Interactive decision tree for classifying objects into Structural Explainability identity and persistence regimes.
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Updated
May 30, 2026 - Python
Interactive decision tree for classifying objects into Structural Explainability identity and persistence regimes.
Quant research pipeline for XAUUSD regime classification using macroeconomic features, Random Forest, Temporal Convolutional Networks (TCN), walk-forward validation, and trading-system backtesting.
Telemetry-based taxonomy of how LLMs strain, drift, and hallucinate — measured from layer activations, attention, KV cache, and MoE routing.
Transformer‑based BUY/SELL signal classifier for Bitcoin using long‑horizon trend features and pretrained inference weights.
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