GambitFlow is an open-research organization dedicated to pushing the boundaries of Deep Reinforcement Learning in the domain of Chess. We specialize in building low-latency, high-accuracy neural evaluation functions optimized for both edge devices (Browsers) and high-performance cloud environments.
Our flagship Synapse series models utilize a proprietary Hybrid CNN-Transformer architecture.
We welcome researchers and developers to contribute to the GambitFlow Ecosystem. All our public models and datasets are released under the CC BY-NC 4.0 license to ensure free access for research and personal use.
Flow with the perfect move.
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