Popular GitHub Repositories for Betting Odds

Python AutoML for Trading Systems and Sports Betting

Collection of sports betting AI tools.

Using data analytics and machine learning to create a comprehensive and profitable system for predicting the outcomes of NBA games.

Predicting soccer matches outcomes with machine learning as time series.

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The most largest prediction market - Polymarket copy trading bot: Copy master's trades and positions by using this bot

Using AI to predict the outcomes of NBA games.

A data-driven approach to predicting football match outcomes using advanced machine learning techniques. This project integrates various algorithms to forecast game results, providing insights for sports betting, team performance analysis, and sports enthusiasts.

An advanced machine learning model utilizes a Random Forest Regressor to generate betting recommendations for Major League Baseball (MLB) games.

This is the code for predicting football (soccer) results by Amir Mirbagheri

Entity resolution research project looking at what can be enabled by construing it as a problem of calibration from similarity to log-odds of a true match.

Python codes for administrative data (long term care) residents- Odds ratio-Logistic regression-ML models

ICDM《Robustness May be at Odds with Stability in Adversarial Training based Feature Selection? 》source code

FootballBettingAgent is an AI-powered football betting assistant that helps users make informed betting decisions. It provides personalized betting advice through an interactive chat interface.

A natural language querying system for Premier League stats

Gensim & Word2Vec for task similarity, with odds-based date estimation for enhanced predictions.

An international 1xBet affiliate landing page with global support and multilingual accessibility.

Reproducing and extending results from PrOCTOR paper (Predicting Odds of Clinical Trial Outcomes using Random forest) via gradient boosting methods

The Interesting World Hypothesis is a best guess on how Friendly I-AGIs will think. The Fae Initiative is a follow-up work that is focused on what we can do about it to increase our odds of a good outcome.

QuantIntelli+ offers a unique approach to football betting analysis by merging statistical modeling with advanced AI techniques. This repository includes a robust framework for users to explore and enhance their betting strategies. ??