Search Results for "no code" - Page 20
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8533 projects for "no code" with 1 filter applied:
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Harness
A meta-skill that designs domain-specific agent teams
Harness is a meta-skill framework designed to automate the creation and orchestration of domain-specific AI agent teams within Claude Code environments. Instead of manually defining agents and their behaviors, it generates specialized agents, assigns them roles, and produces the skills they need to execute tasks effectively. The system focuses on scaling agent-based workflows by dynamically assembling teams tailored to specific problems. It enables structured collaboration between agents, allowing them to divide work and operate in coordinated pipelines. ... -
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LeetCode Book
Comprehensive study guide for coding interviews
...Explanations are concise but intentional, highlighting why a pattern fits, how to reason about boundary cases, and the time/space trade-offs. Many entries include template code and “swap-in” variations, helping you recognize how the same technique adapts across similar problems. The book also emphasizes problem-solving habits like deriving invariants, choosing appropriate data structures, and verifying with small counterexamples. It’s suitable for newcomers building fundamentals and for experienced engineers polishing timing and correctness under interview pressure. -
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zag
Finite state machines for building accessible design systems and UI
...Write component logic once and use it anywhere. Built-in adapters that connect machine output to DOM semantics in a WAI-ARIA-compliant way. Component logic is largely JavaScript code and can be consumed in any JS framework. Zag machine APIs are completely headless and unstyled. Use your favorite styling solution and get it matching your design system. Finite state machines for building accessible design systems and UI components. Works with React, Vue and Solid. -
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FlowGram
Extensible workflow development framework
...Instead of shipping as a ready-made product, it provides the building blocks — a canvas for wiring together nodes, a form engine for configuring node parameters, a variable-scope and type-inference engine, and a set of “materials” (pre-built node types such as code execution, conditional logic, LLM calls, etc.) that can be composed into larger workflows. This makes FlowGram highly flexible: you can prototype data-processing pipelines, AI-agent flows, automation scripts, or even business process automation without writing all the plumbing yourself. The framework supports both free-layout canvases (for free-form graphs) and fixed-layout canvases (for more structured flowcharts, including loops, branches, compound nodes), giving you visual freedom depending on your use-case. -
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NeMo Automodel
Pytorch Distributed native training library for LLMs/VLMs
NeMo AutoModel is NVIDIA's open-source PyTorch Distributed training library for scaling LLM, VLM, diffusion, and retrieval-model training. Its DTensor-native SPMD approach lets the same training code scale from one GPU to large multi-node clusters by changing configuration. Hugging Face integration provides broad model compatibility without requiring format conversion. YAML recipes and CLI overrides keep experiments concise while preserving reproducibility. The library supports composable parallelism, optimized kernels, MoE acceleration, mixed precision, sequence packing, and asynchronous checkpointing. ... -
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Node.js HTTP Proxy Agents Monorepo
Node.js HTTP Proxy Agents Monorepo
...An LRU cache reuses compatible agent instances across requests to reduce repeated setup work. The repository also includes shared foundations, URI helpers, PAC resolution utilities, negotiation code, tests, and TypeScript configuration. Applications can use the main package as a drop-in Node HTTP agent or import a protocol-specific module for greater control. The project centralizes maintenance and versioning for a widely used family of proxy networking packages. -
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Pop!_OS
A project for managing all Pop!_OS sources
Pop!_OS repository serves as the central source code hub for Pop!_OS, a Linux distribution developed by System76 and based on Ubuntu, designed to deliver a polished and performance-oriented desktop experience. It contains packaging, configuration, and system-level customizations that define how Pop!_OS behaves and differentiates itself from standard Ubuntu installations. The project integrates system tools, hardware optimizations, and user interface components into a cohesive operating system tailored for developers, creators, and power users. ... -
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todo-comments.nvim
Highlight, list and search todo comments in your projects
todo-comments.nvim is a Neovim plugin that highlights and searches for comment annotations such as TODO, FIX, HACK, and others. It helps developers keep track of tasks, warnings, or issues left in code by providing colorful highlights and integration with search tools like Telescope. The plugin is written in Lua and is highly configurable to match different workflows. -
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Symfony OptionsResolver
Provides an improved replacement for the array_replace PHP function
...It helps developers define, validate, and normalize configuration arrays, making it easier to manage options passed to classes or functions. The component ensures that the provided options meet the expected structure and values, improving code robustness and flexibility. -
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SymbolicUtils.jl
Symbolic expressions, rewriting and simplification
SymbolicUtils is a practical symbolic programming utility in Julia. It lets you create, rewrite and simplify symbolic expressions, and generate Julia code from them. SymbolicUtils.jl provides various utilities for symbolic computing. SymbolicUtils.jl is what one would use to build a Computer Algebra System (CAS). If you're looking for a complete CAS, similar to SymPy or Mathematica, see Symbolics.jl. If you want to build a crazy CAS for your weird Octonian algebras, you've come to the right place. ... -
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DeepSeek-V3.2-Exp
An experimental version of DeepSeek model
...According to the authors, they aligned the training setup of V3.2-Exp with V3.1-Terminus so that benchmark results remain largely comparable, even though the internal attention mechanism changes. In public evaluations across a variety of reasoning, code, and question-answering benchmarks (e.g. MMLU, LiveCodeBench, AIME, Codeforces, etc.), V3.2-Exp shows performance very close to or in some cases matching that of V3.1-Terminus. The repository includes tools and kernels to support the new sparse architecture—for instance, CUDA kernels, logit indexers, and open-source modules like FlashMLA and DeepGEMM are invoked for performance. -
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Banish crusty code with the Uncrustify C/C++/C#/D/Java/Pawn source code beautifier. It indents, adds newlines, aligns, etc, and is highly configurable.
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AutoAgent
AutoAgent: Fully-Automated and Zero-Code LLM Agent Framework
AutoAgent is a fully automated, zero-code LLM agent framework that lets users create agents and workflows using natural language instead of manual coding and configuration. It is structured around modes that cover both “use” and “build” scenarios: a user mode for running a ready-made multi-agent research assistant, plus editors for creating individual agents or multi-agent workflows from conversational requirements. -
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STranslate
A ready-to-go translation ocr tool developed with WPF/WPF
STranslate is a lightweight, open-source machine translation front end that lets users translate text between languages using a variety of supported back-end translation engines or APIs, offering a simple GUI for quick translation tasks without needing to write code or use complex web UIs. The application is designed to be small, cross-platform, and flexible, giving users the ability to type or paste text and receive instant translations while optionally selecting the desired language pairs or switching between multiple service providers. By abstracting backend complexity, STranslate makes it easy for both casual users and developers to get translations in local apps, offline modes (where supported), or even integrate translation workflows into larger projects via plugins or scripting hooks. ... -
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CosyVoice
Multi-lingual large voice generation model, providing inference
...It is designed for zero-shot voice cloning and cross-lingual or mix-lingual scenarios, so a single reference voice can be used to synthesize speech across languages and in code-switching contexts. CosyVoice 2.0 significantly improves on version 1.0 by boosting accuracy, stability, speed, and overall speech quality, making it more suitable for production environments. The repository contains training recipes, inference pipelines, deployment scripts, and integration examples, positioning it as a comprehensive toolkit rather than just a set of model weights. -
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Advanced Search Operators List
List of the links to the docs for different services
Advanced Search Operators List is a reference collection for learning powerful search syntax across many websites and applications. Instead of focusing only on Google dorks, it links directly to documentation for search operators used by email services, social networks, code platforms, productivity tools, search engines, and specialized databases. Covered platforms include Gmail, Outlook, GitHub, GitLab, Reddit, LinkedIn, Discord, Jira, Slack, Shodan, Censys, and many others. Additional sections cover marketplaces, maps, images, libraries, news, customer support, and IoT search engines. The repository also catalogs browser extensions and tools that help users construct advanced queries. ... -
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Dorks collections list
List of Github repositories and articles with list of dorks
...It covers multiple search and discovery platforms rather than focusing only on Google. Sections include resources for GitHub, Shodan, Censys, VirusTotal, Netlas, DuckDuckGo, Yandex, code hosting, cloud services, onion indexes, and other specialized targets. The repository also groups material by research purpose, such as finding files, technical assets, public documents, backlinks, or bug-bounty information. Separate lists are stored for selected topics including cloud providers, CCTV, movies, and onion searches. ... -
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learn_python3_spider
Python crawler tutorial series, learning Python crawlers from 0 to 1
...Data can be stored with CSV, MySQL, or MongoDB examples. More advanced material explores anti-scraping defenses, JavaScript analysis, WebSocket data, and distributed crawlers. The repository includes practical source-code examples for scraping several real-world websites and services. -
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Duel Agents
CLI, SDK, and IDE plugins for Duel Agents
...The system is positioned as a routing layer that compares outputs from multiple models and selects a cost-conscious answer that meets quality expectations. It supports installation for Claude Code, Cursor, Codex CLI, OpenClaw, and all supported tools through a single installer. Developers can also build on top of it with the SDK and OpenAI-compatible or Anthropic-compatible request patterns. It is useful for users who want a centralized model-routing layer across coding tools, scripts, and agent workflows. -
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improve
Use your most capable model to audit your codebase
...Its core idea is to use a stronger model for understanding, judgment, and planning, then hand the actual implementation to cheaper or separate execution agents. The skill does not modify code by default, because its main output is a self-contained plan. It can run full, quick, deep, security-focused, branch-scoped, and feature-suggestion audits. It maps repository conventions, identifies findings, writes ordered markdown plans, and records verification steps such as lint, build, and test commands. It is useful for teams that want AI-assisted technical planning without letting the planning model directly change production code. -
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Swift Macros
A curated list of awesome Swift Macros
...Its structure makes it easier to discover practical macro use cases without searching across scattered blog posts and packages. It is especially valuable for developers moving from code-generation tools toward Swift’s built-in macro system. Swift-Macros is not a single library, but a reference hub for learning the Swift macro ecosystem and finding useful implementation patterns. -
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deepsec
Deepsec is a security harness for finding vulnerabilities
...The project is especially relevant for teams that need to uncover long-standing vulnerabilities hidden inside complex application code. -
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RL with PyTorch
Clean, Robust, and Unified PyTorch implementation
...The project focuses on helping developers and researchers understand reinforcement learning methods by providing clean and reproducible implementations of well-known algorithms. It includes code for popular deep reinforcement learning techniques such as Deep Q-Networks, policy gradient methods, actor-critic architectures, and other modern RL approaches. The repository is structured so that users can easily experiment with different algorithms and training environments. Many examples demonstrate how agents learn to interact with simulated environments through trial and error using reinforcement learning principles. ... -
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FluentValidation
.NET validation library for building strongly-typed validation rules
FluentValidation is a popular .NET library offering a fluent, expressive interface for building strongly-typed validation rules. It supports modern .NET runtimes including .NET 8+, and integrates smoothly into .NET Core, Blazor, and other ecosystems. FluentValidation has adopted the Code of Conduct defined by the Contributor Covenant to clarify expected behavior in our community. For more information see the .NET Foundation Code of Conduct. A validation library for .NET that uses a fluent interface and lambda expressions for building strongly-typed validation rules. -
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Retrofit
Type-safe HTTP client for Android and Java by Square
...It allows developers to define REST API calls using simple interface annotations, automatically converting responses into Java objects using converters like Gson or Moshi. Retrofit greatly simplifies network requests by abstracting away boilerplate code, making API integration in mobile and Java apps seamless and maintainable.
