sbondaryev

An interactive guide to Diffusion Transformers and Flow Matching, using a simple model that turns random dots into shapes.

Thanks for resharing!

Thanks for sharing!

An interactive guide to how attention, embeddings, and positional encoding work together to predict the next move.

Inspired by 3Blue1Brown's Wordle video I applied maximum entropy to Mastermind.

The solver averages 4.42 guesses across all 1296 possible codes.

Includes an interactive game where you can see the optimal next move.

That's fair. It's just a suggestion - it's been useful for me in early stages of UI prototyping.

Hi HN, I built a chess position recognition system that runs entirely in the browser.

The project walks through the full pipeline: manually collecting data from book scans, comparing Autoencoders vs. SimCLR for representation learning, and deploying with ONNX Runtime and Pyodide to avoid server costs.

The included demo recognizes board diagrams and generates Lichess links for analysis.

Nice project! One small suggestion, adding a search or category filter would help simplify navigation given the number of calculators available.