← 최신 프로덕트

I made a machine learning model to predict 66.45% of NBA games

AI-powered NBA game outcome predictor that uses advanced team stats and trend-based features to forecast winners and track model performance. Introducing DeepShot: An NBA Game Prediction Model Hey devs, sports fans, and data nerds!

오픈소스

174 스타 · GitHub외부 사이트

github.com 방문외부 사이트

반응 (1)

비슷한 프로덕트

설명이 비슷한 순

  1. Hooper

    hooper.gg

    AI-driven stats and highlights for basketball play

    Hacker News124점

  2. Marvin 2.0

    factsmachine.ai

    a lightweight, multi-modal AI toolkit

    Hacker News20점

  3. Extending LLM SVG generation beyond pelicans and bicycles

    gally.net

    Inspired by Simon Willison’s pelican-riding-a-bicycle benchmark, I used Claude, Claude Code, and OpenRouter to get SVGs from six models for thirty similar prompts.

    Hacker News16점

  4. MIRA

    mira-wm.com

    Multiplayer World Model Trained on Rocket League

    Hacker News12점

  5. Predict GPT-5 skills with a community AI benchmark

    news.ycombinator.com

    I’m Andrew, co-founder of Recall.

    Hacker News13점