Course materials and starter code for the DS 6210 take-home capstone on spectral optimization for deep learning.
project/
spectral_harness/ starter code -- read its README first
README.md quickstart, rules, self-audit checklist
my_optimizer.py student work lives here
harness/ fixed scaffolding (model, data, timing, seeds)
experiments/ 4 scripts: baseline, your method, parity, grid
tests/ pytest parity contract
reproduce.sh end-to-end smoke
cd project/spectral_harness
pip install -r requirements.txt
./reproduce.shThe full assignment sheet (problem statement, rubric, rules) is
distributed separately by the instructor. Read
project/spectral_harness/README.md
for the starter API and the self-audit checklist.