C++/Python microstructure research engine for event-driven limit order book prediction and reproducible quantitative experiments.
Reproducible evaluation suite for LLM behavior research: epistemic pathology, delegated introspection, and temporal consciousness diagnostics
A jekyll site for the Feast and Fast exhibition at the Fitz
A follow along of “Build a Large Language Model (From Scratch)” by Sebastian Raschka, which is explained with an insightful YouTube series “Building LLM from Scratch” by Dr. Raj Dandekar (MIT PhD).
Adnane Arharbi
GitHub profile README for Nicholas Kashani Motlagh
Controlled mini-benchmark for context visibility, shortcut regimes, and composition in tiny causal transformers.
Automates hermetic environments (macOS/HPC) to eliminate drift. Provisions offline RAG (Gemma 2), compiles LaTeX manuscripts, and indexes local knowledge. Unifies infrastructure, writing, and inference into a single, audit-ready artifact.
Research-grade MLE repo for structured CNN pruning under explicit accuracy guard rails, with deployment-aware evaluation across parameter reduction, MACs, latency, and pruning overhead.
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