NeuralPGN delivers local‑first chess repertoire trainer with FSRS via Tauri

NeuralPGN is a GitHub repository located at https://github.com/kfunezc204/neuralpgn. It provides a local‑first chess repertoire trainer. The trainer incorporates the FSRS rating system. The application is built using the Tauri framework. Users can run the trainer without requiring a persistent internet connection. The repository’s name suggests a focus on neural network‑based PGN handling. Developers can clone or contribute to the project via the GitHub link. The tool aims to assist chess players in managing and training their opening repertoire.