computer science
Projects with this topic
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Go Progressions (GoProgs) are a collection of exercise progressions to learn concepts with the Go programming language.
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Public archive de mis materias cursadas en la carrera de Ciencias de la Computación de la Universidad de Buenos Aires.
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My research papers, theses, courseworks and lecture notes on Computer Science
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Personal website about big data analytics, artificial intelligence and high performance computing. Powered by Jekyll, Node.js, Gulp, Bower and many other cool stuff.
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The epiGenetic Algorithm (epiGA), consists of a set of strategies, based on evolutionary computation, inspired in nature, especially in epigenetics, with the aim of solving complex combinatorial problems
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So far it's the single all-containing project in the group, but that may change in the future.
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✭ MAGNETRON ™ ✭: for making an IMAGINATION PROXIA/IMAGINATION PROXIA (A1). Instant neural graphics primitives: lightning fast NeRF (Neural Radiance Fields) and more...
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Describes various topics related to Computer Science, in my own words. Contains some mini projects that are examples/playgrounds of various topics.
Uses .md files for each topic that are situated in descriptive directories.
A 'Work In Progress'.
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Harvard's CS50: Introduction to Computer Science 2018 / 2019 course all problem sets solutions.
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Preparation for 3rd semester exam. EASJ, Computer Science.
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Project structure to the final evaluation of Data Structures & Algorithms Unit - Computer Science Set/2018 - ETIC
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An educational system for the visual teaching of algorithms and introductory programming based around the classic picobot Karel from Harvey Mudd College.
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The epiGenetic Algorithm (epiGA), consists of a set of strategies, based on evolutionary computation, inspired in nature, especially in epigenetics, with the aim of solving complex combinatorial problems.
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Algorithms and Data Structures in various Programming Paradigms
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This is the repo used to build the documentation about Sara Computer Vision Libraries (https://gitlab.com/oddkiva/sara)
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Timur Shemsedinov's "How programming works" academic course. JS path
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Tool to estimate the intrinsic workload of applications
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