Search Results for "complex" - Page 53
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Showing 4007 open source projects for "complex"
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sigma.js
A JavaScript library dedicated to graph drawing
Sigma is a JavaScript library dedicated to graph drawing. It makes easy to publish networks on Web pages, and allows developers to integrate network exploration in rich Web applications. Sigma provides a lot of built-in features, such as Canvas and WebGL renderers or mouse and touch support, to make networks manipulation on Web pages smooth and fast for the user. The default configuration of sigma deals with mouse and touch support, refreshing and rescaling when the container's size changes,... -
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Mithril.js
A JavaScript framework for building brilliant applications
...No polyfills required. By default, Mithril views are described using hyperscript. Hyperscript offers a terse syntax that can be indented more naturally than HTML for complex tags, and since its syntax is just JavaScript, it's possible to leverage a lot of JavaScript tooling ecosystem. Mithril is all about getting meaningful work done efficiently. Doing file uploads? The docs show you how. Authentication? Documented too. Exit animations? You got it. No extra libraries, no magic. -
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Feathers
Framework for real-time applications and REST APIs with JavaScript
...Build prototypes in minutes and production-ready apps in days. Using the latest language features, Feathers is a small library that provides the structure to create complex applications but is flexible enough to not be in the way. Feathers is a “batteries included but easily swappable framework” with a large ecosystem of plugins. Include exactly what you need. No more, no less. Feathers has adapters for 12+ databases out of the box. You can have multiple databases in a single app and swap them out painlessly due to a consistent query interface. ... -
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PyTorch Lightning
The lightweight PyTorch wrapper for high-performance AI research
...PyTorch Lightning is the ultimate PyTorch research framework that allows you to focus on the research while it takes care of everything else. It's designed to decouple the science from the engineering in your PyTorch code, simplifying complex network coding and giving you maximum flexibility. PyTorch Lightning can be used for just about any type of research, and was built for the fast inference needed in AI research and production. When you need to scale up things like BERT and self-supervised learning, Lightning responds accordingly by automatically exporting to ONNX or TorchScript. ... -
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Jaffree
Java ffmpeg and ffprobe command-line wrapper
Jaffree is a Java library that provides a clean and modern API for interacting with FFmpeg, allowing developers to programmatically execute multimedia processing tasks. It abstracts the complexity of command-line FFmpeg usage by offering strongly typed Java classes for configuring inputs, outputs, codecs, and filters. The library supports streaming data, handling real-time processing scenarios, and integrating FFmpeg pipelines directly into Java applications. It is designed for flexibility... -
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GPU Puzzles
Solve puzzles. Learn CUDA
...The exercises are implemented using Python with the Numba CUDA interface, which allows Python code to compile into GPU kernels that run on CUDA-enabled hardware. By solving progressively more complex puzzles, learners gain a practical understanding of how parallel algorithms operate on graphics processing units. The project emphasizes experimentation and problem solving, encouraging learners to discover GPU programming techniques through trial and exploration. It can be run in cloud environments such as Google Colab, making it easy for beginners to start experimenting without configuring local GPU hardware. -
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kubectl-aliases
Programmatically generated handy kubectl aliases
...The aliases are programmatically generated from permutations of common verbs, resources, flags, and options, so you get short forms like kgpo for kubectl get pod and more complex ones that include namespaces, label selectors, and output formats. This dramatically speeds up interactive Kubernetes workflows, especially when you spend a lot of time inspecting pods, services, deployments, and logs. The repository also includes a Python script used to generate the aliases, which advanced users can tweak if they want a custom alias set. ... -
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APNGKit
High performance and delightful way to play with APNG format in iOS
...APNGKit offers a friendly API (e.g. APNGImage, APNGImageView) that behaves similarly to the standard image/image-view pattern, making it easy for iOS/macOS developers to adopt without learning complex new APIs. It handles loading, decoding, timing, and rendering of animated PNG frames, providing smooth animations, correct color and transparency handling, and performance optimizations. The library supports modern Apple platforms (iOS, macOS, tvOS, visionOS) and works with standard dependency managers (Swift Package Manager, CocoaPods), making integration into existing projects straightforward. -
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Pythonic Data Structures and Algorithms
Minimal examples of data structures and algorithms in Python
The Pythonic Data Structures and Algorithms repository by keon is a hands-on collection of implementations of classical data structures and algorithms written in Python. It offers working, often well-commented code for many standard algorithmic problems — from sorting/searching to graph algorithms, dynamic programming, data structures, and more — making it a valuable resource for learning and reference. For students preparing for technical interviews, self-learners brushing up on... -
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why-is-node-running
For when Node is running but you don't know why
why-is-node-running is a diagnostic tool for Node.js developers that helps answer the question: “why is my Node.js process still alive?” In complex asynchronous code — with timers, open handles, network sockets, file watchers, or unfulfilled promises — it can be tricky to figure out what is preventing the event loop from exiting. This utility inspects the active handles and resources in the runtime, prints a breakdown of open callbacks, sockets, timers, and other tasks, and explains what’s keeping Node running, helping you track down leaks or unintended resource retention. ... -
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UNO
A Universal Customization Method for Single and Multi Conditioning
UNO is a project by ByteDance introduced in 2025, titled “A Universal Customization Method for Both Single and Multi-Subject Conditioning.” It suggests a framework for image (or more general generative) modeling where the model can be conditioned either on a single subject or multiple subjects — which may correspond to generating or customizing images featuring specific people, styles, or objects, possibly with fine-grained control over subject identity or composition. Because the project is... -
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match-sorter
Simple, expected, and deterministic best-match sorting
match-sorter is a small JavaScript library that takes a list of items and returns them sorted by how well they match a given search query. It is designed to produce “simple, expected, and deterministic” results so users see intuitive matches instead of opaque fuzzy scores. The core API accepts arrays of strings or objects and returns a filtered, ranked list, making it a natural fit for search boxes, autocomplete components, and table filtering. It supports a variety of advanced options, such... -
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Code-Mode
Plug-and-play library to enable agents to call MCP and UTCP tools
...Its core philosophy is that language models are very good at writing code, so rather than exposing hundreds of separate tool endpoints, you give the model a single “code execution” tool that has access to your full toolkit through code. This approach can dramatically reduce the number of tool-call iterations needed in complex workflows, turning multi-step call chains into a single code execution with internal branching and loops. The repository contains both TypeScript and Python libraries, plus a code-mode-mcp component for integrating with MCP and UTCP ecosystems. Benchmarks in the README highlight improvements in latency and token cost for scenarios involving multiple tools, showing that code execution often outperforms traditional JSON-based function calling. -
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Controllable-RAG-Agent
This repository provides an advanced RAG
Controllable-RAG-Agent is an advanced Retrieval-Augmented Generation (RAG) system designed specifically for complex, multi-step question answering over your own documents. Instead of relying solely on simple semantic search, it builds a deterministic control graph that acts as the “brain” of the agent, orchestrating planning, retrieval, reasoning, and verification across many steps. The pipeline ingests PDFs, splits them into chapters, cleans and preprocesses text, then constructs vector stores for fine-grained chunks, chapter summaries, and book quotes to support nuanced queries. ... -
15
_s
Inactive project
...Its structure is intentionally opinionated about where code lives and how templates compose, which makes large customizations predictable and maintainable. Developers can opt into Sass and build helpers, but the theme is usable as a lightweight baseline even without a complex toolchain. Because it avoids design flourishes, Underscores encourages teams to layer their branding and components on top of a solid, well-documented skeleton that tracks WordPress best practices. -
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LLMStack
No-code multi-agent framework to build LLM Agents, workflows
LLMStack is a no-code platform for building generative AI agents, workflows and chatbots, connecting them to your data and business processes. Build tailor-made generative AI agents, applications and chatbots that cater to your unique needs by chaining multiple LLMs. Seamlessly integrate your own data, internal tools and GPT-powered models without any coding experience using LLMStack's no-code builder. Trigger your AI chains from Slack or Discord. Deploy to the cloud or on-premise. -
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Murex
A smarter shell and scripting environment with advanced features
Murex is a shell, like bash / zsh / fish / etc however Murex supports improved features and an enhanced UX. Support for additional type information in pipelines, which can be used for complex data formats like JSON or tables. Meaning all of your existing UNIX tools to work more intelligently and without any additional configuration. Usability improvements such as in-line spell checking, context-sensitive hint text that details the behavior of a command before you hit return, and auto-parsing man pages for auto-completions on commands that don't have auto-completions already defined. ... -
18
Playbook
A library for isolated developing UI components
...Besides, snapshots of each component can be automatically generated by unit tests, and visual regression testing can be performed using arbitrary third-party tools. For complex modern app development, it’s important to catch UI changes more sensitively and keep improving them faster. With the Playbook, you don't have to struggle through preparing the data and spend human resources for manual testings. -
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Kedro
A Python framework for creating reproducible, maintainable code
Kedro is an open sourced Python framework for creating maintainable and modular data science code. Provides the scaffolding to build more complex data and machine-learning pipelines. In addition, there's a focus on spending less time on the tedious "plumbing" required to maintain data science code; this means that you have more time to solve new problems. Standardises team workflows; the modular structure of Kedro facilitates a higher level of collaboration when teams solve problems together. ... -
20
Radiance libraries
Building modern, elegant and fast Swing applications
...Font APIs can be used to render platform-consistent textual content across a variety of supported platforms. Animation provides powerful and flexible animation APIs that scale from simple, single-property cases to complex scenarios that involve multiple animations. It powers all animations in the Radiance libraries. Theming provides a comprehensive set of APIs for skinning Swing applications, addressing the most demanding, modern design requirements. It comes with built-in support for all core Swing components, and a flexible API surface for rendering third-party / application components. -
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Design Patterns Library
A comprehensive design patterns library implemented in C#
A comprehensive design patterns library implemented in C#, which covers various design patterns from the most commonly used ones to the lesser-known ones. Get familiar with and learn design patterns through moderately realistic examples. In software engineering, a design pattern is a general repeatable solution to a commonly occurring problem in software design. A design pattern isn't a finished design that can be transformed directly into code. It is a description or template for how to... -
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FLAML
A fast library for AutoML and tuning
...Users can find their desired customizability from a smooth range: minimal customization (computational resource budget), medium customization (e.g., scikit-style learner, search space, and metric), or full customization (arbitrary training and evaluation code). It supports fast automatic tuning, capable of handling complex constraints/guidance/early stopping. FLAML is powered by a new, cost-effective hyperparameter optimization and learner selection method invented by Microsoft Research. -
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Kornia
Open Source Differentiable Computer Vision Library
...At its core, the package uses PyTorch as its main backend both for efficiency and to take advantage of the reverse-mode auto-differentiation to define and compute the gradient of complex functions. Inspired by existing packages, this library is composed by a subset of packages containing operators that can be inserted within neural networks to train models to perform image transformations, epipolar geometry, depth estimation, and low-level image processing such as filtering and edge detection that operate directly on tensors. ... -
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Cloud Custodian
Rules engine for cloud security, cost optimization, and governance
...Garbage collects unused resources by looking into utilization metrics. Custodian can be run locally, on an instance, or Serverless in AWS Lambda. Cloud Custodian is open source and free for everyone to use. Use Custodian to build complex workflows or simple queries, millions of policies can be constructed using our easy-to-read DSL. -
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Conductor
Conductor is an event driven agentic workflow engine for AI agents
Conductor is an open-source, durable workflow orchestration engine designed to manage distributed systems, microservices, and AI-driven applications at internet scale. Originally built at Netflix and actively maintained by Orkes and the open-source community, Conductor simplifies complex workflow management by handling retries, failures, state persistence, and long-running process execution automatically. The platform enables developers to orchestrate AI agents, APIs, human approvals, and microservices using flexible JSON-based workflows with dynamic runtime execution. Conductor supports durable execution, deterministic orchestration, workflow replayability, and horizontal scalability, making it suitable for enterprise-grade applications and mission-critical automation. ...
