Karlo Knezevic's repositories
EDAF
Estimation of distribution algorithms (EDA), sometimes called probabilistic model-building genetic algorithms (PMBGA), are stochastic optimization methods that guide the search for the optimum by building and sampling explicit probabilistic models of promising candidate solutions. This framework is built for master thesis in Faculty of Electrical Engineering and Compunting in University of Zagreb.
NeuroFuzzySystem
Neuro Fuzzy System
karloknezevic.github.io
A personal GitHub site
aifh
Artificial Intelligence for Humans
CA15140
COST Action 15140 Training School Material
CartesianGP
Cartesian Genetic Programming used for experimenting
cornell-cs5785-2020-applied-ml
Teaching materials for the applied machine learning course at Cornell Tech (online edition)
cs231n
Shortest solutions for CS231n 2021 and 2022
cs231n.github.io
Public facing notes page
deeplearning4j
Deep Learning for Java, Scala & Clojure on Hadoop & Spark With GPUs - From Skymind
fer-cv22
Github pages of Computer Vision course at University of Zagreb, Faculty of Electrical Engineering and Computing.
JavaVerbalExpressions
Java regular expressions made easy.
Machine-Learning-for-Cyber-Security
Curated list of tools and resources related to the use of machine learning for cyber security
p-p-j
Laboratory exercise for Programming Language Translation course.
Parallel-Evolutionary-Feature-Synthesis-Enhanced-Algorithm
Parallel Evolutionary Feature Synthesis Enhanced Algorithm
Parallelisation
University project in the field of Parallel programming
php-langspec
PHP Language Specification
PhpPhlicker
PhpPhlicker is web social site for image sharing.
ppj21
Automatically exported from code.google.com/p/ppj21
SCA-DPA
Side channel attack (SCA) of AES with Differential Power Analysis (DPA)
scientific-visualization-book
An open access book on scientific visualization using python and matplotlib
SimpleHttpServer
Simple Http Server implemented in Java. Server is educational example how real servers are implemented. Also, it has interpreter for simple scritp language.
sofascore-academy-2020
SofaScore Frontend Education 2020.
t81_558_deep_learning
Washington University (in St. Louis) Course T81-558: Applications of Deep Neural Networks