Osqp
| Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
|---|---|---|---|---|---|---|---|---|---|---|
| Ray | 25,916 |  | 80 | 199 | a day ago | 76 | June 09, 2022 | 2,905 | apache-2.0 | Python |
| Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a toolkit of libraries (Ray AIR) for accelerating ML workloads. | ||||||||||
| Deep Learning Drizzle | 10,767 | 6 months ago | 6 | HTML | ||||||
| Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!! | ||||||||||
| Optuna | 8,179 |  | 26 | 214 | a day ago | 49 | June 13, 2022 | 131 | other | Python |
| A hyperparameter optimization framework | ||||||||||
| Nebuly | 8,163 | 2 days ago | 100 | apache-2.0 | Python | |||||
| The next-generation platform to monitor and optimize your AI costs in one place 🚀 | ||||||||||
| Serve | 3,489 |  | 11 | 2 days ago | 14 | May 13, 2022 | 283 | apache-2.0 | Java | |
| Serve, optimize and scale PyTorch models in production | ||||||||||
| Scikit Optimize | 2,594 |  | 80 | 133 | 21 days ago | 19 | October 12, 2021 | 301 | bsd-3-clause | Python |
| Sequential model-based optimization with a `scipy.optimize` interface | ||||||||||
| Awesome Quantum Machine Learning | 2,206 | 3 months ago | 8 | cc0-1.0 | HTML | |||||
| Here you can get all the Quantum Machine learning Basics, Algorithms ,Study Materials ,Projects and the descriptions of the projects around the web | ||||||||||
| Awesome System For Machine Learning | 1,940 | 2 months ago | 12 | mit | ||||||
| A curated list of research in machine learning systems (MLSys). Paper notes are also provided. | ||||||||||
| Awesome Robotics Libraries | 1,804 | 25 days ago | 2 | cc0-1.0 | ||||||
| :sunglasses: A curated list of robotics libraries and software | ||||||||||
| Pennylane | 1,779 |  | 10 | 24 | a day ago | 33 | June 20, 2022 | 315 | apache-2.0 | Python |
| PennyLane is a cross-platform Python library for differentiable programming of quantum computers. Train a quantum computer the same way as a neural network. | ||||||||||
The Operator Splitting QP Solver
Join our forum on Discourse for any questions related to the solver!
The documentation is available at osqp.org
The OSQP (Operator Splitting Quadratic Program) solver is a numerical optimization package for solving problems in the form
minimize 0.5 x' P x + q' x
subject to l <= A x <= u
where x in R^n is the optimization variable. The objective function is defined by a positive semidefinite matrix P in S^n_+ and vector q in R^n. The linear constraints are defined by matrix A in R^{m x n} and vectors l and u so that l_i in R U {-inf} and u_i in R U {+inf} for all i in 1,...,m.
Citing OSQP
If you are using OSQP for your work, we encourage you to
- Cite the related papers,
- Put a star on this repository.
We are looking forward to hearing your success stories with OSQP! Please share them with us.
Bug reports and support
Please report any issues via the Github issue tracker. All types of issues are welcome including bug reports, documentation typos, feature requests and so on.
Numerical benchmarks
Numerical benchmarks against other solvers are available here.
