Disciplined nonlinear programming extension of CVXPY.

LP presolver

SParse lINear solvers in JAX

Collection of builder repositories for BinaryBuilder.jl

GPU-Accelerated First-Order Method with Randomized Sampling for Binary Integer Programs

A development environment for robust and global optimization

A Python-embedded modeling language for convex optimization problems.

NVIDIA Math Libraries for the Python Ecosystem

Nvidia contributed CUDA tutorial for Numba

NVIDIA curated collection of educational resources related to general purpose GPU programming.

Exploratory work for building and solving multiple linear systems in batch.

A Julia interface to NVIDIA's cuOpt

A scalable linear programming based algorithm for K-Means clustering

A GPU-Accelerated First-Order LP Solver

Control Barrier Functions in Python and Jax

An open library of Generalized Disjunctive Programming (GDP) models

Julia implementation for various Frank-Wolfe and Conditional Gradient variants

GPU accelerated decision optimization

Quadratic Objective Conic Optimizer

The GPU-based primal-dual conic solver

Scrapes the recreation.gov website to check for campsite availabilities 🏕🏕

Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more

A machine learning compiler for GPUs, CPUs, and ML accelerators

QP Benchmarks for the OSQP Solver against GUROBI, MOSEK, ECOS and qpOASES

Oryx is a library for probabilistic programming and deep learning built on top of Jax.

A solver for nonlinear programming with GPU support

This repository is the the implementation of the JAIR paper: https://doi.org/10.1613/jair.1.15320. This repository provides the codebase for benchmarking Predict-then-Optimize (PtO) problems using …

MIT IAP short course: Matrix Calculus for Machine Learning and Beyond