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.
A python app designed to scrape and process sports betting data directly from oddsportal.com 🎯
Using data analytics and machine learning to create a comprehensive and profitable system for predicting the outcomes of NBA games.
⚽ High-performance football analytics: build data pipelines, scrape data, model matches, rank teams, and bet smarter | Powered by www.pena.lt/y 🚀
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.
Python script to scrape Bet365 odds using Selenium.
Betting on the NBA with data
FIFA World Cup 2026 match outcomes, group standings for sports betting market, sports betting market
A terminal UI designed for analyzing sports betting odds💰
sports betting toolbox to predict soccer matchs with betting model
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.
NBA sports betting app using machine learning
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