Play rock paper and scissors against a untrained neural network

In plain words

This is a simple game where users play rock, paper, and scissors against an untrained neural network. The application allows players to compete against a machine learning model that has not been trained on game strategy. It was created for anyone interested in trying a basic interaction with neural networks or enjoying a casual game with an AI opponent. The project is available on GitHub.

written from the facts on this page · September 2026

• 
  I built a game to help you learn neural network architectures2024 · graphgame.sabrina.dev · ▲321
• 
  Shoot the neural network before it shoots you2022 · github.com · ▲146

  Play BangBang against a Neural Network. Contribute to victorqribeiro/bangBang development by creating an account on GitHub.

• 
  A competition for small neural networks that play strategy gamesSep 2026 · tinybrains.dev · ▲116

  A ranked ladder for small neural networks that play strategy games. Train a model, write an adapter, upload two files, and get measured into a weight class from 8 KiB up.

• 
  Noctie – A chess AI that predicts your rating2022 · noctie.ai · ▲134

  I built over the last two years a human-like neural network chess engine that tries to predict your rating from a single game. It automatically adapts to your play and tries to play like a human at your level would play, giving you a balanced game. At the core I’m using an AlphaZero / Leela Chess Zero style neural network that I have trained on 1 billion human games from the lichess.org open database. Around this network I have built a chess engine in Rust with algorithms that use the outputs from the NN to produce human-like moves at a given rating from beginner to world champion, as…

• 
  Recurrent neural net plays 'neural slime volleyball' in JavaScript2015 · otoro.net · ▲147
• BP
  Beating Pokemon Red with RL and <10M Parameters2025 · drubinstein.github.io · ▲183

  Hi everyone! After spending hundreds of hours, we're excited to finally share our progress in developing a reinforcement learning system to beat Pokémon Red. Our system successfully completes the game using a policy under 10M parameters, PPO, and a few novel techniques. With the release of Claude Plays Pokémon, now feels like the perfect time to showcase our work. We'd love to get feedback!

• 
  Spira Maxima▲578

  Video model that turns script into viral social media videos

  AI · 19d ago · spira.ai

• 
  Rill Browser▲540

  The browser where Claude Code and Codex work beside you

  AI · 19d ago · rill.love

• 
  Germany's new sovereign AI model Kolibri▲424

  Kolibri is Aleph Alpha

  AI · 21d ago · tej.as

• 
  Giving Opus 5.5 a simulated paint canvas▲392

  Paintings by AI models: programs run through a simulation of oil paint.

  AI · 22d ago · stillwet.art

• 
  Beam.win▲379

  Run AI agents on one Mac and use its windows on another

  AI · 5d ago · beam.win

• 
  FastRouter.ai▲364

  Route requests to the right LLM for cost, latency & quality

  AI · 23d ago · fastrouter.ai

• 
  Tandem▲919

  A virtual office for remote & distributed teams

  Dev tools · 2019 · tandem.chat

• 
  Memberstack▲850

  The no-code membership platform for any website

  Dev tools · 2019 · memberstack.com

• 
  SaaS Pages▲747

  900+ Screenshots of the best SaaS landing pages

  Growth · 2019 · saaspages.xyz

• 
  Stonly▲742

  Create interactive step-by-step guides

  Growth · 2019 · stonly.com

• 
  Poolside FM 2.0▲676

  Super-summer music website inspired by a '90s OS

  Life & fun · 2019 · v2.poolside.fm

• 
  Really Good Emails 2.0▲674

  Really good curated email design and code inspiration

  Dev tools · 2019 · reallygoodemails.com