High-Level Training, Data Augmentation, and Utilities for Pytorch
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Updated
Dec 26, 2021 - Python
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High-Level Training, Data Augmentation, and Utilities for Pytorch
Simple geographical raster interaction built on top of ArchGDAL, GDAL and CoordinateTransformations
café, a systems language
Affine Tranformation and Homography library for Python
2D image registration in python, using napari.
A type-safe representation of units with zero-run-time overhead. This library decouples the physical dimensions from the units themselves there by allowing to inter-convert between different systems such as SI and Imperial. The system allows for non-integer rational powers of physical dimensions as well(eg: L^2.5)
Some classical/modern ciphers in C language and Python to encrypt and decrypt important information and keep the information safe, such as integrity, authentication, confidentiality and availability of the data. Some implemented ciphers are: Affine, DES and AES (with modes of operation for BMP images)
A lightweight data-augmentation library for machine learning
Implementation of Ciphers
Composite and splice core sections; export data according to splice.
An R package to apply affine and similarity transformations on vector layers (sp objects)
A package for computing Direct Linear Transformation matrix.
This project computes the affine cipher of some text based on two integers
Solving a convex problem with affine equality constrains with CVX and Newton algorithm
Port of Non-Affine Transforms in 2D by Charles Petzold to WPF
A package to transform spatial data from one space to another.
implementation of RSA , Affine and Transposition encryption techniques
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