Search Results for "loop" - Page 7
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Showing 543 open source projects for "loop"
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$300 Free Credits for Your Google Cloud ProjectsLaunch your next project with $300 in free Google Cloud credits—no strings attached. Test, build, and deploy without risk. Use your credits across the entire Google Cloud platform to find what works best for your needs. After your credits are used, continue with always-free tier services. Only pay when you're ready to scale. Sign up in minutes and start exploring.
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Build Agents and Models on One PlatformGemini Enterprise Agent Platform is Google Cloud's comprehensive platform for developers to build, scale, govern, and optimize agents and models. Choose from Google's most advanced models and third-party models like Anthropic's Claude Model Family.
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Tilt
Define dev environment as code for microservice apps on Kubernetes
...See all the pieces of your app, and trigger custom workflows like seeding databases or creating infrastructure. Our engine starts the whole app and runs automated rebuilds as you edit in your IDE. Get a continuous feedback loop with your logs, broken builds, and runtime errors. Work with Kubernetes without needing to be an expert. And if you are an expert, no more 20 questions with kubectl. Tilt responsively handles the tedious and repetitive parts of your workflow and gives you peripheral vision so you find errors faster. Recapture the magic of hacking with immediate feedback. -
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Gridap.jl
Grid-based approximation of partial differential equations in Julia
Gridap provides a set of tools for the grid-based approximation of partial differential equations (PDEs) written in the Julia programming language. The library currently supports linear and nonlinear PDE systems for scalar and vector fields, single and multi-field problems, conforming and nonconforming finite element (FE) discretizations, on structured and unstructured meshes of simplices and n-cubes. It also provides methods for time integration. Gridap is extensible and modular. One can... -
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Open Source Vizier
Python-based research interface for blackbox
...A wide collection of objective functions and methods to benchmark and compare algorithms. Define a problem statement and study configuration. Setup a local server, setup a client to connect to the server, perform a typical tuning loop, and use other client APIs. -
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ClickHouse Go
Golang driver for ClickHouse
...Marshal rows into structs (ScanStruct, Select). Unmarshal struct to row (AppendStruct). Connection pool Failover and load balancing. Bulk write support (for database/sql use begin->prepare->(in loop exec)->commit). AsyncInsert, named and numeric placeholders support. LZ4/ZSTD compression support. External data. -
Train ML Models With SQL You Already KnowBuild and deploy ML models using familiar SQL. Automate data prep with built-in Gemini. Query 1 TB and store 10 GB free monthly.
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Process Component
The Process component executes commands in sub-processes
...The clearOutput() method clears the contents of the output and clearErrorOutput() clears the contents of the error output. You can also use the Symfony\Component\Process\Process class with the for each construct to get the output while it is generated. By default, the loop waits for new output before going to the next iteration -
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DeepSeekMath-V2
Towards self-verifiable mathematical reasoning
...Under the hood, Math-V2 uses a massive Mixture-of-Experts (MoE) architecture (activated parameter count reportedly in the hundreds of billions) derived from DeepSeek’s experimental base architecture. For math problems, it employs a generator-verifier loop: it first generates a candidate proof (or solution path), then runs a verifier that assesses correctness and completeness. -
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Agentic RAG for Dummies
A modular Agentic RAG built with LangGraph
...The project explains the principles behind agentic retrieval pipelines where language models can dynamically decide when to retrieve information, analyze results, and plan further actions. Instead of relying on static retrieval pipelines, the system shows how agents can orchestrate retrieval, reasoning, and tool usage in a more flexible decision loop. The repository provides practical examples and tutorials that guide developers through building agentic RAG systems using modern AI frameworks. These examples illustrate how agents can access knowledge bases, retrieve documents, analyze them, and refine their queries during multi-step reasoning processes. The repository focuses on simplifying complex architectural concepts so that beginners can understand how agentic retrieval systems are constructed. -
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Agentic Inbox
A self-hosted email client with an AI agent, running entirely on Cloud
Agentic Inbox is a self-hosted email client that integrates an AI agent directly into the inbox experience, enabling automated reading, organization, and drafting of emails. It runs entirely on Cloudflare Workers, using serverless infrastructure to manage incoming and outgoing messages without relying on external email services. Each mailbox is isolated with its own storage, ensuring data separation and security while maintaining performance. The system supports full email functionality,... -
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MolmoWeb
Open multimodal web agent built by Ai2
MolmoWeb is an open-source multimodal web agent designed to autonomously navigate and interact with web browsers using vision-language models, representing a significant step toward fully agentic AI systems that can operate in real-world digital environments. The system takes natural language instructions and translates them into sequences of browser actions such as clicking, typing, scrolling, and navigating, effectively performing tasks on behalf of the user. Unlike traditional automation... -
99.99% Uptime for MySQL and PostgreSQL DatabasesCloud SQL Enterprise Plus delivers near-zero downtime with 35 days of point-in-time recovery. Supports MySQL, PostgreSQL, and SQL Server.
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Page Agent
JavaScript in-page GUI agent. Control web interfaces
Page Agent is an open-source in-page AI agent framework that allows developers to control and interact with web interfaces using natural language directly within the browser. Unlike traditional browser automation tools, it operates entirely through in-page JavaScript, eliminating the need for browser extensions, headless browsers, or external automation environments. The system enables users to manipulate the DOM through text-based commands, allowing complex workflows such as form filling,... -
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Deep Search Agent
Implement a concise and clear Deep Search Agent from 0
Deep Search Agent is an experimental demonstration project that showcases an autonomous AI agent designed to perform multi-step research and information gathering tasks. The repository illustrates how large language models can be orchestrated with tools and planning logic to execute complex search workflows rather than single-prompt responses. It typically combines reasoning, retrieval, and iterative refinement so the agent can break down questions, gather evidence, and synthesize structured... -
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Sandstorm
One API call, pull Claude agent, completely sandboxed
Sandstorm is an open-source project that wraps a powerful Claude-based AI agent within a completely sandboxed, ephemeral API service designed to make agentic AI workflows easy to deploy and scale without infrastructure complexity. The core idea is to provide “one API call” access to a robust Claude agent loop that runs inside a secure sandbox, so you can upload files, connect tools, and run long-running tasks — all managed behind a simple REST-style interface that disappears when the work is done. This approach lowers the friction of building autonomous agents by removing the need to provision servers, orchestrate distributed agents, or manage persistent tooling; agents can be spun up in parallel without manual setup and shut down when complete. ... -
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Dash Data Agent
Self-learning data agent that grounds its answers in layers of content
Dash is a self-learning data agent built by the Agno AI community that generates grounded answers to English queries over structured data by synthesizing SQL and reasoning based on six layers of context, improving automatically with each run. It sidesteps common limitations of simple text-to-SQL agents by incorporating multiple context layers — including schema structure, human annotations, known query patterns, institutional knowledge from docs, machine-discovered error patterns, and live... -
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AIPex
AI browser automation assistant, no migration and privacy first
AIPex is an AI-augmented development toolkit and workflow platform that aims to accelerate software productivity by integrating intelligent assistants, code generation tools, and customizable automation patterns directly into developer workflows. Rather than treating AI as a separate helper, AIPex embeds AI capabilities into common tasks like scaffolding components, generating tests, analyzing code quality, and performing refactors, allowing developers to stay in flow while benefiting from... -
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Interface Design
Design engineering for Claude Code
...It also offers commands to inspect the current design system status, audit inconsistencies, and extract patterns back into a reusable format, making it a live feedback loop for quality UI work. -
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latexify
A library to generate LaTeX expression from Python code
...Users can control rendering details for names and operators so the output conforms to a project’s notation style. Because it works directly from Python source, it enables a tight authoring loop. -
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LittleJS
The Tiny JavaScript Game Engine That Can!
...This engine has everything necessary to make high-quality games, including fast rendering, physics, particles, sound effects, music, keyboard/mouse/gamepad input handling, update/render loop, and debug tools. It is recommended that you start by copying the LittleJS Starter Project This file is mostly empty with just a few things you can use to get started or remove. You can also download and include engine.all.js or engine.all.min.js. In order to load files like images you will need to run a small web server like http-server on npm. ... -
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PML
The easiest way to use deep metric learning in your application
This library contains 9 modules, each of which can be used independently within your existing codebase, or combined together for a complete train/test workflow. To compute the loss in your training loop, pass in the embeddings computed by your model, and the corresponding labels. The embeddings should have size (N, embedding_size), and the labels should have size (N), where N is the batch size. The TripletMarginLoss computes all possible triplets within the batch, based on the labels you pass into it. Anchor-positive pairs are formed by embeddings that share the same label, and anchor-negative pairs are formed by embeddings that have different labels. ... -
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Rescript Compiler
The compiler for ReScript
...ReScript is a robustly typed language that compiles to efficient and human-readable JavaScript. It comes with a lightning-fast compiler toolchain that scales to any codebase size. ReScript cares about a consistent and fast feedback loop for any codebase size. Refactor code, pull complex changes or switch to feature branches as you please. No sluggish CI builds stale caches, wrong type hints, or memory-hungry language servers that slow you down. Every ReScript app is fully typed and provides reliable type information for any given value in your program. We prioritize simpler types over complex types for the sake of clarity and easy debugability. ... -
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TensorFlow Model Garden
Models and examples built with TensorFlow
...To improve the transparency and reproducibility of our models, training logs on TensorBoard.dev are also provided for models to the extent possible though not all models are suitable. A flexible and lightweight library that users can easily use or fork when writing customized training loop code in TensorFlow 2.x. It seamlessly integrates with tf.distribute and supports running on different device types (CPU, GPU, and TPU). -
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TGM Gaming Macro
Lets you have a macro mouse n keyboard functionally with ordinary one.
...🌐 https://trksyln.net/projects/TGM-Gaming-Macro-(TGMacro)-4/#download ⚡ TGMacro turns any ordinary mouse and keyboard into powerful macro devices. Easily create or record multiple macros, assign each to different keys or key combinations, and trigger or loop them whenever you need—whether it’s rapid-fire actions in games, complex multi-step workflows, or simple shortcuts that save you time every day. 🎮 Designed for gamers, but versatile enough for everyday tasks—TGMacro gives you full control and flexibility. 💡 Questions, bug reports, or feature requests? Older versions: https://trksyln.net/contact Current version: https://gettgmacro.com/contact Discord channel: https://discord.gg/gJ5ZNt4AAW https://gettgmacro.com/GetStarted -
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Trae Agent
LLM-based agent for general purpose software engineering tasks
Trae Agent is an open-source, LLM-based agent system also developed by ByteDance, focused primarily on automating software engineering workflows. It provides a command-line interface (CLI) that accepts natural-language instructions (e.g. “refactor this module,” “write a unit test,” “generate a REST API skeleton”), and then orchestrates tool-based workflows — such as file editing, shell/batch commands, code generation, code formatting or refactoring — to carry out complex engineering tasks.... -
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Flock
Flock is a workflow-based low-code platform for building chatbots
...The platform supports multi-agent collaboration, allowing developers to design workflows where different agents handle specialized tasks within the same system. Flock also includes features such as intent recognition, code execution nodes, and human-in-the-loop approval processes that make it suitable for production AI applications. -
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CC Workflow Studio
Accelerate Claude Code/GitHub Copilot
CC Workflow Studio is a powerful Visual Studio Code extension that accelerates AI-assisted development by providing a visual workflow editor tailored for AI automation and agent orchestration, particularly with tools like Claude Code, GitHub Copilot, OpenAI Codex, and others. The extension lets developers and creators design complex AI workflows using intuitive drag-and-drop canvases or via conversational AI commands, blending graphical editing with natural language refinement. Workflows can... -
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Poetiq
Reproduction of Poetiq's record-breaking submission to the ARC-AGI-1
...Instead of relying on a single prompt or fixed strategy, their solver dynamically adapts the reasoning path, selecting what to ask or analyze next depending on intermediate results — effectively compositing reasoning, perception, and program synthesis (or symbolic manipulation) in a loop. The repository allows others to reproduce their results, experiment with different LLM backends (e.g. the user may supply keys for supported models), and observe how their adaptive meta-system handles the logic and abstraction challenges.