sunga25/Detecting-Tennis-Anomalies-JEPA
Create atp_matches_2017.csv
Create atp_matches_2016.csv
Create atp_matches_2015.csv
Create atp_matches_2014.csv
Create atp_matches_2013.csv
Create atp_matches_2012.csv
Create atp_matches_2011.csv
Create atp_matches_2010.csv
Delete input/atp_match_data.2009
Rename input/atp_match_2009.csv to input/atp_matches_2009.csv
Create atp_match_data.2009
Create atp_match_2009.csv
Rename input/atp_matches_2008 to input/atp_matches_2008.csv
Create atp_matches_2008
Create atp_matches_2007.csv
Create atp_matches_2006.csv
Create atp_matches_2005.csv
Create atp_matches_2004.csv
Create atp_matches_2003.csv
Create atp_matches_2002.csv
Create atp_matches_2001.csv
Create input/atp_matches_2000.csv
Create poetry.lock
Create pyproject.toml
Create replit.nix
Create test_predictions.npy
Create src/main.py
Create final_model.pt
Create best_model.pt
Create model/model_outputs.h5
Create years_with_most_anomalies.csv
Create tournaments_with_most_anomalies.csv
Create players_with_most_positive_anomalies.csv
Create players_with_most_negative_anomalies.csv
Create anomaly_detection_plot.png
Create results/anomalies.csv
Create LICENSE.md
Create .replit
Create .gitignore
Create python-publish.yml
Create .github/workflows/python-package-conda.yml
Update README.md
Update README.md
initial commit
