Search Results for "optimization" - Page 2
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121 projects for "optimization" with 2 filters applied:
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Build Agents and Models on One PlatformGemini Enterprise Agent Platform is Google Cloud's comprehensive platform for developers to build, scale, govern, and optimize agents and models. Choose from Google's most advanced models and third-party models like Anthropic's Claude Model Family.
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Stop Cyber Threats with VM-Series Next-Gen Firewall on AzureGain integrated visibility across all traffic in a single pass. Deploy Palo Alto Networks VM-Series to determine application identity and content while automating security policy updates via rich APIs.
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SIA
AI framework to autonomously improve the performance of any AI system
...The framework can refine both the harness around the task and the agent implementation itself. It is aimed at research and experimentation across tasks such as machine learning benchmarks, legal classification, code optimization, and scientific workflows. It includes built-in tasks, a command-line runner, and a visual dashboard for following generations as they evolve. It also lets users define custom providers, profiles, seed agents, and task directories without changing the core code. -
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Spring Batch
Spring Batch is a framework for writing batch applications using Java
...Spring Batch provides reusable functions that are essential in processing large volumes of records, including logging/tracing, transaction management, job processing statistics, job restart, skip, and resource management. It also provides more advanced technical services and features that will enable extremely high-volume and high performance batch jobs through optimization and partitioning techniques. Simple as well as complex, high-volume batch jobs can leverage the framework in a highly scalable manner to process significant volumes of information. -
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Google Kubernetes Engine (GKE) Samples
Sample applications for Google Kubernetes Engine (GKE)
...It serves as a practical companion to official GKE tutorials, providing real, runnable code that illustrates how containerized applications are packaged, deployed, and scaled within Kubernetes clusters. The repository is organized into multiple categories such as AI and machine learning, autoscaling, networking, observability, security, and cost optimization, allowing developers to explore specific use cases and architectural patterns. It includes both simple quickstart examples, like basic “hello world” applications, and more advanced scenarios such as migrating monolithic applications to microservices, implementing service meshes, and configuring custom autoscaling metrics. -
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Canvas
Publishing on your own terms
Canvas is a fully open source package to extend your existing Laravel application and get you up and running with a blog in just a few minutes. In addition to a distraction-free writing experience, you can view monthly trends on your content, get insights into reader traffic and more. Canvas is a powerful tool for Laravel apps that makes it easy to write, edit, and brand your work with a range of publishing tools. Incorporate meaningful tags, informative meta data, and canonical links to... -
$300 Free Credits for Your Google Cloud ProjectsLaunch your next project with $300 in free Google Cloud credits—no strings attached. Test, build, and deploy without risk. Use your credits across the entire Google Cloud platform to find what works best for your needs. After your credits are used, continue with always-free tier services. Only pay when you're ready to scale. Sign up in minutes and start exploring.
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JavaFamily
Java Interview + Java Study Guide
JavaFamily is a large educational repository that aggregates knowledge, tutorials, and resources related to Java development and backend engineering. It covers a wide range of topics including core Java, Spring framework, microservices, distributed systems, and performance optimization. The project is designed to help developers build a strong foundation while also exploring advanced concepts used in enterprise environments. It includes explanations, code samples, and curated resources that guide learners through different aspects of the Java ecosystem. The repository also emphasizes interview preparation, making it useful for developers seeking to improve their job prospects. ... -
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lru-cache
A fast cache that automatically deletes the least recently used items
...The implementation focuses on correctness, speed, and compatibility with modern Node.js environments. Overall, node-lru-cache provides a reliable building block for performance optimization in JavaScript backends. -
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XLS
XLS: Accelerated HW Synthesis
...At the front end, DSLX lets you describe algorithms with strong typing and familiar control flow while remaining synthesis-friendly. The compiler lowers DSLX into a rich intermediate representation, applies aggressive optimization and scheduling passes, and can either JIT the design for software simulation or emit Verilog for FPGA/ASIC flows. A key idea is “software-style” iteration: fast, deterministic simulation via the JIT encourages test-driven development and property checking before committing to RTL. XLS also provides tooling for pipelining, state insertion, and formal equivalence checks between different stages, giving developers confidence as designs evolve. ... -
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NGINX Admin’s Handbook
How to improve NGINX performance, security, and other important things
nginx-admins-handbook is a practical, in-depth guide for configuring, securing, and operating NGINX across real-world deployments. It distills years of research, notes, and field experience into a single handbook that complements the official docs with concrete rules, explanations, and curated external references. The handbook spans fundamentals and advanced topics alike, from HTTP and SSL/TLS basics to reverse proxy patterns, performance tuning, debugging workflows, and hardening... -
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The Algorithms Python
All Algorithms implemented in Python
...It serves primarily as an educational resource for learners and developers who want to understand how algorithms work under the hood. Each implementation is designed with clarity in mind, favoring readability and comprehension over performance optimization. The project covers various domains including mathematics, cryptography, machine learning, sorting, graph theory, and more. With contributions from a large global community, it continually grows and improves through collaboration and peer review. This repository is an ideal reference for students, educators, and developers seeking hands-on experience with algorithmic concepts in Python. -
Error to trace to log to deploy. One click. No SSH.AppSignal links every error to the trace, the trace to the log, the log to the deploy that shipped it.
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Hugo PaperMod
A fast, clean, responsive Hugo theme
PaperMod is a fast, minimal-yet-featureful theme for the Hugo static site generator, aimed at blogs, documentation sites, and personal pages. It focuses on clean typography, responsive layouts, and sensible defaults, while exposing a large set of front-matter and config options. Built-in features include dark/light modes, archive and taxonomy views, reading-time indicators, breadcrumbs, and an optional profile/landing layout. Client-side search, code highlighting, social links, and comment... -
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Claude Cookbooks
A collection of notebooks/recipes showcasing ways of using Claude
...The repository includes structured examples for integrating Claude with external tools, databases, and APIs, showcasing how to extend its functionality beyond basic text generation. It also covers advanced techniques like sub-agent orchestration, prompt optimization, and automated evaluation workflows. The content is organized into thematic sections, allowing users to explore specific capabilities or integration patterns systematically. Designed with accessibility in mind, the examples are primarily written in Python but can be adapted to other languages. -
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Numba CUDA Target
The CUDA target for Numba
...It is also used as a foundation for accelerating higher-level libraries such as RAPIDS, where custom user-defined GPU functions are required. The repository represents the continuation of CUDA support after its deprecation in core Numba, ensuring ongoing development and optimization under NVIDIA’s ecosystem. -
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Markdown Site
An open-source publishing framework built for AI agents and developers
...The framework supports an efficient authoring experience via a simple terminal sync command that keeps content synchronized across connected browsers, AI tools, and discovery engines. By leveraging Convex for backend real-time data management and Netlify for static hosting, markdown-site enables rich publishing features like SEO optimization, full-text search, analytics dashboards, and AI-indexed content tailored to LLM workflows. -
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Go Katas
A collection of daily coding challenges
...It mirrors the kata practice tradition from martial arts—repetitive, thoughtful practice where each exercise reinforces technique, discipline, and problem-solving approach. Each kata prompt focuses on a precise aspect of Go, such as concurrency patterns, memory management, interfaces, error handling, or performance optimization, giving learners structured practice opportunities that go beyond syntax. Implementations can be tested locally, graded automatically with included test suites, and iterated on so that learners get rapid feedback and measurable progress. Because Go is widely used for backend services, cloud tooling, and systems programming, this repository helps participants build confidence in writing reliable, idiomatic, and maintainable code in real environments. -
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UI Skills
A growing set of skills to polish interfaces built by agents
UI Skills is a curated collection of skills designed to help AI agents and tools automatically improve user interfaces by applying best-practice adjustments and fixes, making frontend workflows more reliable and performant. It provides a suite of modular routines that can be added to an AI agent’s pipeline so that interfaces are polished for accessibility, metadata correctness, performance, and visual consistency without requiring manual tweaking for each change. The project includes skills... -
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ngraph.path
Path finding in a graph
...It provides a clean API for constructing graph models, assigning weights to edges, and querying for optimal routes between nodes, making it useful for routing, games, maps, and network optimization. The library includes several algorithm implementations such as A*, Dijkstra’s, and breadth-first search, each suited to different types of graph structure and performance needs. It can be integrated with visualization libraries like VivaGraphJS to animate or highlight computed paths in a rendered graph, enabling interactive routing features. ... -
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Laravel Page Speed
Package to optimize your site automatically
Simple package to minify HTML output on demand which results in a 35%+ optimization. Laravel Page Speed was created by Renato Marinho, and currently maintained by João Roberto P. Borges, Lucas Mesquita Borges and Renato Marinho. The RemoveQuotes::class filter eliminates unnecessary quotation marks from HTML attributes. While required by the various HTML specifications, browsers permit their omission when the value of an attribute is composed of a certain subset of characters (alphanumerics and some punctuation characters). ... -
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EKS Best Practices
A best practices guide for day 2 operations
...Rather than a code library, it serves as a reference catalogue of patterns, anti-patterns, checklists and architectures across domains such as security, reliability, scalability, networking, cost optimization and hybrid cloud deployments. The repository is maintained by AWS but open to contributions from the community, making it a living document that evolves as Kubernetes and AWS features evolve. Each section dives into operational details—for example, how to manage IAM roles for service accounts, secure the EKS endpoint, handle node auto-scaling, and design for multi-AZ resilience. ... -
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MBR WP Performance
Comprehensive WordPress performance optimization plugin
MBR WP Performance is the WordPress optimisation plugin for users who want real control. Instead of hiding complexity behind a single button, it provides transparent, granular controls for every performance technique—so you understand exactly what each feature does. Core Features: Disable WordPress features that you don’t need. Self-host and preload Google Fonts, lazy load images and videos, defer/delay JavaScript execution, generate and inline critical CSS, preload critical resources,... -
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Hasktorch
Tensors and neural networks in Haskell
Hasktorch is a powerful Haskell library for tensor computation and neural network modeling, built on top of libtorch (the backend of PyTorch). It brings differentiable programming, automatic differentiation, and efficient tensor operations into Haskell’s strongly typed functional paradigm. This project is in active development, so expect changes to the library API as it evolves. We would like to invite new users to join our Hasktorch discord space for questions and discussions.... -
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ECLiPSe CLP
ECLiPSe Constraint Logic Programming System
The ECLiPSe Constraint Logic Programming System is designed for solving combinatorial optimization problems, for the development of new constraint solver technology and their hybrids, and for the teaching of modelling, solving and search techniques. -
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ClashN
A clash client for Windows, support Mihomo
...System-wide proxy control, including PAC and TUN/TAP options, helps route applications that don’t natively support proxies. Logs, traffic charts, and connection inspectors make troubleshooting and optimization straightforward. For power users, granular profile editing and hot-reloading reduce the friction of iterating on configurations. -
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FRODO 2
Open-Source Framework for Distributed Constraint Optimization (DCOP)
FRODO is a Java platform to solve Distributed Constraint Satisfaction Problems (DisCSPs) and Optimization Problems (DCOPs). It provides implementations for a variety of algorithms, including DPOP (and its variants), ADOPT, SynchBB, DSA... -
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Dlib is a C++ toolkit containing machine learning algorithms and tools for creating complex software in C++ to solve real world problems.
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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.
