A fast and differentiable QP solver for PyTorch.
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Updated
Sep 3, 2024 - Python
A fast and differentiable QP solver for PyTorch.
Quadratic programming solvers in Python with a unified API
Benchmark for quadratic programming solvers available in Python
Python interface for OSQP
Python-based algebraic modeling interface to GAMS
QP Benchmarks for the OSQP Solver against GUROBI, MOSEK, ECOS and qpOASES
Quadratic Programming based Python Package for Portfolio Optimization
Fast QP Solver in JAX
Regularized Composite ReLU-ReHU Loss Minimization with Linear Computation and Linear Convergence
pyQpController is the proof of concept simulator attached to the paper: Impact-Friendly Robust Control Design with Task-Space Quadratic Optimization. Examples are provided to brew your own multi-objective robot controllers in python.
Implicit Differentiable Optimal Control (IDOC) with JAX
Optimizers for/and sklearn compatible Machine Learning models
Python package for linear and quadratic programming
Drop-in replacement of sklearn's Linear Regression with coefficients constraints
A Python implementation of a conjugate gradient algorithm (GPCG) for solving bound-constrained quadratic programs.
Master's thesis project, showing a safe RL agent that stabilises and always keeps a power system safe (even during training)
This repository contains the code examples of the book "Einführung in Optimierungsmodelle" ("Introduction to Optimization Models") (Sudermann-Merx, 2023)
Utilities for working with bqpjson data
A set of toy problems solved using QP programming
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