Google's differential privacy libraries.

Numerical differential equation solvers in JAX. Autodifferentiable and GPU-capable. https://docs.kidger.site/diffrax/

Training PyTorch models with differential privacy

A full-lifecycle Claude Code skill for creating, compiling, reviewing, and polishing academic Beamer LaTeX presentations with quality scoring and pedagogical audits.

Structured medical case presentation for clinical rounds, conferences, and documentation. Generates SOAP-format or narrative case reports with physiologically accurate vitals, labs, and evidence-based plans. Use when the brief mentions "case report", "case presentation", "SOAP note", "clinical case", "ward rounds", "case summary", or "patient presentation".

pix2tex: Using a ViT to convert images of equations into LaTeX code.

An opinionated fork of pi-mono providing an extensible coding agent harness with multi-provider LLM support.

AI agent skill to generate editable PowerPoint presentations from papers, code, or documents using Codex or Claude Code.

Convert images of LaTex math equations into LaTex code.

Python package for solving partial differential equations using finite differences.

The core library of differential privacy algorithms powering the OpenDP Project.

PyTorch implementation for SDEdit: Image Synthesis and Editing with Stochastic Differential Equations