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
QP Benchmarks for the OSQP Solver against GUROBI, MOSEK, ECOS and qpOASES
Fast QP Solver in JAX
Implicit Differentiable Optimal Control (IDOC) with JAX
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.
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
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
A Python implementation of a conjugate gradient algorithm (GPCG) for solving bound-constrained quadratic programs.
Fast and accurate protein substructure searching with simulated annealing and GPUs
Solving the Soft Margin Support Vector Machine by scipy.optimize
everything about optimization
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