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1. ml-jax-pytorch ml-jax-pytorch Public

   Canonical models, whittled down: baseline → optimized → benchmark. Rung 1: MNIST CNN + int8 quantization.

   Python

2. quantum-anomaly-detection quantum-anomaly-detection Public

   Grover's algorithm for financial anomaly detection (CPS840 quantum computing research)

   Jupyter Notebook

3. gpt-cpp-cuda gpt-cpp-cuda Public

   GPT training and inference engine written from scratch in C++/CUDA. Hand-written forward and backward kernels, cuBLAS matmuls, no PyTorch or JAX.

   Cuda