Enhanced MCP server for Bloomberg Terminal — BDP/BDH/BDS/BQL/TA with 18 tools, caching, and dynamic screening. Based on tallinn102/bloomberg-mcp.
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Updated
Apr 19, 2026 - Python
Enhanced MCP server for Bloomberg Terminal — BDP/BDH/BDS/BQL/TA with 18 tools, caching, and dynamic screening. Based on tallinn102/bloomberg-mcp.
burn inference and training of dragon models 🔥🐉
An educational implementation of the Dragon Hatchling (BDH), applied to a pathfinding task
Native Spiking Neural Network (SNN) implementation of the Baby Dragon Hatchling (BDH) architecture for Neuromorphic & Edge AI with Continual Learning.
Repository with code for 'The little dragon learns to fly' article
Small Dragon Hatchling (BDH) language models, 25M to 100M parameters, on bytes and BPE, with streaming inference over the synaptic state
Interactive explainer: BDH's attention has no softmax, so it is exactly a Hebbian synaptic memory — one fixed-size matrix written once per token. Run both forms, watch them agree to 1e-16, then break it with one toggle. DataForge 2026, Pathway track.
Interactive explainer connecting Sparse Non-Negative Activations to Pathway's BDH - DataForge 2026, Pathway Track
To associate your repository with the bdh topic, visit your repo's landing page and select "manage topics."