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Markowitz Mean-Variance Portfolio Optimization using CVXPY | GSoC 2026 Pre-Application Work
High-performance, zero-copy Rust inference backend for Vision-Language Models (VLMs). Designed for edge deployment utilizing ONNX Runtime and hardware-accelerated execution providers.
GSoC 2026 qualification task: Spack upstream readiness audit for key4hep packages
Evaluation pipeline for the ML4SCI DeepLense GSoC 2026 project, focusing on dark matter morphology and Equivariant Neural Networks.
Empirical analysis quantifying the 0.009 ROC-AUC gap between PyTorch GNNs (2D graphs) and OLMo-7B (1D SMILES) on Tox21. Exposes the Random Split illusion and provides the baseline justification for Topological State Machine (TSM) integration.
🎨 Enhance your Jellyfin media server with a clean, modern CSS theme featuring glassmorphism, smooth transitions, and custom backgrounds.
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