ConstrainedSampler / PolytopeSamplerMatlabLinks
A matlab implementation for sampling log-concave distributions with polytope constraints
☆16Updated 8 months ago
Alternatives and similar repositories for PolytopeSamplerMatlab
Users that are interested in PolytopeSamplerMatlab are comparing it to the libraries listed below
Sorting:
- Combinatorial optimization layers for machine learning pipelines☆124Updated last month
- ☆20Updated this week
- MATLAB implementation of the Scalable Semidefinite Programming☆26Updated last year
- ☆23Updated last year
- Julia implementation for various Frank-Wolfe and Conditional Gradient variants☆103Updated this week
- ☆38Updated 3 years ago
- Fast hyperparameter settings for non-smooth estimators:☆40Updated 2 years ago
- Cone program refinement☆10Updated 5 years ago
- Website for the book "The Elements of Differentiable Programming".☆13Updated 9 months ago
- ☆28Updated last month
- ☆15Updated 2 years ago
- A collection of commonly used datasets as benchmarks for density estimation in MaLe☆19Updated 5 years ago
- ☆10Updated last year
- ☆12Updated 3 years ago
- Reduced-space optimization, for optimal power flow.☆19Updated 2 months ago
- Sum-product networks in Julia.☆37Updated 2 years ago
- Special Structure Detection for Pyomo☆27Updated 2 years ago
- Differentiation through cone programs☆101Updated 4 months ago
- Distributionally Robust Learning in PyTorch. Install with `pip install sqwash`.☆12Updated last year
- A Julia implementation of sparse Gaussian processes via path-wise doubly stochastic variational inference.☆33Updated 4 years ago
- Experimental first-order solvers for linear and quadratic programming.☆116Updated last year
- Probabilistic ODE solvers are fun, but are they fast? See also: https://github.com/pnkraemer/probdiffeq for JAX code or https://github.c…☆21Updated 10 months ago
- ☆31Updated 2 years ago
- Probabilistic Circuits in Julia☆10Updated last year
- Semidefinite programming optimization solver☆95Updated last week
- Riemannian Optimization Using JAX☆49Updated last year
- Practical tools for quantifying how well a sample approximates a target distribution☆27Updated 4 years ago
- ☆21Updated this week
- ☆17Updated this week
- A framework for composing Neural Processes in Julia☆76Updated 4 years ago