Search Results for "vb6 source code" - Page 92
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Showing 16379 open source projects for "vb6 source code"
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1
Loop Library
A library of practical AI-agent loops and an installable skill
Loop Library is a library and installable skill for designing repeatable AI-agent workflows. It is built around the idea of loops, which are bounded playbooks that tell an agent what to do, how to check progress, what to try next, and when to stop. The repository contains both a public loop library website and the Loopy skill that agents can use to discover, audit, adapt, run, and prepare loops. It helps turn open-ended prompts into measurable workflows with evidence, stopping criteria, and... -
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Omnigent
A meta-harness for all your AI agents
Omnigent is a meta-harness for managing many AI agents through one shared layer. It works with Claude Code, Codex, Cursor, Pi, and custom YAML-defined agents, so users can swap or combine agent runtimes without rebuilding their workflows. Sessions can move across terminal, browser, desktop, and mobile interfaces while keeping messages, files, terminals, and subagents in sync. The platform supports collaboration, shared live sessions, co-driving, conversation forking, and remote access from... -
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Emacs-libvterm
Emacs libvterm integration
emacs-libvterm is a terminal emulator integration for GNU Emacs based on the libvterm C library. It gives Emacs users a fast and capable terminal buffer that behaves more like a real terminal than many older Emacs shell modes. Because it uses compiled libvterm code, it can support full-screen terminal applications, interactive shells, TUI programs, and complex terminal behavior more reliably. The project bridges Emacs Lisp with native terminal emulation so users can keep command-line... -
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AI Dev Tasks
A simple task management system for managing AI dev agents
AI Dev Tasks is a Markdown-based task management system for AI-assisted software development. It provides structured prompt files that guide an AI coding assistant through feature planning, PRD creation, task breakdown, and implementation checkpoints. The project is designed to work with AI-powered IDEs and CLI agents such as Amp, Claude Code, Windsurf, and similar tools. Instead of asking an agent to jump directly into code, users can follow a staged process that clarifies requirements... -
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5
Harmonist
Portable AI agent orchestration with mechanical protocol enforcement
Harmonist is a portable multi-agent orchestration framework for AI coding assistants such as Cursor, Claude Code, Copilot, Windsurf, and Aider. It is designed to make agent workflows more reliable by enforcing protocol rules mechanically instead of trusting prompts alone. The framework includes a catalog of specialized agents, validated memory behavior, supply-chain checks, and hooks that gate code-changing turns. If required reviewers do not run, memory is not updated, or shipped files fail... -
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GWS
Simple, fast, reliable websocket server & client
GWS is a high-performance WebSocket library for Go that provides both server and client capabilities. It is designed for high-concurrency use cases such as API gateways, chat systems, reverse proxies, online games, real-time streaming, and push or subscription services. The library exposes a minimal event-driven API, allowing developers to build WebSocket applications with relatively little code. It supports standard TCP usage as well as WebSocket operation over KCP and Unix domain sockets.... -
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AnalysisAVP
Encode decode, rgb yuv h264 aac flv mp4 rtmp
AnalysisAVP is a comprehensive educational repository focused on audio and video technology concepts, providing structured knowledge across multimedia systems and processing pipelines. It covers foundational topics such as encoding, decoding, color formats like RGB and YUV, and widely used codecs including H.264 and AAC. The project also explores media container formats like MP4 and FLV, along with streaming protocols such as RTMP and WebRTC, offering a broad understanding of media... -
8
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,... -
9
Solang
Solidity Compiler for Solana, Polkadot and Stellar
Solang is a modern Solidity compiler written in Rust that enables developers to compile smart contracts for multiple blockchain platforms beyond Ethereum, such as Solana, Polkadot, and Soroban. Unlike the traditional Solidity compiler, which targets the Ethereum Virtual Machine, Solang focuses on portability by translating Solidity code into native execution environments for different blockchains. It uses the LLVM compiler framework to generate optimized output, often producing WebAssembly... -
MongoDB Atlas runs apps anywhereMongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
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Stlite
n-browser Streamlit
Stlite is a WebAssembly-powered framework that enables Streamlit applications to run entirely in the browser without requiring a Python backend server. It achieves this by using Pyodide, a WebAssembly-based Python runtime, to execute Python code directly within the browser environment. This allows developers to build interactive data applications using familiar Streamlit APIs while eliminating the need for server-side infrastructure. Stlite supports a wide range of Python libraries and... -
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min-sized-rust
How to minimize Rust binary size
min-sized-rust is a practical, research-oriented repository that demonstrates how to aggressively reduce the size of compiled Rust binaries through a combination of compiler flags, linker optimizations, and code-level techniques. By default, Rust prioritizes performance, debuggability, and compile speed, which often results in relatively large binaries, especially in debug mode or when including standard libraries. This project systematically explores how to invert those priorities, focusing... -
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Cloud Foundation Toolkit Project
The Cloud Foundation toolkit provides GCP best practices as code
Cloud Foundation Toolkit is a best-practices-as-code project intended to help teams build and manage Google Cloud environments in a more standardized, production-ready way. At its core, it combines a comprehensive set of Terraform blueprints with developer tooling that supports the creation and management of those blueprints. The repository is aimed at infrastructure teams that want reusable, policy-aligned starting points instead of assembling foundational cloud environments from scratch... -
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machine-learning-refined
Master the fundamentals of machine learning, deep learning
machine-learning-refined is an educational repository designed to help students and practitioners understand machine learning algorithms through intuitive explanations and interactive examples. The project accompanies a series of textbooks and teaching materials that focus on making machine learning concepts accessible through visual demonstrations and simple code implementations. Instead of presenting algorithms purely through mathematical derivations, the repository emphasizes geometric... -
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Machine Learning Foundations
Machine Learning Foundations: Linear Algebra, Calculus, Statistics
Machine Learning Foundations repository contains the code, notebooks, and teaching materials used in Jon Krohn’s Machine Learning Foundations curriculum. The project focuses on explaining the fundamental mathematical and computational concepts that underpin modern machine learning and artificial intelligence systems. The materials cover essential topics such as linear algebra, calculus, statistics, and probability, which form the theoretical basis of many machine learning algorithms. The... -
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Hello-Agents
Building an Intelligent Agent from Scratch
Hello Agents is an open educational project designed to teach developers how to understand, design, and build AI-native agents from the ground up through structured tutorials and practical examples. The project focuses on guiding learners beyond superficial framework usage toward deeper comprehension of agent architecture, reasoning loops, and real-world implementation patterns. It walks users through core concepts such as ReAct-style reasoning, tool usage, memory handling, and multi-step... -
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Qualify
Claude code to help you do lead research and qualification
Qualify is a lightweight micro-CRM prototype and automation framework geared toward helping small teams and individual users manage leads, tasks, customer interactions, and simple sales pipelines without the overhead of traditional enterprise platforms. Rather than trying to replicate every feature of a full CRM suite, it focuses on core workflows like capturing leads, tracking stages, logging interactions, and generating reminders or alerts for follow-ups so that users spend more time... -
17
Loki Mode
Multi-agent autonomous startup system for Claude Code
Loki Mode is a multi-agent autonomous execution system designed to take structured product requirements or specifications and autonomously drive the creation, testing, deployment, and scaling of complex software projects using a large team of specialized AI agents. It orchestrates dozens of agent types across swarms that handle designated roles — such as architecture, coding, QA, deployment, and business workflows — running in parallel to cover both engineering and operational tasks without... -
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agentation
The visual feedback tool for agents
Agentation is a visual annotation and feedback tool designed to make interacting with AI coding agents more intuitive and precise by letting developers visually click on frontend elements in a browser and annotate them with context before sending structured feedback to an agent. Instead of describing UI elements in text — like “the blue button in the sidebar” — users click directly on elements to automatically capture selectors, positions, and contextual metadata that can be consumed by AI... -
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IntelliJ Platform Plugin Template
Template repository for creating plugins for IntelliJ Platform
The IntelliJ-Platform-Plugin-Template is a fully configured starter project that helps developers quickly create, build, and publish plugins for the JetBrains IntelliJ Platform, which includes IDEs like IntelliJ IDEA, PyCharm, WebStorm, and others. It sets up standard project structures, build scripts (usually with Gradle), sample plugin code, and example configurations so developers can focus immediately on the functionality they want to add rather than setup boilerplate. This template... -
20
handson-ml
Teaching you the fundamentals of Machine Learning in python
handson-ml hosts the notebooks for the first edition of the same hands-on ML book, reflecting the tooling and idioms of its time while teaching durable concepts. It walks through supervised and unsupervised learning with scikit-learn, then introduces deep learning using the earlier TensorFlow 1 graph-execution style. The examples underscore fundamentals like bias-variance trade-offs, regularization, and proper validation, grounding learners before they move to deep nets. Even though the deep... -
21
frame.js
JavaScript Sequence Editor
frame.js is a tiny utility for orchestrating frame-based animations with requestAnimationFrame while keeping code clean and predictable. It abstracts the boilerplate of setting up a render loop, tracking elapsed time, and updating callbacks at the right cadence. By providing a simple lifecycle—start, stop, tick—it encourages separation between state updates and rendering, which is essential for smooth visuals. The library aims to be unobtrusive: you can drop it into demos or prototypes... -
22
ALE
Check syntax in Vim/Neovim asynchronously and fix files
ALE is an asynchronous linting and fixing engine for Vim and Neovim that keeps feedback flowing without blocking your editor. It runs external linters and formatters in the background as you type or save, streaming diagnostics into the sign column and statusline. The project focuses on breadth and practicality: dozens of languages work out of the box, and configuration is usually a matter of selecting tools you already use on the command line. ALE can also act as a lightweight Language... -
23
CutLER
Code release for Cut and Learn for Unsupervised Object Detection
CutLER is an approach for unsupervised object detection and instance segmentation that trains detectors without human-annotated labels, and the repo also includes VideoCutLER for unsupervised video instance segmentation. The method follows a “Cut-and-LEaRn” recipe: bootstrap object proposals, refine them iteratively, and train detection/segmentation heads to discover objects across diverse datasets. The codebase provides training and inference scripts, model configs, and references to... -
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OpenAI Quickstart Node
Node.js example app from the OpenAI API quickstart tutorial
OpenAI Quickstart Node.js is an example application designed to help developers learn how to use the OpenAI API with Node.js. The repository provides structured sample code for a variety of API endpoints, including chat completions, assistants, embeddings, fine-tuning, moderation, batch processing, and image generation. Each folder contains runnable scripts that demonstrate both basic usage and more advanced scenarios. By following the examples, developers can quickly understand how to... -
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fpinscala
Code, exercises, answers, and hints to go along with the book
The fpinscala repository provides exercises, hints, and solutions for the book Functional Programming in Scala, serving as a companion resource for anyone studying the text. It is designed to guide learners through each chapter of the book by offering exercise stubs, partial implementations, and progressively developed code examples. As readers work through the book, they can complete exercises directly in the provided Scala files, building a library of functional programming constructs...
