Deep based Visual SLAM Project(Depth estimation, Optical flow, Visual inertial odometry)
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Updated
Jan 7, 2026 - C++
Deep based Visual SLAM Project(Depth estimation, Optical flow, Visual inertial odometry)
Custom llama.cpp fork with character intelligence engine: control vectors, attention bias, head rescaling, attention temperature, fast weight memory
Flow Matching C++ ML Framework From Scratch
Research on 4D Pheromone Vectors via Distributed Attention
A single-file C++ transformer built to be read — every mechanism of a modern LLM in ~780 lines, with a textbook companion.
ARM NEON SIMD optimizations on Apple Silicon for attention (31.88 GFLOPS/s, 11.1x speedup) and Black-Scholes (1.03x, proving SIMD fails on transcendental-heavy workloads). Roofline analysis predicts optimization potential before implementation. OpenMP parallelization.
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