paiml/aprender
Next Generation Machine Learning, Statistics and Deep Learning in PURE Rust
deep-learningmlmodelspaiml-monoreporustsovereign-aistatistics
First Claude commit: Nov 23, 2025Last Claude commit: 2mo agoDiscovered: Mar 23, 2026
Recent Claude Commits
feat: implement SSM/Mamba kernel module — ssm_discretize, ssm_scan, selective_gate (Refs PMAT-078)
3cd08a62mo agoauthor_emaildocs(examples): Add comprehensive ADMM optimization examples
a0aa4d36mo agoauthor_emailfeat(optim): Implement ADMM for distributed and constrained optimization
edc40456mo agoauthor_emaildocs(examples): Add comprehensive Phase 3 constrained optimization examples
f7c8d536mo agoauthor_emailfeat(optim): Implement Interior Point for inequality-constrained optimization
953510c6mo agoauthor_emailfeat(optim): Implement Augmented Lagrangian for equality-constrained optimization
f39e3436mo agoauthor_emailfeat(optim): Implement Projected Gradient Descent for constrained optimization
939ba186mo agoauthor_emaildocs(examples): Add comprehensive convex optimization examples
e7738106mo agoauthor_emailfeat(optim): Implement Coordinate Descent for high-dimensional optimization
49893cf6mo agoauthor_emailfeat(optim): Implement FISTA and proximal operators for convex optimization
e80601b6mo agoauthor_emailfeat(optim): Add SafeCholesky utility and update documentation
dafe7256mo agoauthor_emaildocs(optim): Add comprehensive batch optimization example
ab222996mo agoauthor_emailfeat(optim): Add Damped Newton optimizer with finite-difference Hessian
8160e216mo agoauthor_emailfeat(optim): Add Conjugate Gradient optimizer with three beta formulas
35489556mo agoauthor_emailfeat(optim): Implement L-BFGS optimizer with unified trait architecture
c2263b56mo agoauthor_emailrefactor(spec): Apply Toyota Way principles to optimization spec (Lean Edition)
f2f30166mo agoauthor_emaildocs: Add comprehensive optimization methods specification
e65df766mo agoauthor_email