Step Lightly
Sneak through a dark ranch house where every footstep lights your way and alerts a monster
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ML Playground
ML Playground: Interactive machine learning in your browser. Train neural networks, build regression models, classify images - no setup required. Learn AI through beautiful, hands-on experiences.
id="app-details-left"> Dashboard Page ML Playground is an interactive web application that makes machine learning accessible to everyone through hands-on experimentation in the browser. Built with React, TypeScript, and TensorFlow.js, it provides a beautiful, production-ready interface for exploring different ML concepts without any setup or installation requirements. What Inspired Me The inspiration came from observing how intimidating machine learning can be for newcomers. Most ML tutorials require complex environment setups, command-line tools, and extensive coding knowledge. I wanted to…
Description excerpted from the original listing, which is linked below.
MazeRift
Roll through mazes, collect perks, and race through increasingly strange worlds.
Crazy Cat Cafe
Run a cozy cat cafe while the cats keep knocking your mugs off the counter
GRAVITON
Orbit a star and bend photon beams through gravity to destroy enemy waves
FLOORED (BETA) — 首都高 Night Drive
Night driving through a procedurally generated Japanese town and its elevated expressway. Sim-grade tire physics, dense AI traffic, rain, neon.
Klarbase — tiny isles, clever paths
A cozy puzzle game of floating isles. Play 24 hand-made isles, build your own, and share them.
Snake: Gridbreaker on Steam
There is no tutorial. And there won't be. I believe in you. I couldn't escape the Grid. Maybe you can. You are snake who eats apples. j/k You want to escape the grid loop. BUT the LOOP wants to keep You in.
DeDT Platform
Open-source code of the DeDT project: a blockchain-powered decentralized Digital Twins platform (DAO collaboration, big data flows, IP-NFT fundraising, trustworthy predictive analytics). MSCA Fellowship, Masaryk University.
The week in AI-built software
Every Monday: how many projects were built with AI that week, which tools built them, where they came from, and the week's picks.
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