based 010 Editor template interpreter
A Hierarchical Feature Selection for Binary Data
A pure-python module to read and write binary packed data
Extract a range of bytes from a file by specifying the first and last byte offset (in decimal or hex)
Examples of using byte-maps to render binary content in terminal
A Python IO for Fortran Unformatted Binary File with Variable-Length Records.
Add a description, image, and links to the binary-data topic page so that developers can more easily learn about it.
To associate your repository with the binary-data topic, visit your repo's landing page and select "manage topics."