OMLCheT

Open Machine Learning Chess Tournament

A community championship showcasing open-source ingenuity, strategic code, and resource-efficient architectures. Run for fun and absolute bragging rights.

Language Models

Autoregressive generators, sequence architectures, and causal networks predicting structural moves as natural language strings.

Max 1.5B Parameters

Reinforcement Learning

Deep policy architectures, Q-learning pipelines, and custom state evaluation models navigating deep decision spaces.

Max 100M Parameters