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actionformer_release

anet2016-cuhk-feature

Feature Extraction Toolbox from CUHK&ETHZ&SIAT submission to ActivityNet 2016

graph-editor

Graph-Editor is a GUI directed unweighted graph editor written in Java, using Java Swing's components and the MVC Pattern.

home-assistant-eero

Eero integration for Home Assistant

instagram-hashtags-generator

"Instagram Hashtag Generator" analyzes an image and gives back some hashtags based on a prediction of binary classifiers. It is possible to use two different classifiers, a classifier based on Logistic Regression and the other one on k-nearest neighbors.

karnaugh-map-solver

Karnaugh maps solver is a web app that takes the truth table of a function as input, transposes it onto the respective Karnaugh map and finds the minimum forms SOP and POS according to the visual resolution method by Maurice Karnaugh, American physicist and mathematician.

memory-game-mvc

It's a simple memory card game but with strong adhesion to the MVC (Model–view–controller) Pattern and a responsive layout.

mmaction

An open-source toolbox for action understanding based on PyTorch

n-queens

This project was presented for the Artificial Intelligence course for the academic year 2022/2023. It explores various methods to solve the N-Queens problem, including Random Search, Backtracking, Hill-Climbing, Simulated Annealing, and Genetic Algorithms. Each method is evaluated for its efficiency and effectiveness in finding solutions.

oadtr

Code for our ICCV 2021 Paper "OadTR: Online Action Detection with Transformers".

py-denseflow

Extract TVL1 optical flows in python (multi-process && multi-server)

slowfast

PySlowFast: video understanding codebase from FAIR for reproducing state-of-the-art video models.

telegram-ersu-bot

tutorato-programmazione-2-2023

Raccolta di codici per il tutorato del corso di Programmazione 2 presso il Dipartimento di Matematica e Informatica (DMI) dell'Università degli Studi di Catania (UNICT) per l'anno accademico 2022-2023. @UNICT-DMI 2022/2023

uci-spambase

This repository contains a detailed analysis of the Spambase Dataset using different classification algorithms, including Logistic Regression, Logistic Regression with Backward Feature Elimination (BFE), Support Vector Machine (SVM), SVM with Normalized Data, Decision Trees, Random Forest, K-Nearest Neighbors (K-NN), and K-NN with Normalized Data.

ui

UI-Lovelace-Minimalist is a "theme" for HomeAssistant

via_json-to-srt

It's a simple script created to make a .srt file starting from a VIA (VGG Image Annotator) .json file obtained by annotating a video.