Search Results for "optimization"
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55 projects for "optimization" with 2 filters applied:
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1
Theseus
A library for differentiable nonlinear optimization
...Theseus bridges the gap between classical optimization and deep learning, enabling hybrid systems that learn components. -
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The NLopt module for Julia
Package to call the NLopt nonlinear-optimization library from Julia
This module provides a Julia-language interface to the free/open-source NLopt library for nonlinear optimization. NLopt provides a common interface for many different optimization algorithms. -
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BayesianOptimization
A Python implementation of global optimization with gaussian processes
BayesianOptimization is a Python library that helps find the maximum (or minimum) of expensive or unknown objective functions using Bayesian optimization. This technique is especially useful for hyperparameter tuning in machine learning, where evaluating the objective function is costly. The library provides an easy-to-use API for defining bounds and optimizing over parameter spaces using probabilistic models like Gaussian Processes. -
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CasADi
CasADi is a symbolic framework for numeric optimization
CasADi is a symbolic framework for numeric optimization implementing automatic differentiation in forward and reverse modes on sparse matrix-valued computational graphs. It supports self-contained C-code generation and interfaces state-of-the-art codes such as SUNDIALS, IPOPT, etc. It can be used in C++, Python, or Matlab/Octave. CasADi's backbone is a symbolic framework implementing forward and reverse modes of AD on expression graphs to construct gradients, large-and-sparse Jacobians, and Hessians. ... -
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claude-code-best-practice
Practice made claude perfect
...It also explores operational concerns such as permissions management, sandboxing, debugging workflows, and context optimization. By combining conceptual guidance with concrete examples and configuration patterns, the project helps teams move from experimental AI usage toward more production-ready agent orchestration. -
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Anomalib
An anomaly detection library comprising state-of-the-art algorithms
...Its design supports unsupervised or semi-supervised paradigms, making it especially powerful for scenarios where only “normal” data is readily available and defects must be detected without exhaustive labeling. Combined with its CLI and integration with optimization tools like OpenVINO, it’s suitable for both research and edge deployment tasks. -
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Manifolds.jl
Manifolds.jl provides a library of manifolds
Package Manifolds.jl aims to provide both a unified interface to define and use manifolds as well as a library of manifolds to use for your projects. This package is mostly stable, see #438 for planned upcoming changes. The implemented manifolds are accompanied by their mathematical formulae. The manifolds are implemented using the interface for manifolds given in ManifoldsBase.jl. You can use that interface to implement your own software on manifolds, such that all manifolds based on that... -
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fe-advanced-interview
A Guide to Advanced Front-End Interviews
fe-advanced-interview is a comprehensive front-end engineering interview preparation repository focused on advanced web development concepts, system design, and real-world technical problem solving. The project compiles high-level interview questions and explanations covering JavaScript internals, browser rendering, networking, performance optimization, frameworks, architecture, and engineering best practices. Unlike beginner-focused interview guides, it emphasizes deeper understanding of how front-end technologies work internally and how large-scale applications are designed and maintained. The repository is structured as a learning resource for experienced developers preparing for senior engineering interviews at major technology companies. ... -
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Tunix
A JAX-native LLM Post-Training Library
...It embraces JAX’s strengths—functional programming, jit compilation, and effortless multi-device execution—so experiments scale from a single GPU to pods of TPUs with minimal code changes. The library is organized around modular pipelines for data loading, rollout, optimization, and evaluation, letting practitioners swap components without rewriting the whole stack. Examples and reference configs demonstrate end-to-end runs for common model families, helping teams reproduce baselines before customizing. Tunix also leans into research ergonomics: logging, checkpointing, and metrics are built in, and the code is written to be hackable rather than monolithic. ... -
Auth0 B2B Essentials: SSO, MFA, and RBAC Built InAuth0's B2B Essentials plan gives you everything you need to ship secure multi-tenant apps. Unlimited orgs, enterprise SSO, RBAC, audit log streaming, and higher auth and API limits included. Add on M2M tokens, enterprise MFA, or additional SSO connections as you scale.
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Yoast WordPress SEO
Yoast SEO for WordPress
The Yoast SEO plugin is the most popular SEO tool for WordPress, offering comprehensive tools to optimize content for search engines. It provides real-time page analysis, readability checks, and automated metadata handling to improve website visibility. -
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PowerGlitch
Tiny JS library to glitch anything on the web
PowerGlitch is a standalone library with no external dependencies. It leverages CSS animations to glitch anything on the web, without using a canvas. It weights less than 2kb minified and gzipped. -
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ccapi
A header-only C++ library for interacting with crypto exchanges
A header-only C++ library for streaming market data and executing trades directly from cryptocurrency exchanges (i.e. the connections are between your server and the exchange server without anything in-between). -
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Windows 11 Guide
Windows Security tools, Encryption, Nextcloud, Graphics, Gaming
Windows 11 Guide is a comprehensive, single-repository handbook for setting up and tuning a Windows 11 (and often Windows 10) desktop for real day-to-day use, covering everything from basic configuration to advanced development and gaming scenarios. It walks users through installing essential applications, configuring Windows security tools, setting up encryption and backups, and integrating productivity services like Nextcloud. The guide also dives into graphics and gaming optimizations,... -
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Chumsky
Write expressive, high-performance parsers with ease.
Chumsky is a parser library for Rust that focuses on expressiveness and performance. It provides developers with tools to write high-performance parsers using combinators, suitable for a wide range of parsing tasks. -
15
MathPHP
Powerful modern math library for PHP
Math PHP is a library that brings advanced mathematical functions and data analysis capabilities to PHP applications. It covers a wide range of topics, including linear algebra, calculus, statistics, probability, and numerical analysis. Math PHP is designed for developers and data scientists who require precise and efficient mathematical computations in PHP, making it suitable for scientific computing and data processing. -
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XZ Utils
Open-source compression utility and library
...The toolkit supports streaming, multi-threaded operation, and integrity checking to ensure reliable data handling. Overall, xz serves as a foundational compression technology for modern open-source software distribution and storage optimization. -
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BentoCache
Bentocache is a robust multi-tier caching library for Node.js app
...It offers decorators for easy function-level caching and is designed to be lightweight, extensible, and developer-friendly. Bentocache is well-suited for performance optimization in web apps, scripts, and data pipelines. -
18
warp-yg
Warp multi-function one-click script, supports warp-go and wgcf
warp-yg is a script-based toolkit designed to automate the deployment and optimization of Cloudflare WARP networking configurations for enhanced privacy and performance. It focuses on simplifying the integration of WireGuard-based WARP connections into proxy environments, allowing users to route traffic through optimized Cloudflare endpoints. The project includes functionality for selecting optimal endpoints and improving connection speed by dynamically identifying efficient routes. ... -
19
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. -
20
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. -
22
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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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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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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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....
