Awesome GitHub RepositoriesIterative Error Minimization

Primitive is an algorithmic art generator and geometric image reconstruction tool that transforms raster images into stylized vector compositions. It functions as an iterative shape optimizer and raster-to-vector converter, approximating pixel-based photos by layering geometric primitives such as triangles, circles, and rectangles. The project utilizes a search algorithm to determine the optimal position, size, and color for each shape to minimize the visual difference from the source image. Users can apply shape constraint definitions to control the properties and orientations of the geometr

Hyperopt is a Python library for hyperparameter optimization designed to minimize scalar-valued objective functions. It operates as a stochastic search space engine that finds optimal input parameters by searching through real-valued, discrete, and conditional spaces. The framework distinguishes itself through its support for complex search space configurations, allowing for conditional parameter hierarchies where specific hyperparameters are sampled only if their parent parameters meet certain criteria. It is built as an asynchronous optimization framework, decoupling the generation of searc

This repository serves as an educational resource and framework for scientific computing, focusing on the intersection of machine learning and physical system simulation. It provides a collection of instructional materials, including handwritten notes and code examples, designed to explain the mathematical foundations of probabilistic modeling and algorithmic implementation. The project functions as a physics simulation framework, utilizing finite element discretization and automatic differentiation to model fluid and structural mechanics. By integrating these numerical methods with iterative