cvxgrp / dspLinks
A CVXPY extension for saddle problems
☆27Updated this week
Alternatives and similar repositories for dsp
Users that are interested in dsp are comparing it to the libraries listed below
Sorting:
- Code for "Automatic repair of convex optimization problems".☆14Updated 5 years ago
- Python interface for SCS☆44Updated last week
- ☆18Updated 2 years ago
- Documentation for the Clarabel interior point conic solver☆27Updated 4 months ago
- A CVXPY extension for multi-convex programming☆46Updated 2 years ago
- ☆77Updated 3 years ago
- Differentiation through cone programs☆106Updated last month
- Probabilistic solvers for differential equations in JAX. Adaptive ODE solvers with calibration, state-space model factorisations, and cus…☆53Updated 3 weeks ago
- ☆23Updated 4 months ago
- Lectures on Quantitative Economics Using JAX☆45Updated last week
- Python-based Derivative-Free Optimization with Bound Constraints☆89Updated 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 last year
- Probabilistic Numerical Differential Equation solvers via Bayesian filtering and smoothing☆130Updated 2 weeks ago
- Proximal algorithms for nonsmooth optimization in Julia☆136Updated 4 months ago
- Mathematical Programming in JAX☆106Updated 4 months ago
- A CVXPY extension for convex-concave programming☆133Updated this week
- Python-based Derivative-Free Optimizer for Least-Squares☆42Updated 3 weeks ago
- A zoo of implementations of differential equation problems in NumPy and JAX. Oscillators, chemical reactions, n-body problems, epidemiolo…☆16Updated last year
- test repo for Algorithms for Optimization☆31Updated 3 years ago
- APPM 5630 at CU Boulder☆51Updated 2 months ago
- A light interface to serial and multi-threaded Sequential Monte Carlo☆32Updated 3 years ago
- Differentiating optimization programs w.r.t. program parameters☆132Updated last week
- Predictive Uncertainty Quantification through Conformal Prediction for Machine Learning models trained in MLJ.☆143Updated 2 months ago
- IterGP: Computation-Aware Gaussian Process Inference (NeurIPS 2022)☆42Updated 2 years ago
- ☆39Updated this week
- Covariance prediction via convex optimization☆22Updated 4 years ago
- Compares Stan, PyMC, and PyMC + JAX numpyro sampler on a model for tennis☆32Updated 2 years ago
- Simplicial Homology Global Optimization☆53Updated 6 months ago
- Painless optimisation of constrained variables in AutoGrad, TensorFlow, PyTorch, and JAX☆23Updated 2 years ago
- Clarabel.jl: Interior-point solver for convex conic optimisation problems in Julia.☆224Updated 2 weeks ago