JAX in JavaScript – an ML library for the web, running on WebGPU & Wasm

One config to rule them all.

NVIDIA Math Libraries for the Python Ecosystem

DiffOpt + Dualization + JuMP.value = AffineRegions

Experimental Approach to McCormick Relaxation Source-Code Transformation

TinyMPC-integrated firmware for the Crazyflie Nano Quadcopter

GPU accelerated decision optimization

An early research stage expert-parallel load balancer for MoE models based on linear programming.

SParse lINear solvers in JAX

a convex quadratic program to optimally rank college football teams based on game outcomes

Admm-based Interior Point Method for Linear Programming

A Parallel SAT Solver with GPU Accelerated Inprocessing

Model and solve optimal control problems in Julia, both on CPU and GPU.

A JuMP-based Nonlinear Integer Program Solver

SES tracking, suppressions, and previews for Rails

Solver of multiobjective linear optimization problems (MOMIP, MOLP, MOIP, MOCO): generic part

A general-purpose, deep learning-first library for constrained optimization in PyTorch

Code for manuscript for mp Benders

Meta-Algorithms for OptiGraphs with Plasmo.jl

WebGL-based 3D visualizer for Python

Package for compiling and bundling julia binaries, specially trimmed ones

This repository contains a JAX implementation of Πnet, an output layer for neural networks that ensures the satisfaction of specified convex constraints.

Sparse Tensor Programming in Pure Python

LinearSolve.jl: High-Performance Unified Interface for Linear Solvers in Julia. Easily switch between factorization and Krylov methods, add preconditioners, and all in one interface.

A solver for nonlinear programming with GPU support

You like pytorch? You like micrograd? You love tinygrad! ❤️

Python and Julia in harmony.