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machine-learning-infrastructure

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tpu-doc is a zero-dependency diagnostic binary for Google Cloud TPU environments that instantly validates hardware health, discovers software stack configurations, and provides AI-powered log analysis to eliminate expensive debugging downtime.

  • Updated Jan 6, 2026
  • Rust
tungsten-alpha

Tungsten Alpha: A JAX-native, 7-layer Adelic-Riemannian Operating System. Implements resurgent gradient flow through discrete logic and Levi-Civita parallel transport for decentralized XLA clusters. Hardened for zero-jitter, systolic array execution.

  • Updated Mar 16, 2026
  • Python

A research-grade course in Numerical Methods and Optimization for ML. No deep learning libraries—just pure math and NumPy. Rebuilds automatic differentiation engines, stable SVD/Cholesky algorithms, quasi-Newton solvers (BFGS), stable log-sum-exp layers, and Gaussian Process regressions from scratch

  • Updated May 27, 2026
  • Jupyter Notebook

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