Search Results for "optimization" - Page 3
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137 projects for "optimization" with 2 filters applied:
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C++ Library of Abstract Algebra concepts and arithmetic algorithms defined in terms of these concepts, using Instigate Generic Programming Methodology. Based on this library we plan to develop Linear Algebra and Optimization concepts and algorithms.
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genshin_artifact
Genshin Impact artifacts assessment, artifacts auto combination
genshin_artifact is a specialized optimization and analysis tool designed for the game Genshin Impact, focusing on evaluating and recommending optimal artifact builds for characters. It uses computational models and heuristic optimization algorithms to simulate damage output, stat scaling, and equipment combinations, helping players identify the most effective setups. The system allows users to adjust parameters such as buffs, team composition, and character stats, providing detailed breakdowns of how different configurations impact performance. ... -
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Adaptive Simulated Annealing (ASA)
simulated annealing optimization and importance-sampling
Adaptive Simulated Annealing (ASA) is a C-language code that finds the best global fit of a nonlinear cost-function over a D-dimensional space. ASA has over 100 OPTIONS to provide robust tuning over many classes of nonlinear stochastic systems. -
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Evolutionary Algorithm
Evolutionary Algorithm using Python
...Rather than being a single monolithic library, this repository provides a series of self-contained examples showing how different population-based search methods solve optimization problems and adapt candidate solutions over generations. Users can explore basic genetic algorithm setups, match phrase examples, pathfinding challenges, and microbial GA variants, as well as evolution strategy approaches like NES. The project also links classical evolutionary approaches with neural networks, illustrating how evolution can be used for model training in reinforcement learning and supervised contexts. -
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Metatheory.jl
General purpose algebraic metaprogramming
Metatheory.jl is a general purpose term rewriting, metaprogramming and algebraic computation library for the Julia programming language, designed to take advantage of the powerful reflection capabilities to bridge the gap between symbolic mathematics, abstract interpretation, equational reasoning, optimization, composable compiler transforms, and advanced homoiconic pattern matching features. The core features of Metatheory.jl are a powerful rewrite rule definition language, a vast library of functional combinators for classical term rewriting and an e-graph rewriting, a fresh approach to term rewriting achieved through an equality saturation algorithm. ... -
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learn2learn
A PyTorch Library for Meta-learning Research
...It provides reusable components and meta-learning algorithms, making it easier to build, train, and evaluate models that can quickly adapt to new tasks with minimal data. Learn2Learn is widely used in research for tasks such as few-shot classification, reinforcement learning, and optimization. -
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es-utils
ElasticSearch Utilities
es-utils is a collection of command-line utilities designed to simplify the monitoring and management of Elasticsearch clusters. It provides tools for searching, monitoring, and maintaining Elasticsearch indices, making cluster administration more efficient. -
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Rouille
Web framework in Rust
...However, rouille's design makes it easy to use in conjunction with any third-party library without the need for any glue code. The rouille library just ignores this optimization and focuses on providing an easy-to-use synchronous API instead, where each request is handled in its own dedicated thread. -
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OptimTraj
A trajectory optimization library for Matlab
OptimTraj is a MATLAB toolbox for solving trajectory optimization problems. It supports direct collocation, shooting methods, and pseudospectral methods for finding optimal control inputs and system trajectories. It is useful for robotics, aerospace, biomechanics, and any domain requiring time-optimal or energy-optimal motion planning. -
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Fruit
Fruit, a dependency injection framework for C++
...Modules declare provided interfaces and requirements, and the injector ensures the whole graph is complete before you ship, eliminating many runtime surprises. Because bindings are ordinary C++ code, they integrate naturally with headers, visibility rules, and link-time optimization. Fruit’s design aims to deliver the ergonomics of DI frameworks from managed languages while staying faithful to C++ performance and compile-time guarantees. -
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Java Best Practices
Best practices in Coding, Designing and Architecting Java Applications
...It provides guidelines and examples that demonstrate how to write clean, efficient, and scalable code following industry standards. The project covers topics such as naming conventions, exception handling, performance optimization, and design principles. It helps developers transition from basic coding knowledge to professional-level practices. The repository emphasizes consistency and clarity in code structure, making it easier to collaborate in team environments. It also introduces patterns that reduce technical debt and improve long-term maintainability. ... -
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Angular Performance Checklist
Cheatsheet for developing lightning fast progressive Angular apps
...It outlines actionable recommendations — from bundling and minification, tree-shaking, lazy loading, ahead-of-time (AoT) compilation, resource prefetching, caching and compression, to runtime strategies like change-detection optimization (OnPush, detaching change detectors), minimizing DOM operations, optimizing templates, using pure pipes, minimizing watchers, and more. The checklist is designed to be framework-agnostic in many parts, but especially valuable for Angular developers wanting to build responsive, fast-loading, efficient single-page applications. -
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Julia.jl
Curated decibans of Julia programming language
Julia.jl is a curated collection of knowledge resources for the Julia programming language, designed to support high-performance numerical analysis and computational science. The repository aggregates diverse content across domains such as mathematics, physics, data science, optimization, machine learning, and supercomputing. It functions as a structured index, helping developers, researchers, and learners easily find materials to deepen their understanding of Julia’s ecosystem. The project emphasizes community contributions, encouraging users to expand and refine the resource pool. With a wide range of topic-focused documents, it provides both academic and practical references for applied research and development. ... -
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pyTorch Tutorials
Build your neural network easy and fast
...The project is structured around clear, executable Python scripts and Jupyter notebooks that demonstrate regression, classification, convolutional networks, recurrent networks, autoencoders, and generative adversarial networks, which gives learners practical exposure to real machine learning tasks. Each example explains PyTorch’s dynamic computation graph, optimization techniques, and core abstractions in a way that is accessible and reproducible. Contributors and authors integrate visual and coded examples so readers can see both the theory and the implementation side-by-side. -
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printpdf
Rust / WASM library for reading, writing and rendering PDF
...It includes advanced typography capabilities such as character spacing, scaling, superscript, and subscript, as well as support for Unicode text. printpdf also offers optimization features like font subsetting to reduce file size, making generated PDFs more efficient. Experimental capabilities include rendering PDF pages to SVG and extracting text content, expanding its use cases beyond simple document generation. -
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The ASCO project aims to bring circuit optimization capabilities to existing SPICE simulators using a high-performance parallel differential evolution (DE) optimization algorithm. It supports Eldo, HSPICE, LTspice, Spectre, and Qucs.
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Game-Programmer-Study-Notes
A collection of reading notes from my career as a game programmer
The Game-Programmer-Study-Notes project is a comprehensive collection of study materials aimed at aspiring and professional game developers. It compiles notes, tutorials, and references covering a wide range of topics such as graphics programming, game engine architecture, mathematics, and optimization techniques. The repository is structured to guide learners through fundamental and advanced concepts, making it suitable for both beginners and experienced programmers. It includes insights from industry practices as well as academic knowledge, bridging the gap between theory and real-world application. The content is often supplemented with diagrams, examples, and explanations that clarify complex topics. ... -
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Fecshop (Yii2 Fecshop)
yii2 (PHP) fecmal (fecshop) core code used for ecommerce shop
...It is designed to provide a complete solution for building scalable and customizable online stores. Fecshop offers features like multi-language support, multi-currency options, SEO optimization, and integration with third-party payment gateways. The modular architecture makes it flexible, allowing developers to extend and customize the store as needed. -
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libRSF
A robust sensor fusion library for online localization
...The general idea of factor graphs is to describe the state estimation problem as a graph of nodes (the state variables) that are connected by factors (measurements). The resulting graph optimization problem can be solved by applying non-linear least squares optimization. -
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UNMAINTAINED: Try https://github.com/pjoe/loadem instead This project aims to provide a tool for load testing web applications. The goal is a tool that is easy to use and provides near real-time performance measurements of the application under test which is very usefull during optimization.
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Zopfli
Zopfli Compression Algorithm is a compression library
...A companion utility, zopflipng, targets PNGs by trying alternate filter strategies and recompressing IDAT chunks, often achieving additional savings without changing image quality. The codebase includes both a reusable library and ready-to-use CLI tools for bulk optimization in build pipelines. It is frequently used offline—e.g., as a final step in release builds—because decode speed remains normal while files get smaller. -
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Browser diet
The definitive front-end performance guide
...The project was built as a static site powered by DocPad, with content written in Markdown and translated into multiple languages, making it accessible to a global audience. Its tone is intentionally playful (with a “diet” metaphor for trimming page weight) to make performance optimization less intimidating and more approachable. The repository provides the full source of the site, including styles, content, and build pipeline so others can run it locally or fork it to create customized guides. Even though it is not a tool or library, browser-diet has been influential as an educational resource that demystifies front-end performance. -
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TF Quant Finance
High-performance TensorFlow library for quantitative finance
TF Quant Finance is a high-performance library of quantitative finance components built on TensorFlow, aimed at research and production workloads. It implements pricing engines, risk measures, stochastic models, optimizers, and random number generators that are differentiable and vectorized for accelerators. Users can value options and fixed-income instruments, simulate paths, fit curves, and calibrate models while leveraging TensorFlow’s jit compilation and automatic differentiation. The... -
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pytorch-examples
Simple examples to introduce PyTorch
The pytorch-examples project is a collection of concise and practical examples demonstrating how to use PyTorch for machine learning and deep learning tasks. It focuses on clarity and minimalism, providing small, self-contained scripts that illustrate key concepts such as neural network training, optimization, and data handling. The examples cover a range of topics including supervised learning, generative models, and reinforcement learning, making it a valuable resource for both beginners and experienced practitioners. By emphasizing readable code, the repository helps users understand how PyTorch’s imperative programming style enables flexible model development. ... -
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Enlive
Selector-based templating and transformation system for Clojure
...It allows selecting, transforming, and generating HTML fragments using CSS selectors, and supports server-side template composition, dynamic pages, and content rewriting. By default selector-transformation pairs are run sequentially. When you know that several transformations are independent, you can now specify (as an optimization) to process them in lockstep. Note that this doesn't work with fragments selectors. Transformations are now slightly restricted in their return values: a node or a collection of nodes (instead of freely nested collections of nodes).
