Open-source Monocular Python HawkEye for Tennis
Daily Fantasy Sports lineup optimzer for all popular daily fantasy sports sites
A Tennis dataset and models for event detection & commentary generation
Machine Learning model(specifically log-regression with stochastic gradient descent) for tennis matches prediction. Achieves accuracy of 66% on approx. 125000 matches
Predicts the winner of a tennis match with machine learning
🎾 Multi-Agent Proximal Policy Optimization approach to a competitive reinforcement learning problem
Tennis match analysis via computer vision techniques.
Predicting the winner of the Tennis match
Hawkeye official app repository. It contains the source code of the AI (developed with OpenCV) and the app itself (developed with t3-stack).
Python Implementation of paper "Robust Camera Calibration for Sport Videos using Court Models"
Twitter bot that tweets ATP & ITF tennis scores by web scraping data
DaVinci Resolve Python API project to track tennis points and create a running scoreboard
A Web scraper to scrape the data from the ATP world tennis website. This extracts the scores and match statistics of each tournament, along with the career history of the rankings and match percentages of each player.
Get the best insights to bet on ATP/WTA matches
What is the fastest way to brush tennis court lines?
Probability engine to predict tennis matches result
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