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Rafs-an09002  published a Space about 12 hours ago
GambitFlow/Benchmark-BatlleGround
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Nexus Series
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GambitFlow/Nexus-Nano
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♟️ GambitFlow Intelligence Systems

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Enginered by GambitFlow Primary Framework: PyTorch Inference: ONNX Runtime


🚀 Mission Overview

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.

🧠 Core Intelligence: The Synapse Series

Our flagship Synapse series models utilize a proprietary Hybrid CNN-Transformer architecture.

  • CNN Backbone: Expert-level spatial perception for pawn structures and piece activity.
  • Transformer Neck: Strategic long-range dependencies and multi-move tactical sequences.

📂 Active Repositories

🤖 Models

  • Synapse-Base: 38M Parameter Foundation Model.
  • Nexus-Core: Deep ResNet optimized for positional play.
  • Nexus-Nano: Lightweight CNN for instant mobile inference.

📚 Datasets

  • Elite-Data: 5 Million+ positions filtered from ELO 2000+ Master games.
  • Starter-Data: Curated positions for rapid model prototyping.

🤝 Contribution & Research

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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