Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.

Implementation of metaheuristic optimization methods in Python for scientific, industrial, and educational scenarios. Experiments can be executed in parallel or in a distributed fashion. Experimental results can be evaluated in various ways, including diagrams, tables, and export to Excel.

Library for generating time-optimal trajectories for FRC robots. Used by the HelixNavigator path planning app.

A linearity-exploiting sparse nonlinear constrained optimization problem solver that uses the interior-point method.

On-device Neural Engine

vue-i18n extensions

This is the golang client integration for Pyroscope

Retirement planner with great wisdom

ReSHOP solver

Operations research tools for Ruby

Differentiable solver for time-dependent deformation problems with contact

Open standard for mathematical programming interoperability

Speed up the loading of your world.

PennyLane is a cross-platform Python library for quantum computing, quantum machine learning, and quantum chemistry. Train a quantum computer the same way as a neural network.

100% Vanilla Javascript Multithreading & Parallel Execution Library

A JavaScript checker and optimizer.

This repo stores my optimization theory notes.

Fastest(?) Optimised BF interpreter in Go

An environment for MODular construction of OPTimization algorithms

Explanation system for semi-supervised multi-objective optimization