Search Results for "no coding" - Page 27
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Showing 1773 open source projects for "no coding"
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1
Happy-LLM
Large Language Model Principles and Practice Tutorial from Scratch
...The project guides learners through the entire conceptual and practical pipeline of modern LLM development, starting with foundational natural language processing concepts and gradually progressing to advanced architectures and training techniques. It explains the Transformer architecture, pre-training paradigms, and model scaling strategies while also providing hands-on coding examples so readers can implement and experiment with their own models. The tutorial emphasizes practical understanding by walking users through building and training small language models, including tokenizer construction, pre-training workflows, and fine-tuning methods. -
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SkillKit
Supercharge AI coding agents with portable skills
SkillKit is a developer-centric toolkit for constructing modular, reusable AI agent skills and integrating them into workflows, platforms, and applications with minimal overhead. It provides a set of abstractions, templates, helper utilities, and patterns that help developers define intents, actions, context handling, memory management, and multi-step logic so that skills can be built once and reused everywhere. Instead of reinventing the wheel every time a new conversational or automation... -
3
claude-reflect
A self-learning system for Claude Code that captures corrections
claude-reflect is a self-learning enhancement system for Claude Code that captures user corrections, positive feedback, and preferences during interactive coding sessions and turns them into persistent knowledge that improves future responses. It watches what you correct Claude about — such as preferring a particular model, style, or workflow — and automatically queues those learnings, then lets you review and sync them back into configuration files like CLAUDE.md and agent definitions so Claude remembers them across sessions. ... -
4
Mantic.sh
A structural code search engine for Al agents
Mantic.sh is a context-aware, structural code search engine designed specifically for use with AI coding agents and developers who need deep, semantically relevant search across large codebases. Unlike traditional text-based search tools that mainly match keywords, Mantic.sh understands code structure and meaning by combining syntactic heuristics with neural semantic reranking to produce results that reflect conceptual relevance, which helps find functions, definitions, and patterns that literal search might miss. ... -
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Ralph TUI
A terminal UI for orchestrating AI coding agents
ralph-tui is a terminal-first task runner that orchestrates AI agent work as a structured queue of tasks, making “agentic execution” feel more like operating a build tool than chatting in a textbox. It prioritizes a disciplined loop: select the next task, construct the right prompt and context, execute the agent, detect completion, and move forward until the workload is done. By centering everything in a TUI, it encourages repeatable workflows where you can watch progress, adjust priorities,... -
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App Ideas Collection
A Collection of application ideas to improve your coding skills
App Ideas Collection is a collection of application idea prompts created by Florin Pop designed to help developers improve their skills by building full applications. It is structured with tiers (Beginner, Intermediate, Advanced) so learners can choose ideas appropriate to their experience level. Each idea comes with a clear objective, user-stories, bonus features, and links to resources, making it more than just a list—it’s a guided roadmap. It’s aimed at people who might suffer from “what... -
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frame.js
JavaScript Sequence Editor
...The library aims to be unobtrusive: you can drop it into demos or prototypes without adopting a large framework. Because it centralizes timing, it becomes easier to coordinate multiple animated elements or throttle work on low-power devices. For creative coding, micro-games, and UI flourishes, it offers just enough structure to keep animation code tidy. -
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Alova.js
Workflow-Streamlined next-generation request tools
...Request in various complex scenes by one line of code. Automatically manage paging data, and data preloading, reduce unnecessary data refresh, improve fluency by 300%, and reduce coding difficulty by 50%. Send requests immediately by watching state changes, useful in tab switching and condition querying. Global interceptor that supports silent token refresh, as well as providing unified management of token-based login, logout, token assignment, and token refresh. -
9
segment-geospatial
A Python package for segmenting geospatial data with the SAM
...To facilitate the use of the Segment Anything Model (SAM) for geospatial data, I have developed the segment-anything-py and segment-geospatial Python packages, which are now available on PyPI and conda-forge. My primary objective is to simplify the process of leveraging SAM for geospatial data analysis by enabling users to achieve this with minimal coding effort. I have adapted the source code of segment-geospatial from the segment-anything-eo repository, and credit for its original version goes to Aliaksandr Hancharenka. -
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10
faas-netes
Serverless Functions For Kubernetes
...OpenFaaS (Functions as a Service) is a framework for building serverless functions with Docker and Kubernetes which has first-class support for metrics. Any process can be packaged as a function enabling you to consume a range of web events without repetitive boilerplate coding. -
11
CrossUI
CrossUI is a free Cross-Browser Javascript framework
Build fully interactive experiences codeless and serverless. Create code into Github repository directly. CrossUI No-Code App Builder enables anyone (no software developer required) to Create Interactive Apps Without Coding. Prototype, develop and package the exactly same code into Web Apps, Native Desktop (Windows, Linux and Mac) Apps, as well as Mobile Apps. Rich client-side API, works with any backend or static HTML pages. Web services (JSON/XML/SOAP) can be directly bound. More than 100 components, including Tabs, Dialog, TreeGrid, SVG Shapes, Chart and many other web GUI components. ... -
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Doctrine Collections
Collections abstraction library
Doctrine Collections is a library that contains classes for working with arrays of data. Doctrine Collections provides an interface named Doctrine\Common\Collections\Collection that resembles the nature of a regular PHP array. That is, it is essentially an ordered map that can also be used like a list. A Collection has an internal iterator just like a PHP array. In addition, a Collection can be iterated with external iterators, which is preferable. To use an external iterator simply use the... -
13
SwiftFormat
A command-line tool and Xcode Extension for formatting Swift code
...Many programmers have a preferred style for formatting their code, and others seem entirely blind to the existing formatting conventions of a project. When collaborating on a project, it can be helpful to agree on a common coding style, but enforcing that manually is tedious and error-prone, and can lead to arguments if some participants take it more seriously than others. Having a tool to automatically enforce a common style eliminates those issues, and lets you focus on the behavior of the code, not its presentation. -
14
Pro Workflow
Claude Code learns from your corrections: self-correcting memory
...It emphasizes continuous improvement, where each interaction contributes to better performance in future tasks. The system also integrates agent teams, allowing complex workflows to be distributed across specialized components. Overall, Pro-workflow transforms AI-assisted coding into an adaptive and evolving process that improves with use. -
15
Ars Contexta
Claude Code plugin that generates individualized knowledge systems
...It allows users to define their thinking style and workflows, which the system uses to tailor how knowledge is captured and organized. Arscontexta integrates directly into coding workflows, making it particularly useful for developers who want to accumulate insights over time. The resulting knowledge base can be reused across sessions, improving productivity and reducing repeated explanations. -
16
Autoskills
One command. Your entire AI skill stack. Installed
The Autoskills project is a developer tool that automates the installation of AI agent skills based on a project’s technology stack. It operates through a simple command-line interface that scans configuration files such as package.json and build scripts to detect the frameworks, languages, and tools used in a project. Once the stack is identified, it automatically installs a curated set of AI skills tailored to those technologies, significantly reducing setup time for AI-assisted... -
17
clawhip
claw + whip: Event-to-channel notification router
...Built with a clean separation between routing, rendering, and delivery, Clawhip ensures reliable and organized notifications without polluting AI agent contexts. It integrates seamlessly with tools like OpenClaw, OMX (oh-my-codex), and OMC (oh-my-claudecode) to monitor coding sessions and automate updates. The system emphasizes normalized event contracts (like session.* and agent.*) for consistent automation and routing logic. Overall, Clawhip serves as an operational backbone for developer workflows, enabling real-time visibility and control over distributed AI-driven tasks. -
18
Shadcn UI v4 MCP Server
A mcp server to allow LLMS gain context about shadcn ui component
Shadcn UI v4 MCP Server is a Model Context Protocol server that enables AI assistants to access, retrieve, and utilize shadcn/ui component libraries within development workflows, effectively bridging UI component systems with AI-driven coding tools. It provides structured access to component source code, demos, metadata, and reusable UI blocks, allowing AI agents to generate accurate and production-ready interface implementations. The server supports multiple frontend frameworks including React, Svelte, Vue, and React Native, making it highly versatile for cross-platform development. ... -
19
Sandbox Agent
Run Coding Agents in Sandboxes
Sandbox Agent by Rivet is an experimental framework for running AI agents in controlled, isolated environments where they can safely execute code, interact with tools, and perform autonomous tasks without risking system integrity. It is designed to provide a secure sandbox that allows agents to test actions, manipulate files, and run commands while enforcing strict boundaries and monitoring capabilities. The project focuses on enabling more reliable and auditable agent behavior by separating... -
20
machine learning tutorials
machine learning tutorials (mainly in Python3)
...The repository integrates numerous popular machine learning frameworks and libraries such as scikit-learn, PyTorch, TensorFlow, XGBoost, and Hugging Face. It aims to strike a balance between theoretical explanation and practical coding by demonstrating algorithms both from scratch and using established libraries. The content is organized into multiple sections covering topics such as clustering, regression, dimensionality reduction, recommender systems, and model evaluation. -
21
ProjectLearn.io
A curated list of project tutorials for project-based learning
...Technologies covered include widely used tools such as React, Node.js, Flutter, TensorFlow, OpenCV, and other contemporary development platforms. By emphasizing hands-on learning, the repository encourages learners to strengthen their programming skills through real implementations rather than isolated coding exercises. -
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Generative AI for beginners with JS
Join a time-traveling adventure where you meet history’s legends
Generative AI with JavaScript is an educational repository created by Microsoft that teaches developers how to build applications powered by large language models using the JavaScript ecosystem. The project is structured as a multi-lesson curriculum that introduces the concepts, tools, and practical techniques required to create generative AI applications. Each lesson includes written explanations, hands-on exercises, quizzes, and supporting videos to help developers learn the material... -
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Daily Interview
Datawhale members have compiled a book covering machine learning
...Many of the problems include explanations, references, or links to additional learning resources that help users study relevant theory and improve problem-solving skills. The project is particularly useful for developers preparing for coding interviews at technology companies, as it provides a continuous stream of practice material organized by topic and difficulty level. -
24
PyTorch-Tutorial-2nd
CV, NLP, LLM project applications, and advanced engineering deployment
...The project serves as a practical companion to a second edition of a PyTorch learning guide and is designed to help learners understand neural network concepts through hands-on coding examples. The repository covers a wide range of topics including tensor operations, neural network construction, model training workflows, and optimization strategies. It also introduces practical machine learning techniques such as convolutional neural networks, recurrent networks, and other architectures commonly used in modern AI applications. ... -
25
Unstract
No-code LLM Platform to launch APIs and ETL Pipelines
Unstract is a powerful open-source, no-code platform built to automate the extraction and structuring of unstructured documents using large language models and flexible workflows, enabling developers and data teams to turn messy files into organized JSON content without complex coding. It integrates a visual Prompt Studio environment where users can iteratively design extraction schemas, compare outputs from different models, and monitor costs and accuracy side by side, making it easier to refine prompts and extraction logic before deploying at scale. Unstract supports deploying structured extraction as REST API endpoints or embedding it into data engineering ETL pipelines, which allows it to plug directly into data warehouses, cloud storage, or downstream analytics systems. ...
