AI Agent Skills

Google's differential privacy libraries.

Visual experiments exploring differential growth as a 2D morphogenesis tool.

Performs security-focused differential review of code changes. Adapts analysis depth to codebase size, uses git blame for context, calculates blast radius by counting ca…

Everything you want about DP-Based Federated Learning, including Papers and Code. (Mechanism: Laplace or Gaussian, Dataset: femnist, shakespeare, mnist, cifar-10 and fas…

Use when verifying a hardware DUT (a CPU core, FPGA, or netlist) against a golden reference model, building coverage-guided fuzzing, or detecting where silicon diverges…

Implement, demonstrate, reproduce and extend the results of the Risk articles 'Differential Machine Learning' (2020) and 'PCA with a Difference' (2021) by Huge and Savin…

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

Training PyTorch models with differential privacy

Python package for solving partial differential equations using finite differences.

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

Differentiable controlled differential equation solvers for PyTorch with GPU support and memory-efficient adjoint backpropagation.

DiffBot is an autonomous 2wd differential drive robot using ROS Noetic on a Raspberry Pi 4 B. With its SLAMTEC Lidar and the ROS Control hardware interface it's capable…

Code for the paper "Learning Differential Equations that are Easy to Solve"

End-to-end bulk RNA-seq orchestrator — takes raw FASTQ reads through QC and trimming (FastQC, fastp/Trim Galore), alignment and quantification (STAR, Salmon, featureCoun…

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

Hunting skill for auth bypass vulnerabilities. Built from 12 public bug bounty reports across SAML XSW / parser-differential (GitHub Enterprise CVE-2025-25291/25292), SA…