Willian T. Lunardi's repositories

heurisko

C++ platform to perform continuous and combinatorial optimization metaheuristics with parallelism support for acceleration.

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multiplayer-server-unity

Multiplayer game server for Unity 3D game

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online-printing-shop

Online printing shop scheduling problem

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metaheursitics-visualization

Collection of p5.js projects.

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hyperopt-algorithms

Collection of scripts that facilitate hyperparameter optimization for machine learning models, encompassing techniques such as random search, Bayesian optimization, Hyperband pruners, and evolutionary computation methods like differential evolution.

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ids-ldpi

Contrastive learning and unsupervised/semi-supervised approach for online anomaly detection in network traffic.

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ml-stuff

Collection of DL projects.

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PartyGreeter

A World of Warcraft addon for automatically greeting new party members with customizable messages, delays, and other settings.

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procedural-art-triangle-placement

Procedural placement of triangles to resemble target painting with parameter-exploring policy gradients and differential evolution.

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syscall-trace-classification

Syscall trace classification using GNNs and transformers.

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jamming-avoidance-ui

This repository contains a Python-based graphical user interface (GUI) developed with Pygame library for displaying DL-based jamming detection and avoidance information.

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math-as-code

a cheat-sheet for mathematical notation in code form

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photo-organizer

This Python code is designed for organizing photo files within a specified source folder into target folders based on the date taken or file creation timestamp.

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piq

Measures and metrics for image2image tasks. PyTorch.

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plots

Collection of various scripts designed for plotting and data visualization purposes. Each script is designed to cater to a specific project and provides a visual representation of the data collected and numerical results.

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rl-approaches-generic

Reinforcement learning with DDQN and Neuroevolution

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transaction-labeler

Enhance the process of scraping and labeling through LLMs and SBERT. Note: This is not a very serious project; it's just something I was fiddling around with to check how these models perform for data labeling.

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