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DesignerEE/README.md

UM

on-device ML, training theory, SOTA verification

Python CoreML NumPy

what's here

  • Law B — two-parameter saturation law for SGD: I(E) = C(1 − e^{−E/E*}). Predictable loss ceiling and work scale. repo
  • sota-verify — 6-test suite for verifying scoring formulas and evaluation metrics repo
  • Cerebras-Gemma4 — multimodal diagnosis via Cerebras + Gemma 4, multi-agent SRE dashboard repo

systems

  • Red Team Gate — cloud proposes exploit hypotheses, local deterministic gates verify (sandboxed execution + formal NLI + integrity check)
  • KISS Memory — compressed-fact store with hybrid semantic/BM25/recency recall and gap detection

focus

ML engineering at the boundary of hardware and math: ANE inference through CoreML, numerical verification of training formulas, local models with zero cloud dependency.

"DesignerEE has genuinely strong original work (Cerebras-Gemma4 is an excellent, well-tested hackathon project; law-b is real ML research with honest validation)"

from formula to spec — verified models on device

Pinned Loading

  1. pytorch-forecasting pytorch-forecasting Public

    Forked from sktime/pytorch-forecasting

    Time series forecasting with PyTorch

    Python 1

  2. sota-verify sota-verify Public

    6-test verification suite for scoring formulas and evaluation metrics

    Python 1

  3. macpow macpow Public

    Forked from k06a/macpow

    💻🔋 Real-time power tree TUI for Apple Silicon

    Rust 1

  4. Cerebras-Gemma4 Cerebras-Gemma4 Public

    VisionOps — image-aware SRE dashboard. Cerebras inference race + Gemma 4 multimodal diagnosis + multi-agent news scouts. Multiverse Agents hackathon.

    Python 2