Production-grade Rust-native trading engine with deterministic event-driven architecture

NBA sports betting using machine learning

Collection of sports betting AI tools.

Sports betting assistant (with interface) which optimizes earnings regarding odds and offers

A package containing the essential math required for sports betting and gambling.

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

A python app designed to scrape and process sports betting data directly from oddsportal.com 🎯

⚽ High-performance football analytics: build data pipelines, scrape data, model matches, rank teams, and bet smarter | Powered by www.pena.lt/y 🚀

Python script to scrape Bet365 odds using Selenium.

Betting on the NBA with data

Tier-1 betting platform for Kenya, Nigeria, Ghana. Sports betting, crash games, M-Pesa/Flutterwave payments, real-time WebSocket odds, BCLB compliance. Go microservices with NATS.

A terminal UI designed for analyzing sports betting odds💰

Using AI to predict the outcomes of NBA games.

goto_conversion - Powered $47,000 of prize money, 10+ Gold Medals and 100+ Medals on Kaggle

A website that utilizes a deep learning neural network to detect who will win NBA games

An R package to quickly obtain clean and tidy college football play by play data

A comprehensive TypeScript/Node.js backend system for automated trading on Polymarket. This platform supports two types of trading bots: Copy Trading Bots and Strategy Bots with odds-based strategies.

R Package for Sports betting

PHP: Web based app for sports betting using Betfair API

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