Numerical optimization in pure Rust
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Updated
Aug 5, 2024 - Rust
Numerical optimization in pure Rust
Portfolio optimization and back-testing.
A C++ platform to perform parallel computations of optimisation tasks (global and local) via the asynchronous generalized island model.
A Python platform to perform parallel computations of optimisation tasks (global and local) via the asynchronous generalized island model.
Use PyTorch Models with CasADi for data-driven optimization or learning-based optimal control. Supports Acados.
ET is a Batch/PowerShell GUI script to improve performance, debloat, optimize and enhance privacy for Windows 10/11.
Making your benchmark of optimization algorithms simple and open
zoofs is a python library for performing feature selection using a variety of nature-inspired wrapper algorithms. The algorithms range from swarm-intelligence to physics-based to Evolutionary. It's easy to use , flexible and powerful tool to reduce your feature size.
A next-gen solver for optimization with nonconvex objective and constraints. Reimplements filterSQP and IPOPT (barrier) in a modern and generic way, and unlocks a variety of novel methods. Competitive against filterSQP, IPOPT, SNOPT, MINOS and CONOPT.
A course on Optimization Methods
A development environment for robust and global optimization
Derivative-Free Global Optimization Algorithm (C++, Python binding) - Continuous, Discrete, TSP, NLS, MINLP
A list of general purpose tricks and techniques for saving tokens in PICO-8.
A solver for mixed-integer nonlinear optimization problems
(NeurIPS 2020) Transductive Information Maximization for Few-Shot Learning https://arxiv.org/abs/2008.11297
Line search methods for optimization and root-finding
An open source library for the GPU-implementation of L-BFGS-B algorithm
💎A site, that contains systematic optimization methods and theory review
A collection of numerical methods written in Nim
Implementation of various optimization methods
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