Search Results for "ecommerce source code" - Page 45

6204 projects for "ecommerce source code" with 1 filter applied:

  • Ship Agents Faster Icon
    Ship Agents Faster

    Transform your applications and workflows into powerful agentic systems at global scale.

    Gemini 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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  • 1
    GraphQL for Nest framework

    GraphQL for Nest framework

    GraphQL (TypeScript) module for Nest framework (node.js)

    GraphQL is a powerful query language for APIs and a runtime for fulfilling those queries with your existing data. It's an elegant approach that solves many problems typically found with REST APIs. For background, we suggest reading this comparison between GraphQL and REST. GraphQL combined with TypeScript helps you develop better type safety with your GraphQL queries, giving you end-to-end typing. In this chapter, we assume a basic understanding of GraphQL, and focus on how to work with the...
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  • 2
    GraphQL Juniper

    GraphQL Juniper

    GraphQL server library for Rust

    GraphQL is a data query language developed by Facebook intended to serve mobile and web application frontends. Juniper makes it possible to write GraphQL servers in Rust that are type-safe and blazingly fast. We also try to make declaring and resolving GraphQL schemas as convenient as Rust will allow. Juniper does not include a web server - instead it provides building blocks to make integration with existing servers straightforward. It optionally provides a pre-built integration for the...
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  • 3
    SLAM in Autonomous Driving Book

    SLAM in Autonomous Driving Book

    SLAM Technology in Autonomous Driving

    SLAM in Autonomous Driving Book is the open-source code companion to the book SLAM in Autonomous Driving. It focuses on localization and mapping systems that combine LiDAR, IMU, GNSS, and vehicle motion data. The material begins with geometry, kinematics, Kalman filtering, inertial navigation, preintegration, and graph optimization. It then implements point-cloud processing, nearest-neighbor structures, ICP, NDT, scan matching, occupancy grids, and loop closure.
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  • 4
    Browserless

    Browserless

    Deploy headless browsers in Docker

    Browserless is an open-source browser automation platform for running headless browsers in Docker or through Browserless-hosted cloud infrastructure. It lets developers connect existing Puppeteer and Playwright code to remote browser sessions over WebSocket, which helps move heavy browser work away from local machines or application servers. The project also provides REST APIs for common automation tasks such as screenshots, PDF generation, scraping, crawling, and content export. ...
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    99.99% Uptime for MySQL and PostgreSQL Databases

    Sub-second maintenance. 2x read/write performance. Built-in vector search for AI apps.

    Cloud 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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  • 5
    Vibe Vibe

    Vibe Vibe

    The First Systematic Vibe Coding Tutorial

    Vibe Vibe is an open-source educational platform and tutorial system designed to teach AI-assisted programming, also known as “vibe coding,” through a structured and beginner-friendly learning path. The project is aimed at users with little to no programming experience, guiding them from initial ideas to fully deployed applications using natural language interactions with AI tools.
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  • 6
    MLOps Zoomcamp

    MLOps Zoomcamp

    Free MLOps course from DataTalks.Club

    MLOps Zoomcamp is an open-source educational repository that contains the materials for a free course focused on machine learning operations and production machine learning systems. The course is designed to teach data scientists and engineers how to move machine learning models from experimentation environments into scalable production services. The repository provides lessons, code examples, and assignments that cover the entire MLOps lifecycle, including model training, experiment tracking, deployment, monitoring, and infrastructure management. ...
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  • 7
    Sa2VA

    Sa2VA

    Official Repo For "Sa2VA: Marrying SAM2 with LLaVA

    Sa2VA is a cutting-edge open-source multi-modal large language model (MLLM) developed by ByteDance that unifies dense segmentation, visual understanding, and language-based reasoning across both images and videos. It merges the segmentation power of a state-of-the-art video segmentation model (based on SAM‑2) with the vision-language reasoning capabilities of a strong LLM backbone (derived from models like InternVL2.5 / Qwen-VL series), yielding a system that can answer questions about...
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  • 8
    Open Infra Index

    Open Infra Index

    Production-tested AI infrastructure tools

    ...FlashMLA, DeepEP, DeepGEMM, 3FS, etc.) that together form DeepSeek’s infrastructure stack. The repo's README describes the project as sharing “humble building blocks” of their online service—code that is documented, deployed, and battle-tested in production. The timing of its opening matches DeepSeek’s “Open-Source Week” campaign (starting around February 2025) when they gradually released internal infrastructure components publicly. It is licensed under CC0-1.0 (Creative Commons Zero) to maximize openness.
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  • 9
    PythonPark

    PythonPark

    Python open source project "The Road to Self-Study Programming"

    PythonPark is a large, curated “learning playground” for Python — essentially a comprehensive self-study meta-repository aimed at helping learners progress in Python programming, data science, machine learning, web scraping, and software engineering practices. It aggregates tutorials, learning guides, project examples, and resources across topics: from Python basics and data structures to machine learning, web scraping, and even interview preparation and “programmer life” guidance. Because...
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  • Train ML Models With SQL You Already Know Icon
    Train ML Models With SQL You Already Know

    BigQuery automates data prep, analysis, and predictions with built-in AI assistance.

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  • 10
    PaSa

    PaSa

    An advanced paper search agent powered by large language models

    PaSa is an open-source “paper search agent” built around large language models (LLMs), designed to automate the process of academic literature retrieval with human-like decision making. Instead of simply translating a query into keywords and returning a flat list of matching papers, PaSa uses a dual-agent architecture (Crawler + Selector) that can iteratively search, read, analyze, and filter academic publications — simulating how a researcher might dig through citation networks, expand...
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  • 11
    APNGKit

    APNGKit

    High performance and delightful way to play with APNG format in iOS

    The APNGKit project is a high-performance framework for loading, displaying, and animating images in the UIKit / AppKit ecosystem (iOS, macOS, tvOS), specifically targeting the APNG (Animated PNG) image format. Unlike traditional static PNG images, APNG supports frame-by-frame animation with full-color images and transparency — yielding better visual fidelity than GIFs while remaining efficient. APNGKit offers a friendly API (e.g. APNGImage, APNGImageView) that behaves similarly to the...
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  • 12
    deep-q-learning

    deep-q-learning

    Minimal Deep Q Learning (DQN & DDQN) implementations in Keras

    The deep-q-learning repository authored by keon provides a Python-based implementation of the Deep Q-Learning algorithm — a cornerstone method in reinforcement learning. It implements the core logic needed to train an agent using Q-learning with neural networks (i.e. approximating Q-values via deep nets), setting up environment interaction loops, experience replay, network updates, and policy behavior. For learners and researchers interested in reinforcement learning, this repo offers a...
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  • 13
    Roadmap To Learn Generative AI In 2025

    Roadmap To Learn Generative AI In 2025

    Basic Machine Learning Natural Language Processing Roadmap

    Roadmap To Learn Generative AI In 2025 is a curated learning path focused on contemporary generative AI — covering large language models (LLMs), diffusion-based image generation, prompt engineering, multi-modal AI, fine-tuning techniques, and the practical considerations for deploying generative models. It’s aimed at learners and developers who already have some programming or ML basics and wish to specialize in generative AI, offering a modern, structured plan that reflects the state of the...
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  • 14
    shot-scraper

    shot-scraper

    A command-line utility for taking automated screenshots of websites

    shot-scraper is a command-line utility for taking automated screenshots of web pages using a headless browser engine. After installation, a single command can capture a full-page screenshot of a URL and save it to a file, making it ideal for documentation, monitoring, and visual regression tasks. Under the hood it uses a modern browser (installed via a one-time shot-scraper install step) and exposes options for viewport size, full-page versus clipped screenshots, and device emulation. Beyond...
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  • 15
    Chartkick

    Chartkick

    Create beautiful JavaScript charts with one line of Ruby

    Chartkick is a Ruby gem that makes it easy to generate beautiful charts in Rails and other Ruby applications with minimal code. It provides a high-level API where developers can use simple helpers like line_chart, pie_chart, or column_chart and pass in data arrays or ActiveRecord queries. Under the hood, it works with popular charting libraries such as Google Charts, Chart.js, and Highcharts, but hides their verbose JavaScript APIs behind a clean Ruby interface. It also handles things like...
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  • 16
    Enterprise-Scale

    Enterprise-Scale

    The Azure Landing Zones (Enterprise-Scale) architecture

    Enterprise-Scale is a reference architecture and set of landing-zone blueprints for building large, governed Azure estates. It codifies recommended patterns—network topology, identity integration, subscription and resource organization, policy assignment, and guardrails—so enterprises can provision repeatable, secure, and compliant environments for workloads. The project supplies deployable artifacts (Bicep/ARM/Terraform modules, examples, and documentation) to accelerate consistent...
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  • 17
    GraphQL Java Tools

    GraphQL Java Tools

    A schema-first tool for graphql-java inspired by graphql-tools for JS

    This library allows you to use the GraphQL schema language to build your graphql-java schema. Inspired by graphql-tools, it parses the given GraphQL schema and allows you to BYOO (bring your own object) to fill in the implementations. GraphQL Java Tools works extremely well if you already have domain POJOs that hold your data (e.g. for RPC, ORM, REST, etc) by allowing you to map these magically to GraphQL objects. GraphQL Java Tools aims for seamless integration with Java, but works for any...
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  • 18
    Rust Port

    Rust Port

    The Rust workspace under rust/ is the current systems-language port

    Rust Port is an open-source reconstruction and experimentation framework derived from leaked or reverse-engineered versions of advanced AI coding agents, designed to replicate and extend the capabilities of agentic development systems. It functions as a programmable coding assistant that operates through autonomous workflows, enabling users to generate, modify, and analyze code with minimal manual intervention.
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  • 19
    LLM Agents Papers

    LLM Agents Papers

    Must-read Papers on LLM Agents

    LLM Agent Papers is an open-source repository that curates research papers related to large language model agents and autonomous AI systems. The project organizes academic literature that explores how language models can act as agents capable of reasoning, planning, and interacting with external tools or environments. Rather than providing software code, the repository functions as a structured knowledge base that helps researchers navigate the rapidly expanding field of agent-based AI research. ...
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  • 20
    Poetiq

    Poetiq

    Reproduction of Poetiq's record-breaking submission to the ARC-AGI-1

    poetiq-arc-agi-solver is the open-source codebase from Poetiq that replicates their record-breaking submission to the challenging benchmark suite ARC-AGI (both ARC-AGI-1 and ARC-AGI-2). The project demonstrates a system that orchestrates large language models (LLMs) — like those from major providers — with carefully engineered prompting, reasoning workflows, and dynamic strategies, to tackle the abstract, logic-heavy problems in ARC-AGI. Instead of relying on a single prompt or fixed...
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  • 21
    GLM-4.6V

    GLM-4.6V

    GLM-4.6V/4.5V/4.1V-Thinking, towards versatile multimodal reasoning

    GLM-4.6V represents the latest generation of the GLM-V family and marks a major step forward in multimodal AI by combining advanced vision-language understanding with native “tool-call” capabilities, long-context reasoning, and strong generalization across domains. Unlike many vision-language models that treat images and text separately or require intermediate conversions, GLM-4.6V allows inputs such as images, screenshots or document pages directly as part of its reasoning pipeline — and...
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  • 22
    FlowLens MCP

    FlowLens MCP

    Open-source MCP server that gives your coding agent

    FlowLens MCP Server is an open-source tool designed to give AI-powered coding agents (like Claude Code, Cursor, GitHub Copilot / Codex, and others) full, replayable browser context to dramatically improve debugging, bug reporting, and regression testing for web applications. It works together with a companion browser extension: when a user reproduces a bug or a complicated UI interaction, the extension captures a rich session log, including screen/video recording, network traffic, console logs, DOM events, storage changes, and more, and exports it. ...
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  • 23
    GoNB

    GoNB

    GoNB, a Go Notebook Kernel for Jupyter

    Go is a compiled language, but with very fast compilation, that allows one to use it in a REPL (Read-Eval-Print-Loop) fashion, by inserting a "Compile" step in the middle of the loop -- so it's a Read-Compile-Run-Print-Loop — while still feeling very interactive. GoNB leverages that compilation speed to implement a full-featured (at least it's getting there) Jupyter notebook kernel. As a side benefit it works with packages that use CGO — although it won't parse C code in the cells, so it...
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  • 24
    Story Flicks

    Story Flicks

    Generate high-definition story short videos with one click using AI

    Story Flicks is another open-source project in the AI-assisted video generation / editing space, focused on creating short, story-style videos from script or prompt inputs. It aims to let users generate high-definition short movies or video stories with minimal manual effort, using AI models under the hood to assemble visuals, timing, and possibly narration or subtitles.
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  • 25
    Klavis AI

    Klavis AI

    MCP integration platforms for AI agents to use tools at any scale

    Klavis AI is a Y Combinator X25-backed open-source infrastructure platform that enables AI agents to reliably connect with external tools and services at scale through Model Context Protocol (MCP). Founded by ex-Google DeepMind and ex-Lyft engineers, Klavis provides 50+ production-ready MCP servers with enterprise OAuth support for GitHub, Slack, Gmail, Salesforce, Linear, Notion, and more. The flagship product Strata solves tool overload through progressive discovery, achieving +13% higher...
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