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Datasets, Transforms and Models specific to Computer Vision

How do you encode combinatorial optimization problems when they have inequality constraints on quantum computers? well, the usual approach is using slack variables. But, this approach is quite expensive and makes the search for possible solutions even harder. In this work, https://arxiv.org/abs/2211.13914, we present “unbalanced penalization” a new approach to encode the inequality constraints of combinatorial optimization problems.

MPI based parallel processing library for python

Collection of software tools for the scientific community to facilitate access to and processing of TOAR data

Simple python CLI library to run statistics of time spent in different "work categories", as captures in a minimalistic text / markdown file format .

test project to test chat gpt