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1. final-stage-bottleneck final-stage-bottleneck Public

   A systematic dissection of the Graph R-Learner for network causal inference, using PyTorch to benchmark Double Machine Learning (DML) with GNNs.

   Python

2. sam-optimizer sam-optimizer Public

   This repository contains an independent, from-scratch implementation of the Sharpness-Aware Minimization (SAM) optimizer, as introduced in the ICLR 2021 paper by Foret et al.

   Python

3. micrograd micrograd Public

   An exercise in deconstructing the "magic" of backpropagation into a clean, understandable, and functional implementation.

   Jupyter Notebook

4. loss-landscape-calculus loss-landscape-calculus Public

   A first-principles Python implementation to numerically analyze 2D loss landscapes and visualize the failure modes of simple optimizers on pathological functions like the Rosenbrock.

   Jupyter Notebook

5. bit-collapse-geometry bit-collapse-geometry Public

   Visualizing Hessian Spectral Collapse in Quantized Neural Networks

   Python 1

6. quant-lens quant-lens Public

   Visualize loss landscapes and Hessian sharpness to diagnose "bit collapse" in quantized neural networks.

   Python