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sports-analysts

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saccofrancesco / deepshot

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Star 169

AI-powered NBA game outcome predictor that uses advanced team stats and trend-based features to forecast winners and track model performance

python open-source nba data-science machine-learning ai time-series scikit-learn jupyter-notebook basketball pandas xgboost feature-engineering predictive-modeling model-evaluation sports-data nba-prediction nba-predictions sports-analysts sports-prediction
  • Updated Jul 28, 2026
  • Jupyter Notebook

chigwell / sport-evo-summary

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Star 1

A new package that transforms unstructured text about sports evolution into a structured summary. Users input text describing changes in a sport, and the package returns a standardized breakdown of ke

rules consistency insights culture equipment comparison performance-metrics journalists clarity enthusiasts text-transformation unstructured-text key-aspects sports-analysts structured-summary sports-evolution standardized-breakdown significant-shifts sports-landscape
  • Updated Dec 21, 2025
  • Python

M-Attaullah / IPL-Score-Predictor

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An AI-based IPL Score Predictor built with Python using a neural network to estimate a team’s total score. It analyzes match details like venue, teams, and players. The model uses dense layers, Huber Loss, and Adam Optimizer. A simple UI with ipywidgets allows real-time predictions.

python machine-learning deep-learning tensorflow neural-networks ai-project score-predictor ipl-score-prediction sports-analysts cricket-ai
  • Updated Apr 25, 2025
  • Python

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