alan-turing-institute/WorldCupPrediction

Predicting results for the FIFA Men's 2022 World Cup and the FIFA Women's 2023 World Cup.

Jupyter NotebookPythonR
This is stars and forks stats for /alan-turing-institute/WorldCupPrediction repository. As of 30 Apr, 2024 this repository has 71 stars and 8 forks.

WorldCupPrediction | AIrgentina Predicting results for the FIFA Men's 2022 World Cup and FIFA Women's 2023 World Cup. Matches are predicted using a framework based on the team-level model in AIrsenal, a Python library for using Machine learning to pick a Fantasy Premier League team, which in turn uses bpl which is a numpyro implementation of our model. This model is trained on international mens football results obtained from https://github.com/martj42/international_results and https://github.com/martj42/womens-international-results. The...
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