Showing 189 open source projects for "path-setting"

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  • Build Agents and Models on One Platform Icon
    Build Agents and Models on One Platform

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  • 1
    AI Engineering Transition Path

    AI Engineering Transition Path

    Research papers and blogs to transition to AI Engineering

    AI Engineering Resources is an open educational repository that compiles research papers, tutorials, and learning materials for software engineers transitioning into artificial intelligence engineering roles. The project organizes resources that cover fundamental topics required to understand modern AI systems, including transformers, vector embeddings, tokenization, infrastructure design, and mixture-of-experts architectures. Instead of presenting isolated tutorials, the repository provides...
    Downloads: 0 This Week
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  • 2
    TensorRT Backend For ONNX

    TensorRT Backend For ONNX

    ONNX-TensorRT: TensorRT backend for ONNX

    ...Building INetwork objects in full dimensions mode with dynamic shape support requires calling the C++ and Python API. Current supported ONNX operators are found in the operator support matrix. For building within docker, we recommend using and setting up the docker containers as instructed in the main (TensorRT repository). Note that this project has a dependency on CUDA. By default the build will look in /usr/local/cuda for the CUDA toolkit installation. If your CUDA path is different, overwrite the default path. ONNX models can be converted to serialized TensorRT engines using the onnx2trt executable.
    Downloads: 0 This Week
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  • 3
    XiaoZhi AI Chatbot

    XiaoZhi AI Chatbot

    Build your own AI friend

    xiaozhi-esp32 is an open-source project that guides users in building their own AI-powered conversational companion using the ESP32 microcontroller. The project provides detailed instructions on assembling the hardware, setting up the software, and integrating AI models to enable natural language interactions. This DIY approach offers an accessible entry point into AI and hardware development.
    Downloads: 153 This Week
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  • 4
    Pixel2Motion

    Pixel2Motion

    AI logo animation skill: turn raster logos into smooth SVG animation

    ...It is built for designers and developers who need polished logo reveals without manually rebuilding every asset from scratch. Its workflow emphasizes visual quality, semantic SVG structure, and motion QA evidence. It also includes scripts for overlay checks, path audits, frame captures, and deterministic animation previews.
    Downloads: 1 This Week
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    99.99% Uptime for MySQL and PostgreSQL Databases

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  • 5
    All Agentic Architectures

    All Agentic Architectures

    Implementation of 17+ agentic architectures

    ...Each architecture is explained through runnable notebooks that illustrate how the agent works internally and how it interacts with tools, data sources, or other agents. The repository organizes the architectures into a structured learning path that progresses from simple reasoning agents to complex multi-agent systems. Examples include planning agents, tool-using agents, tree-of-thought reasoning systems, and collaborative multi-agent environments.
    Downloads: 1 This Week
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  • 6
    OpenClaw Installer

    OpenClaw Installer

    ClawdBot one-click deployment tool

    OpenClaw Installer is an open-source one-click deployment and configuration tool for installing OpenClaw — a personal AI assistant — onto systems with minimal manual setup, giving users a streamlined path to get their own AI assistant running quickly. The project provides shell scripts and configuration menus that detect the host environment, install dependencies, download OpenClaw, configure core settings like AI models and identity channels, and start the server automatically. It supports multiple platforms, including macOS, Linux distributions (Ubuntu, Debian, CentOS), and Windows environments via compatible shells, and simplifies otherwise complex installation steps into a guided, terminal-based experience. ...
    Downloads: 30 This Week
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  • 7
    Antigravity CLI

    Antigravity CLI

    The CLI understands codebases, makes edits and executes commands

    Antigravity CLI is Google’s command-line AI coding agent for working with a codebase directly from the terminal. It can understand project context, make code edits with user permission, and execute commands as part of an agent-assisted development workflow. The tool is positioned as part of Google Antigravity’s newer agent-first platform and succeeds key Gemini CLI workflows while adding a more robust foundation for complex coding tasks. It supports important agent capabilities such as Agent...
    Downloads: 26 This Week
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  • 8
    HRM-Text

    HRM-Text

    1B text generation model based on the HRM architecture

    ...Its training stack includes PrefixLM sequence packing, FlashAttention 3 kernels, PyTorch FSDP2, evaluation scripts, and checkpoint conversion tools. The repository supports reference pretraining runs for smaller and larger configurations, with Hopper-class GPUs expected for the attention path. It is useful for researchers and engineers exploring efficient language model pretraining, reasoning-focused architectures, and reproducible foundation model experiments.
    Downloads: 0 This Week
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  • 9
    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. It introduces a paradigm shift where coding becomes a conversational process, allowing users to build software by describing their intent rather than writing every line of code manually. ...
    Downloads: 0 This Week
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  • 10
    i.am.ai

    i.am.ai

    Roadmap to becoming an Artificial Intelligence Expert in 2022

    ...The roadmap emphasizes foundational skills like mathematics, programming, and data handling before progressing into deep learning and specialized domains. Rather than prescribing a single path, it helps users navigate the AI landscape and understand which tools fit different scenarios. Overall, the repository serves as a high-level strategic learning map for individuals planning long-term AI careers.
    Downloads: 0 This Week
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  • 11
    Claude Code Config

    Claude Code Config

    My personal Claude Code configuration

    ...The project centralizes configuration files that instruct Claude Code how to behave in different contexts, automating repetitive tasks and enforcing coding patterns across languages or project types. Its rulesets can apply path-scoped conventions (such as for TypeScript or test files), while hooks trigger scripts on specific events like prompt submission or automated checks. Custom agents help perform specialized tasks like codebase search or documentation generation, and skills extend Claude’s capabilities with domain-specific utilities. Commands provide quick shortcuts and interactions within the Claude Code environment, helping streamline workflows.
    Downloads: 0 This Week
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  • 12
    llms-from-scratch-cn

    llms-from-scratch-cn

    Build a large language model from 0 only with Python foundation

    llms-from-scratch-cn is an educational open-source project designed to teach developers how to build large language models step by step using practical code and conceptual explanations. The repository provides a hands-on learning path that begins with the fundamentals of natural language processing and gradually progresses toward implementing full GPT-style architectures from the ground up. Rather than focusing on using pre-trained models through APIs, the project emphasizes understanding the internal mechanisms of modern language models, including tokenization, attention mechanisms, transformer architecture, and training workflows. ...
    Downloads: 1 This Week
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  • 13
    MCP Shell Server

    MCP Shell Server

    Shell command execution server implementing the Model Context Protocol

    A secure shell command execution server implementing the Model Context Protocol (MCP), allowing remote execution of whitelisted shell commands with support for standard input. ​
    Downloads: 3 This Week
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  • 14
    Jimp

    Jimp

    An image processing library written entirely in JavaScript for Node

    ...If you're using webpack you can set process.browser to true and your build of jimp will exclude certain parts, making it load faster. The static Jimp.read method takes the path to a file, URL, dimensions, a Jimp instance or a buffer and returns a Promise. In some cases, you need to pass additional parameters with an image's URL.
    Downloads: 2 This Week
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  • 15
    LLaMA 3

    LLaMA 3

    The official Meta Llama 3 GitHub site

    ...As the Llama stack evolved, Meta consolidated repositories and marked this one deprecated, pointing users to newer, centralized hubs for models, utilities, and docs. Even as a deprecated repo, it documents the transition path and preserves references that clarify how Llama 3 releases map into the current ecosystem. Practically, it functioned as a bridge between Llama 2 and later Llama releases by standardizing distribution and starter code for inference and fine-tuning. Teams still treat it as historical reference material for version lineage and migration notes.
    Downloads: 25 This Week
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  • 16
    Flint Chart

    Flint Chart

    Visualization language that lets AI agents create expressive charts

    Flint Chart is a visualization language and compiler built for AI-era chart creation. It lets agents and humans write compact, editable chart specifications without manually tuning every axis, label, scale, legend, or layout setting. The compiler uses data, semantic types, chart type, and encodings to derive polished chart settings automatically. One Flint input can compile into native Vega-Lite, ECharts, or Chart.js specifications. The repository includes a TypeScript library, an MCP server, a demo site, documentation, test data, and an early Python port. ...
    Downloads: 6 This Week
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  • 17
    Gorden Super PPT Skills

    Gorden Super PPT Skills

    AI PPT Track Terminator, the strongest PPT Skill ever

    Gorden Super PPT Skills is an AI presentation skill package for generating high-density visual presentations and converting them into editable PowerPoint files. The workflow is split into three skills that can be used separately or together. One skill generates image-based presentation pages from a topic or content brief. Another skill reconstructs image slides into editable PPTX files by separating backgrounds, layout structures, icons, decorations, and text. The orchestration skill chains...
    Downloads: 8 This Week
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  • 18
    Start Machine Learning in 2026

    Start Machine Learning in 2026

    A complete guide to start and improve in machine learning

    ...Its structure functions as a learning roadmap that gradually introduces essential topics such as programming, mathematics, statistics, neural networks, and modern deep learning techniques. The repository emphasizes flexibility by allowing learners to choose their own path through the material depending on their interests, preferred learning style, and level of prior knowledge. Many of the resources referenced are free or widely accessible, making the guide practical for self-learners who want to study independently without formal coursework.
    Downloads: 0 This Week
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  • 19
    Claude Code Haha

    Claude Code Haha

    Claude Code leaked source - locally runnable version

    ...While it retains the core functionality of analyzing and modifying codebases, the project introduces variations that highlight both the strengths and quirks of autonomous coding assistants. It serves as a sandbox for testing how agents interpret instructions, manage context, and execute development tasks in a less formal or more exploratory setting. The repository likely includes playful modifications, custom prompts, or unconventional workflows that reveal edge cases in agent behavior. Despite its informal tone, it still provides insight into how coding agents can be structured and extended. It is particularly useful for understanding limitations, failure modes, and creative applications of AI-driven development tools.
    Downloads: 8 This Week
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  • 20
    Just the Browser

    Just the Browser

    Remove AI features, telemetry data reporting, sponsored content

    ...Instead of modifying browser binaries, it applies supported group policies and configuration files that disable intrusive UI elements, data collection features, default pop-ups, and integrated services, giving users more control over privacy and interface simplicity. It includes setup scripts for Windows and Mac/Linux, and directories with manual configuration files that explain what each setting does, allowing power users to tailor the experience. Because the project leans on official group policy options, the changes persist as long as browsers support these settings, and users can easily revert them or extend them manually.
    Downloads: 8 This Week
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  • 21
    Qwen Code

    Qwen Code

    Qwen Code is a coding agent that lives in the digital world

    ...Qwen Code automates various development workflows, including handling pull requests and performing complex git rebases. It runs on Node.js (version 20 or higher) and can be installed globally via npm or from source. Users configure Qwen Code by setting API keys and endpoints, supporting both mainland China and international access. With Qwen Code, developers can explore codebases, refactor and optimize code, generate documentation, and automate repetitive tasks directly from the terminal.
    Downloads: 32 This Week
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  • 22
    Easy-Vibe

    Easy-Vibe

    Tutorial on Product Prototype, AI Capability Integration

    ...Instead of focusing only on theoretical concepts, Easy-Vibe emphasizes practical, step-by-step tutorials that demonstrate how to transform product ideas into working software using modern AI coding tools and development workflows. The learning path is divided into progressive stages that cover beginner concepts, full-stack development, and advanced multi-platform application development. Throughout the curriculum, learners explore topics such as prompt engineering, AI tool integration, product prototyping, and deployment strategies for AI-enabled applications.
    Downloads: 0 This Week
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  • 23
    nono

    nono

    Secure, kernel-enforced sandbox CLI and SDKs for AI agents

    nono is an open-source, kernel-enforced capability shell designed to safely run AI agents and other untrusted processes under strict operating system controls. The project addresses a growing security concern: modern coding agents typically execute with full user permissions, which means they can potentially read sensitive files, modify system configurations, or exfiltrate credentials if compromised. nono solves this by applying default-deny sandboxing at the kernel level using technologies...
    Downloads: 10 This Week
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  • 24
    dtreeviz

    dtreeviz

    Python library for decision tree visualization & model interpretation

    A python library for decision tree visualization and model interpretation. Decision trees are the fundamental building block of gradient boosting machines and Random Forests(tm), probably the two most popular machine learning models for structured data. Visualizing decision trees is a tremendous aid when learning how these models work and when interpreting models. The visualizations are inspired by an educational animation by R2D3; A visual introduction to machine learning. Please see How to...
    Downloads: 3 This Week
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  • 25
    Get Physics Done (GPD)

    Get Physics Done (GPD)

    The first open-source agentic AI physicist

    ...It aims to simplify the process of performing simulations, calculations, and experimental analysis by providing structured workflows that integrate computational physics methods with reproducible research practices. The project focuses on reducing the friction involved in setting up experiments, running simulations, and analyzing results, allowing researchers to focus more on scientific insight rather than infrastructure. It emphasizes automation and reproducibility, ensuring that experiments can be easily replicated and extended by other researchers. The framework is adaptable to different areas of physics, making it suitable for both theoretical and applied research scenarios.
    Downloads: 5 This Week
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