Portfolio Optimization and Quantitative Strategic Asset Allocation in Python
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Updated
Oct 4, 2023 - C++
Portfolio Optimization and Quantitative Strategic Asset Allocation in Python
The Operator Splitting QP Solver
Portfolio optimization with deep learning.
Portfolio optimization.
Awesome Multitask Learning Resources
Mathematical Optimization in Julia. Local, global, gradient-based and derivative-free. Linear, Quadratic, Convex, Mixed-Integer, and Nonlinear Optimization in one simple, fast, and differentiable interface.
A Julia package for disciplined convex programming
Meta-Learning with Differentiable Convex Optimization (CVPR 2019 Oral)
Splitting Conic Solver
Simple Eigen-C++ wrapper for OSQP library
Input Convex Neural Networks
COSMO: Accelerated ADMM-based solver for convex conic optimisation problems (LP, QP, SOCP, SDP, ExpCP, PowCP). Automatic chordal decomposition of sparse semidefinite programs.
General optimization (LP, MIP, QP, continuous and discrete optimization etc.) using Python
Open-L2O: A Comprehensive and Reproducible Benchmark for Learning to Optimize Algorithms
Collected study materials in Numerical Optimization ANU@MATH3514(HPC)
Sequential Convex Programming Toolbox for nonconvex trajectory optimization.
MoveIt kinematics_base plugin based on particle optimization & GA
A JavaScript library to allocate and optimize financial portfolios.
Clarabel.rs: Interior-point solver for convex conic optimisation problems in Rust.
Multi-Purpose MPC for Reference Path Tracking, Time-Optimal Driving and Obstacle Avoidance
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