Search Results for "no coding" - Page 25
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Showing 1773 open source projects for "no coding"
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Danghuangshang
AI Court Building Complete Tutorial - From Zero Basics to Advanced
...The project supports several organizational modes, including a Ming-style cabinet, a Tang-style review workflow, and a modern executive-team structure. Agents can be assigned responsibilities such as coding, architecture, finance, operations, marketing, project management, legal review, and automated code inspection. The system includes memory, scheduled tasks, sandbox isolation, multi-platform access, and a web dashboard for monitoring status and usage. It is intended for users who want a practical AI agent team template rather than a low-level framework they must assemble from scratch. -
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DeepSpec
A full-stack codebase for training and evaluating speculative decoding
...It then trains a draft model using configuration files for different algorithms and target model setups. The evaluation pipeline measures speculative decoding performance across benchmark tasks such as math, coding, instruction-following, and chat-style datasets. Overall, it is useful for researchers and engineers studying faster language model inference through speculative decoding methods. -
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pytudes
Python programs, usually short, of considerable difficulty
...It is useful for programmers who want to study elegant Python code while learning how experienced developers approach problem solving. Many examples emphasize clarity and compactness rather than framework-heavy engineering. pytudes is best understood as a learning library, a coding style reference, and a set of practical programming studies. -
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zerolang
The programming language for agents
zerolang, also called Zero, is an experimental agent-first programming language from Vercel Labs. It explores what programming might look like when AI agents are treated as primary users from the start. The language aims to be small, regular, and easy for agents to learn from examples, diagnostics, and documentation. Its tooling is designed to expose structured facts for checking, running, formatting, debugging, repair, graph inspection, and size reporting. The project is pre-1 and... -
Ship Agents FasterGemini Enterprise Agent Platform lets you rapidly build, scale, govern and optimize production-ready agents grounded in your organization's data. The platform enables developers to build custom or pre-built agents for virtually any use case. New customers get $300 in free credits.
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tobi try
Fresh directories for every vibe
try is a lightweight Ruby command-line tool for managing short-lived experiment directories. It is built for developers who constantly create quick tests, prototypes, proof-of-concepts, and late-night coding experiments that usually get lost across temporary folders. The tool gives every experiment a dated home, then makes it easy to find and reopen past work with fuzzy search. It favors simplicity, using a one-file Ruby script with no dependencies and very little setup. Smart sorting brings recently used experiments to the top, which helps users jump back into active ideas without remembering exact folder names. ... -
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GitHubPoster
Make everything a GitHub svg poster and Skyline
...The project is built around loaders that import data and render it as visually recognizable contribution-style graphics. It is useful for people who want to display habits, reading, coding, health, language learning, or other quantified-life records in a GitHub-inspired format. It can be run locally from the command line and can also be automated through GitHub Actions. Its modular approach makes it possible for contributors to add new data sources over time. -
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clawchief
Turn your OpenClaw into a Chief of Staff
...The architecture likely includes task planning, delegation logic, and feedback loops that enable iterative refinement of outputs. It is particularly useful in scenarios where multiple agents must collaborate on interdependent tasks, such as coding, research, or automation pipelines. The system may also include monitoring tools to track agent performance and identify failures or inefficiencies. -
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Bulletproof React
A simple, scalable, and powerful architecture for building production
Bulletproof React is a best-practice template and architectural guideline for building scalable, maintainable, and production-ready React applications. It provides a well-structured project setup that emphasizes separation of concerns, modular design, and consistent coding standards. The project incorporates modern development patterns, including state management strategies, API integration, and testing frameworks, ensuring that applications are robust and easy to maintain. It also includes guidelines for organizing codebases, making it easier for teams to collaborate and scale projects over time. ... -
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Attention Residuals (AttnRes)
Drop-in replacement for standard residual connections in Transformers
...Attention Residuals introduces a learnable softmax attention mechanism that allows each layer to selectively retrieve and weight useful representations from earlier layers, making depth dynamically adaptive rather than uniformly aggregated. This approach improves gradient stability, preserves meaningful signals throughout the network, and enhances performance in reasoning-heavy tasks such as coding, mathematics, and multi-step problem solving. -
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course.fast.ai
The fast.ai course notebooks
course22 is the official repository containing the notebooks, slides, and supporting materials for the 2022 edition of the fast.ai course Practical Deep Learning for Coders. The repository serves as the core educational resource for the course, providing learners with hands-on exercises and coding tutorials that accompany each lecture. The project emphasizes learning deep learning through experimentation rather than purely theoretical study, encouraging students to build models and analyze results directly in Jupyter notebooks. The repository includes lesson notebooks, slide presentations, spreadsheets, and supplementary materials that help students understand neural networks, computer vision, and natural language processing tasks. ... -
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AgentHub
GitHub is for humans. AgentHub is for agents
AgentHub is an experimental platform designed to enable collaboration between autonomous AI agents working on shared codebases. The project functions as a lightweight infrastructure layer that combines a Git repository with a message-board-style communication system, allowing multiple agents to coordinate development tasks within the same workspace. Rather than focusing solely on human collaboration, the system is designed around an “agent-first” paradigm where AI agents can contribute code,... -
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claude-code-best-practice
Practice made claude perfect
...Rather than being a traditional software library, the project functions as a living playbook that demonstrates how to compose skills, agents, memory files, and rules into maintainable AI-assisted coding systems. The repository emphasizes modularity and progressive disclosure, encouraging developers to build reusable components that can be invoked on demand. 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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visual-explainer
Agent skill + prompt templates that generate rich HTML pages
visual-explainer is an AI-oriented agent skill that converts complex terminal or analytical output into polished, human-readable HTML reports designed for quick comprehension and sharing. The project includes prompt templates and automation logic that enable coding agents to generate visual summaries such as diff reviews, architecture overviews, plan audits, and structured data tables. Its primary goal is to bridge the readability gap between raw machine output and stakeholder-friendly documentation. By producing styled web pages instead of plain text logs, visual-explainer improves communication in engineering and AI workflows where clarity is critical. ... -
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Claude Code PM
Project management system for Claude Code using GitHub Issues
...It supports parallel execution of AI agents by isolating work in separate Git worktrees, preserving context and allowing multiple streams of work without interference, which addresses common pain points in AI-driven coding where context often disappears between sessions. -
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corroded
Set of utilities consisting of idiomatic and safe rust utilities
corroded is a Rust project that intentionally strips away Rust’s safety guarantees and idiomatic protections, offering utilities and patterns that prioritize raw power and freedom over the usual borrow checker enforcement or strict ownership rules. Its README and community reactions suggest a mix of satire and extreme experimentation: the project makes “unsafe” Rust easier to use by removing typical compile-time checks, pushing the language toward behavior more like C for cases where... -
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TechCPP
C++ learning and interview guide aimed at back-end systems developers
...You’ll also find practical debugging and tooling advice, such as using gdb to diagnose deadlocks or reasoning about concurrency primitives. The repository organizes topics so you can quickly locate weak spots before interviews or brush up for day-to-day coding. It’s equally useful as a revision handbook and as a roadmap for engineers moving from “effective C++ usage” toward “systems-level competence”. -
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Front-End Design Checklist
The Design Checklist for Creative Web Designers
Front-End-Design-Checklist bridges the gap between design and implementation by capturing the essential details that make handoffs smooth and outcomes consistent. It encourages designers and developers to align on typography scales, color tokens, spacing systems, and grid behavior before coding begins. The resource includes checks for responsive breakpoints, interaction states, accessibility considerations, and asset preparation, reducing rework later in the build. It promotes shared vocabulary and artifacts, helping teams avoid ambiguities around components, states, and edge cases. By using it early in the process, teams can prevent visual drift, inconsistent spacing, and incomplete specifications. ... -
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jstraining
Training materials designed to teach JavaScript
jstraining is a curated set of training materials designed to teach JavaScript with a practical, hands-on approach. It organizes slides, exercises, and example projects into a progressive curriculum that moves from language fundamentals to tooling and best practices. Learners write code early and often, reinforcing concepts like functions, objects, modules, and asynchronous control flow. The repository encourages modern syntax and patterns while keeping examples small enough to digest in a... -
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ClojureDart
Clojure dialect for Flutter and Dart
ClojureDart is a modern dialect of Clojure that compiles to Dart, enabling developers to create native mobile, desktop, web, and CLI applications using the Flutter and Dart ecosystem with Clojure syntax while offering production-ready performance. You should get the sample running either in Chrome or as a desktop app. Compiles Clojure code into Dart to produce mobile, desktop, and web apps. Production-ready toolchain, with stable compiler used in real-world apps. -
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editorconfig‑vim
EditorConfig plugin for Vim
The EditorConfig plugin for Vim allows Vim to respect and apply coding style preferences defined in .editorconfig files. It handles properties like indentation, line endings, and character sets, helping maintain consistent code styles across different editors and IDEs. You can disable this plugin for a specific buffer by setting b: EditorConfig_disable. Therefore, you can disable the plugin for all buffers of a specific filetype. -
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DynamicHMC
Implementation of robust dynamic Hamiltonian Monte Carlo methods
...Derivatives can be provided manually, or using automatic differentiation. Consequently, this package requires that the user is comfortable with the basics of the theory of Bayesian inference, to the extent of coding a (log) posterior density in Julia. This approach allows the use of standard tools like profiling and benchmarking to optimize its performance. -
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Socialite
Socialite is an OAuth2 Authentication tool
...The tool now supports the following platforms: Facebook, Github, Google, Linkedin, Outlook, QQ, TAPD, Alipay, Taobao, Baidu, DingTalk, Weibo, WeChat, Douyin, Feishu, Lark, Douban, Enterprise WeChat, Tencent Cloud, Line, Gitee, Coding. Users only need to create corresponding configuration variables, and then use tools to create authentication applications for each platform, and easily obtain the access_token and user-related information of the platform. For details about the tool implementation logic, refer to the OAuth2 documents of major platforms. -
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mockery
A mock code autogenerator for Golang
mockery provides the ability to easily generate mocks for Golang interfaces using the stretchr/testify/mock package. It removes the boilerplate coding required to use mocks. mockery uses spf13/viper under the hood for its configuration parsing. It is bound to three different configuration sources, in order of decreasing precedence. By default, it searches the current working directory for a file named .mockery.[extension] where [extension] is any of the recognized extensions. Mockery will iteratively search every directory from the current working directory up to the root path for a .mockery.yaml file, if one is not explicitly provided. ... -
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AI Runner
Offline inference engine for art, real-time voice conversations
AI Runner is an offline inference engine designed to run a collection of AI workloads on your own machine, including image generation for art, real-time voice conversations, LLM-powered chatbots and automated workflows. It is implemented as a desktop-oriented Python application and emphasizes privacy and self-hosting, allowing users to work with text-to-speech, speech-to-text, text-to-image and multimodal models without sending data to external services. At the core of its LLM stack is a... -
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Super Magic
All-in-one AI productivity platform with agents, workflows, and IM
...Alongside this, Magic includes a visual workflow engine that enables users to design complex AI processes using a drag-and-drop interface without requiring extensive coding knowledge. It also provides an enterprise-grade instant messaging system that integrates AI conversations with internal communication, allowing teams to collaborate while leveraging intelligent assistants. Its architecture is built using a microservices approach with containerized services.
