969 skills found · Page 4 of 33
EvotecIT / HtmlTinkerXHtmlTinkerX is a powerful async C# library for HTML, CSS, and JS processing, parsing, formatting, and optimization. It provides web content processing capabilities including browser automation, document parsing with multiple engines, resource optimization, and more. PSParseHTML is the PowerShell module exposing HtmlTinkerX to PowerShell.
kobaltz / Action AuthActionAuth is an authentication Rails engine crafted to integrate seamlessly with your Rails application. Optimized for Rails 7.2.0, it employs the most modern authentication techniques and streamlined token reset processes.
iamarunbrahma / Pdf To MarkdownConversion of PDF documents to structured Markdown, optimized for Retrieval Augmented Generation (RAG) and other NLP tasks. Extract text, tables, and images with preserved formatting for enhanced information retrieval and processing.
CliMA / EnsembleKalmanProcesses.jlImplements Optimization and approximate uncertainty quantification algorithms, Ensemble Kalman Inversion, and Ensemble Kalman Processes.
kamilbaczek / Modular Monolith By ExampleModular monolith architecture example in .NET. Estimation Tool is tool to optimize estimation process in IT company.
RuiShu / Nn Bayesian OptimizationWe use a modified neural network instead of Gaussian process for Bayesian optimization.
OneSavieLabs / BastetBastet is a comprehensive dataset of common smart contract vulnerabilities in DeFi along with an AI-driven automated detection process to enhance vulnerability detection accuracy and optimize security lifecycle management.
SajadAHMAD1 / Chaotic GSA For Engineering Design ProblemsAll nature-inspired algorithms involve two processes namely exploration and exploitation. For getting optimal performance, there should be a proper balance between these processes. Further, the majority of the optimization algorithms suffer from local minima entrapment problem and slow convergence speed. To alleviate these problems, researchers are now using chaotic maps. The Chaotic Gravitational Search Algorithm (CGSA) is a physics-based heuristic algorithm inspired by Newton's gravity principle and laws of motion. It uses 10 chaotic maps for global search and fast convergence speed. Basically, in GSA gravitational constant (G) is utilized for adaptive learning of the agents. For increasing the learning speed of the agents, chaotic maps are added to gravitational constant. The practical applicability of CGSA has been accessed through by applying it to nine Mechanical and Civil engineering design problems which include Welded Beam Design (WBD), Compression Spring Design (CSD), Pressure Vessel Design (PVD), Speed Reducer Design (SRD), Gear Train Design (GTD), Three Bar Truss (TBT), Stepped Cantilever Beam design (SCBD), Multiple Disc Clutch Brake Design (MDCBD), and Hydrodynamic Thrust Bearing Design (HTBD). The CGSA has been compared with seven state of the art stochastic algorithms particularly Constriction Coefficient based Particle Swarm Optimization and Gravitational Search Algorithm (CPSOGSA), Standard Gravitational Search Algorithm (GSA), Classical Particle Swarm Optimization (PSO), Biogeography Based Optimization (BBO), Continuous Genetic Algorithm (GA), Differential Evolution (DE), and Ant Colony Optimization (ACO). The experimental results indicate that CGSA shows efficient performance as compared to other seven participating algorithms.
google-research / HyperboPre-trained Gaussian processes for Bayesian optimization
wooseongY / Go RIO[ICRA 2025 Best Paper Award Finalist] Ground-Optimized 4D Radar-Inertial Odometry via Continuous Velocity Integration using Gaussian Process
mratsim / SynthesisSynthesis is a compiletime, procedure-based, low-overhead, no-allocation, state-machine generator optimized for communicating processes and threads
awslabs / Node Latency For K8sThe node-latency-for-k8s tool provides process-level telemetry via prometheus metrics, cloudwatch metrics, and markdown timing charts to optimized K8s node launch times.
MrinmoiHossain / Deep Learning Specialization CourseraDeep Learning Specialization Course by Coursera. Neural Networks, Deep Learning, Hyper Tuning, Regularization, Optimization, Data Processing, Convolutional NN, Sequence Models are including this Course.
pixlpa / WebGL Feedback DemoWebGL setup for rendering multi-pass shader networks, optimized for complex texture/image processing
hamutama / PromptPETPromptPET: A comprehensive toolkit for Prompt Engineering, offering advanced tools for crafting, refining, and optimizing prompts and flow engineering processes
yerongke / Hyperspectral Data ProcessingSpectral data processing, including preprocessing, feature extraction, sample division, modeling, optimization algorithm.
HewlettPackard / LlmeshLLM Agentic Tool Mesh Platform is an innovative platform designed to streamline and enhance the use of AI in various applications. It serves as a central hub to orchestrate 'Intelligent Plugins,' optimizing AI interactions and processes.
Daniel-Liu-c0deb0t / UMICollapseAccelerating the deduplication and collapsing process for reads with Unique Molecular Identifiers (UMI). Heavily optimized for scalability and orders of magnitude faster than a previous tool.
nuxt-community / Webpackmonitor ModuleMonitor nuxt webpack optimization metrics through the development process using webpackmonitor
manishkatyan / Bbb OptimizeBetter audio quality, increase recording processing speed, dynamic video profile, pagination, fix 1007/1020 errors and use apply-config.sh to manage your customizations are some key techniques for you to optimize and smoothly run your BigBlueButton servers.
