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
Open-source Bayesian trading AI agent for prediction markets.
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
FIFA World Cup 2026 match outcomes, group standings for sports betting market, sports betting market
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