Pinned Repositories
analytics-handbook
Getting started with soccer analytics
CDAARD-UMaia
Formação Específica I - Otimização do Rendimento (Ciência de Dados Aplicada à Análise do Rendimento Desportivo - Mestrado em Treino Desportivo - Universidade da Maia
Deep-Learning
football_analytics
⚽📊 A collection of football analytics projects, data, and analysis by Edd Webster (@eddwebster), with links to publicly available resources in the football analytics community.
HCS_football
Calculation of Highly Correlated Segments (HCS) from players positional data
keras
Deep Learning for humans
longomatch-core
MIAD-3ED_PFM
Repositorio que contiene el material de apoyo para la realización del Trabajo Final del Máster en Inteligencia Artificial aplicada al Deporte: [Computer vision systems to identify tactical behaviors in football: Tests with FootAndBall, DeepSort and ByteTrack] .
narya
The Narya API allows you track soccer player from camera inputs, and evaluate them with an Expected Discounted Goal (EDG) Agent. This repository contains the implementation of the flowing paper https://arxiv.org/abs/2101.05388. We also make available all of our pretrained agents, and the datasets we used as well.
sn-tracking
Repository containing all necessary codes to get started on the SoccerNet Tracking challenge. This repository also contains benchmark methods to get started.
rmarcelino4's Repositories
rmarcelino4/MIAD-3ED_PFM
Repositorio que contiene el material de apoyo para la realización del Trabajo Final del Máster en Inteligencia Artificial aplicada al Deporte: [Computer vision systems to identify tactical behaviors in football: Tests with FootAndBall, DeepSort and ByteTrack] .
rmarcelino4/analytics-handbook
Getting started with soccer analytics
rmarcelino4/CDAARD-UMaia
Formação Específica I - Otimização do Rendimento (Ciência de Dados Aplicada à Análise do Rendimento Desportivo - Mestrado em Treino Desportivo - Universidade da Maia
rmarcelino4/Deep-Learning
rmarcelino4/football_analytics
⚽📊 A collection of football analytics projects, data, and analysis by Edd Webster (@eddwebster), with links to publicly available resources in the football analytics community.
rmarcelino4/HCS_football
Calculation of Highly Correlated Segments (HCS) from players positional data
rmarcelino4/keras
Deep Learning for humans
rmarcelino4/longomatch-core
rmarcelino4/narya
The Narya API allows you track soccer player from camera inputs, and evaluate them with an Expected Discounted Goal (EDG) Agent. This repository contains the implementation of the flowing paper https://arxiv.org/abs/2101.05388. We also make available all of our pretrained agents, and the datasets we used as well.
rmarcelino4/sn-tracking
Repository containing all necessary codes to get started on the SoccerNet Tracking challenge. This repository also contains benchmark methods to get started.
rmarcelino4/soccergraphR
Soccer Analytics in R using OPTA data
rmarcelino4/soccermatics
Visualise spatial data from soccer player x,y-coordinates
rmarcelino4/UE-FootballAnalytics
Documentos de apoio da pós-graduação em Football Analytics da Universidade Europeia | 2021-2022
rmarcelino4/UniversidadeEuropeia_ScrapeFromWhoScored
Scripts para fazer scrapting de WhoScored
rmarcelino4/WordsCount_FromPDF
Code generated with OpenAI-Codex to extract words from pdf documents