MIT-Lu-Lab / MPAXLinks
Mathematical Programming in JAX
☆108Updated 4 months ago
Alternatives and similar repositories for MPAX
Users that are interested in MPAX are comparing it to the libraries listed below
Sorting:
- The Machine Learning Optimizer☆104Updated 2 years ago
- Software Platform for solving and manipulating multiparametric programs in Python☆43Updated last month
- Differentiation through cone programs☆108Updated 2 months ago
- A GPU-Accelerated First-Order LP Solver☆59Updated 2 weeks ago
- Neural ODEs as Feedback Policies for Nonlinear Optimal Control (IFAC 2023) https://doi.org/10.1016/j.ifacol.2023.10.1248☆18Updated 2 years ago
- A trust-region interior-point method for general nonlinear programing problems (GSoC 2017).☆37Updated 7 years ago
- ☆23Updated 4 months ago
- Learning-to-Optimize for Mixed-Integer Non-Linear Programming☆48Updated 3 weeks ago
- An active set-based NLP solver☆20Updated last year
- Experimental first-order solvers for linear and quadratic programming.☆120Updated last year
- Learning Neural Differential Algebraic Equations via Operator Splitting☆20Updated 3 months ago
- GPU-based first-order solver for linear programming.☆91Updated 8 months ago
- Stochastic Optimization under Uncertainty in Python.☆36Updated 4 months ago
- ☆39Updated 2 weeks ago
- A solver for mixed-integer nonlinear optimization problems☆126Updated 2 months ago
- Python interface for CUDA implementation of OSQP☆101Updated 4 years ago
- NonOpt: Nonconvex, Nonsmooth Optimizer☆19Updated 4 months ago
- Combinatorial optimization layers for machine learning pipelines☆128Updated 2 months ago
- Source files for our regularization paper!☆16Updated 6 years ago
- Reinforcement learning environments for process control applications.☆65Updated last week
- Python module for polyhedral geometry☆76Updated 6 months ago
- A Python 3 gradient-free optimization library☆146Updated 2 months ago
- A Python package for linear subspace identification, nonlinear system identification, and nonlinear regression using Jax☆49Updated 3 weeks ago
- PEPit is a package enabling computer-assisted worst-case analyses of first-order optimization methods.☆89Updated 2 months ago
- Parallel Presolve for Integer and Linear Optimization☆75Updated last week
- Constrained optimization for Pytorch using the SQP-GS algorithm☆37Updated last year
- A highly customizable SQP & barrier solver for nonlinearly constrained optimization☆385Updated last week
- ☆30Updated 7 months ago
- Code of the Performance Estimation Toolbox (PESTO) whose aim is to ease the access to the PEP methodology for performing worst-case analy…☆54Updated last year
- Mathematical Modeling for Optimization and Machine Learning☆157Updated 3 weeks ago