Merging loops for speed in JavaScript
Apply ARM NEON for image processing & NEON Intrinsics reference implementation.
Shared functionalities for multiple infrastructure network optimization packages
Go evolutionary algorithm is a computer library for developing evolutionary and genetic algorithms to solve optimisation problems with (or not) many c...
Type-safe modelling DSL, symbolic transformation, and code generation for solving optimization problems.
Babel plugin to optimize Mithril m() calls into simple JS objects for speed
Glsl Optimizer based on Mesa3D implementation for Opengl 4.5 (450) (Vertex/Geom/Fragment/Tesselation Support)
<picture> component with image processing as side-effect
A collection of various computational methods to optimize a user's investment portfolio using Modern Portfolio Theory and optimizing various factors s...
The ideal tool for exploring global marine biogeochemical cycles.
Common hyperparameter scheduling for ML
Optimization using Stochastic quasi-Newton methods
A collection of general Fortran modules in the categories Computational, Date and Time, Input / Output, Math / Numerics, Screening, Sensitivity Analys...
Yaml
Library of swarm-intelligence algorithms
Unsupervised ML algorithm for predictive modeling and time-series analysis
SAT-based, MILP, and belief propagation preimage attacks on SHA-256 and other cryptographic hash functions
Calculate Optimal Design of Rocket Propulsion Systems (Kerbal Space Program).
CERE: Codelet Extractor and REplayer
Experiments to speed up ADMM optimization algorithm for linear & semidefinite programming
ecr: Evolutionary Computation in R (version 2)
RaPId (a recursive acronym for "Rapid Parameter Identification") utilizes different optimization and simulation technologies to provide a framework fo...
CVXPY Portfolio Optimization Sample
Open-source repository containing examples and documentation for the Cognizant XPRIZE Pandemic Response Challenge
A free CDN for WordPress static assets.
Python compiler that massively increases Python's code performance without code changes.
Gentle introduction and demo of the adjoint variable method for electromagnetic inverse design
A Java Framework for Ant Colony Optimization algorithms.
Intro to Deep Learning by National Research University Higher School of Economics
Variable splitting network for accelerated parallel MRI reconstruction
2D or 3D multilateration in C++/C#/JS/Matlab/Python
The C/C++/Fortran compiler collection written in Java
Recurrent Back Propagation, Back Propagation Through Optimization, ICML 2018
Library for performance bottleneck detection and optimization efficiency prediction
The Hungarian(Kuhn-Munkres) algorithm for Julia
Code-completion, CLI tools and asset management/optimization for Unreal Engine 4 in VSCode.
Derive the optimal cache hit ratio for Internet request traces with variable object sizes.
Lightweight header-only matrix library (C++) for numerical optimization and machine learning. Contact me if there is an exciting opportunity.
[OLD] Moe is a C++14 header-only dependency-free library providing generic implementations of some metaheuristic algorithms
Different meta-heuristic optimization techniques for feature selection
The PyTorch Implementation of Variable Optimizers/ Neural Variable Risk Minimization proposed in our Neural Computation paper: Artificial Neural Varia...
A MathOptInterface Optimizer to solve JuMP models using GAMS
Optimization algorithms by M.J.D. Powell
Learning to Learn: Gradient-free Optimization framework
A python metaheuristic optimization library. Currently supports Genetic Algorithms, Gravitational Search, Cross Entropy, and PBIL.
↘️ Trivial compile-time Razor HTML Minifier for ASP.NET MVC 5.
How to solve the traveling salesman problem with the 2-opt algorithm, a fast heuristic search algorithm.
Python-based Derivative-Free Optimizer for Least-Squares
Matlab Simulation for T. K. Vu, M. Bennis, S. Samarakoon, M. Debbah and M. Latva-aho, "Joint In-Band Backhauling and Interference Mitigation in 5G Het...
Collective Knowledge crowd-tuning extension to let users crowdsource their experiments (using portable Collective Knowledge workflows) such as perform...