AI Agent Skills

Classify each parsed mathematical-modeling subquestion by required output and structure, surface ambiguous framing trade-offs for human choice, and record primary/second…

A Lightweight Decision Tree Framework supporting regular algorithms: ID3, C4.5, CART, CHAID and Regression Trees; some advanced techniques: Gradient Boosting, Random For…

A general implementation of Monte Carlo Localization (MCL) algorithms written in C++17, and a ROS package that can be used in ROS 1 and ROS 2.

Robotics software featuring legged locomotion algorithms and a momentum-based controller core with optimization. Supporting software for world-class robots including hum…

BenchMARL is a library for benchmarking Multi-Agent Reinforcement Learning (MARL). BenchMARL allows to quickly compare different MARL algorithms, tasks, and models while…

DuckDB extension that adds support for SQL/PGQ and graph algorithms

The AMLSim project is intended to provide a multi-agent based simulator that generates synthetic banking transaction data together with a set of known money laundering p…

30 Semi-Supervised Learning Algorithms

Optimize DSPy programs with dspy.GEPA — a reflective/evolutionary optimizer to consider against task-specific baselines within an authorized evaluation budget. Use when…

A growing library of assorted data structures, algorithms and utilities for OPENRNDR

Pybullet robotics simulation code for learning algorithms in Python

An open-source SDK for developing and testing algorithms on commonly used robotic hardware.