Search Results for "artificial intelligence php" - Page 40

Showing 7628 open source projects for "artificial intelligence php"

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  • 1
    GPT-API-free

    GPT-API-free

    Free ChatGPT&DeepSeek API Key

    GPT-API-free is a project that provides access to GPT-style APIs without requiring direct integration with paid official endpoints, focusing on accessibility and ease of experimentation. It offers a proxy-based approach that allows developers to interact with language models through a simplified interface, often requiring minimal configuration. The system is designed to lower barriers for developers who want to test or build applications using conversational AI without managing billing or...
    Downloads: 9 This Week
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  • 2
    Sourcebot

    Sourcebot

    Tool that helps humans and agents understand your codebase

    Sourcebot is a self-hosted code intelligence platform that helps developers and AI agents understand large codebases through search, navigation, and natural language queries. It allows users to ask complex questions about their repositories and receive structured answers grounded in actual code references. The system combines fast code search with reasoning models, enabling it to traverse dependencies, follow references, and generate contextual explanations. It supports indexing multiple...
    Downloads: 3 This Week
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  • 3
    Hunyuan3D-2.1

    Hunyuan3D-2.1

    From Images to High-Fidelity 3D Assets

    Hunyuan3D-2.1 is Tencent Hunyuan’s advanced 3D asset generation system that produces high-fidelity 3D models with Physically Based Rendering (PBR) textures. It is fully open-source with released model weights, training, and inference code. It improves on prior versions by using a PBR texture pipeline (enabling realistic material effects like reflections and subsurface scattering) and allowing community fine-tuning and extension. It supports both shape generation (mesh geometry) and texture...
    Downloads: 14 This Week
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  • 4
    LangChain

    LangChain

    ⚡ Building applications with LLMs through composability ⚡

    Large language models (LLMs) are emerging as a transformative technology, enabling developers to build applications that they previously could not. But using these LLMs in isolation is often not enough to create a truly powerful app - the real power comes when you can combine them with other sources of computation or knowledge. This library is aimed at assisting in the development of those types of applications.
    Downloads: 12 This Week
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  • 5
    geo-seo-claude

    geo-seo-claude

    GEO-first SEO skill for Claude Code

    geo-seo-claude is an AI-powered tool designed to automate the creation of geographically optimized SEO content using large language models, helping businesses improve their visibility in local search results. It leverages AI to generate location-specific content tailored to different regions, allowing users to scale SEO efforts across multiple cities or markets without manual content creation. The system focuses on producing structured and keyword-optimized pages that align with search...
    Downloads: 3 This Week
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  • 6
    AudioMuse-AI

    AudioMuse-AI

    AudioMuse-AI is an Open Source Dockerized environment

    AudioMuse-AI is an open-source system designed to automatically generate playlists and analyze music libraries using artificial intelligence and audio signal processing techniques. The platform runs locally in a Dockerized environment and performs detailed sonic analysis on audio files to understand characteristics such as tempo, mood, and acoustic similarity. By analyzing the underlying audio content rather than relying on external metadata services, the system can organize large personal music libraries and generate curated playlists for different moods or listening contexts. ...
    Downloads: 3 This Week
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  • 7
    MusicGPT

    MusicGPT

    Generate music based on natural language prompts using LLMs

    MusicGPT is an open-source application designed to generate music from natural language prompts using locally executed artificial intelligence models. The software allows users to run advanced music generation systems directly on their own devices without requiring heavy dependencies such as Python or full machine learning frameworks. Instead, it provides a lightweight environment capable of executing music generation models locally on CPUs or GPUs while maintaining strong performance across operating systems including Windows, macOS, and Linux. ...
    Downloads: 3 This Week
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  • 8
    Archon

    Archon

    The knowledge and task management backbone for AI coding assistants

    Archon is an open-source “command center” designed to enhance AI coding assistant workflows by giving developers a centralized environment for knowledge management, context engineering, and task coordination across AI agents. It acts as a backend (including an MCP server) that allows different AI coding tools and assistants to share the same structured context, knowledge base, and task lists, improving consistency, productivity, and collaboration across multi-agent interactions. Users can...
    Downloads: 8 This Week
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  • 9
    OpenFace Face Recognition

    OpenFace Face Recognition

    Face recognition with deep neural networks

    OpenFace is a Python and Torch implementation of face recognition with deep neural networks and is based on the CVPR 2015 paper FaceNet: A Unified Embedding for Face Recognition and Clustering by Florian Schroff, Dmitry Kalenichenko, and James Philbin at Google. Torch allows the network to be executed on a CPU or with CUDA. This research was supported by the National Science Foundation (NSF) under grant number CNS-1518865. Additional support was provided by the Intel Corporation, Google,...
    Downloads: 3 This Week
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  • 10
    GoClaw

    GoClaw

    GoClaw is OpenClaw rebuilt in Go

    GoClaw is an enterprise AI agent platform that rebuilds OpenClaw in Go for stronger concurrency, simpler deployment, and production-oriented multi-agent orchestration. It acts as a gateway that connects language models to tools, channels, memory, and organizational data through a single binary. The platform is built for teams that need multiple agents to collaborate, delegate tasks, and operate across different providers without losing tenant isolation. It supports more than 20 LLM providers...
    Downloads: 0 This Week
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  • 11
    Taste Skill

    Taste Skill

    Taste-Skill - gives your AI good taste. stops the AI

    Taste Skill is a project focused on structured skill development, likely combining curated content, learning paths, and interactive elements to help users build expertise in specific domains. It appears to emphasize personalized or modular learning, allowing users to explore topics based on interest or progression level. The platform may integrate recommendation systems or categorized content to guide users through a learning journey efficiently. Its design suggests an emphasis on...
    Downloads: 0 This Week
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  • 12
    Browserbase Skills

    Browserbase Skills

    Claude Agent SDK with a web browsing tool

    Browserbase Skills is a collection of reusable automation “skills” designed to enable AI agents to interact with web environments programmatically. It provides structured workflows that abstract browser actions such as navigation, form filling, and data extraction into composable building blocks. The system is intended to simplify the development of browser-based agents by offering prebuilt capabilities that can be orchestrated together. It integrates with headless browser infrastructure,...
    Downloads: 0 This Week
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  • 13
    Claude Context

    Claude Context

    Code search MCP for Claude Code

    Claude Context is a tool designed to enhance the contextual understanding of large language models by managing and injecting relevant information into prompts. It focuses on improving response quality by ensuring that models have access to the most relevant data when generating outputs. The system integrates with vector databases and retrieval systems, enabling efficient storage and retrieval of contextual information. It supports workflows such as retrieval-augmented generation, where...
    Downloads: 0 This Week
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  • 14
    pump-fun-skills

    pump-fun-skills

    This repo contains pump fun skills for AI agents

    pump-fun-skills is a repository that provides a collection of predefined “skills” or modules designed for use with AI agents in the pump.fun ecosystem. These skills represent reusable capabilities that agents can execute, enabling more structured and modular behavior. The project focuses on expanding the functionality of agents by providing ready-to-use components that can be combined into larger workflows. It supports customization, allowing developers to adapt or extend skills to meet...
    Downloads: 0 This Week
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  • 15
    typeui.sh

    typeui.sh

    Design system skills for agentic tools

    typeui.sh is a type-safe UI framework designed to streamline the development of user interfaces by leveraging strong typing and structured definitions. It focuses on improving developer productivity by reducing runtime errors and ensuring consistency across UI components. The framework integrates closely with TypeScript, allowing developers to define interfaces and components with strict type validation. It supports component-based architecture, making it easier to build scalable and...
    Downloads: 0 This Week
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  • 16
    ComfyUI-HunyuanVideoWrapper

    ComfyUI-HunyuanVideoWrapper

    ComfyUI wrapper nodes for HunyuanVideo

    The ComfyUI-HunyuanVideoWrapper project is a ComfyUI extension that integrates Hunyuan-based multimodal video generation models into node-based workflows. It allows users to generate or manipulate video content by combining text prompts with one or more input images, enabling flexible conditioning of outputs. The system introduces specialized nodes such as text-image encoders that allow multiple image inputs to be referenced directly within prompts. This makes it possible to guide generation...
    Downloads: 0 This Week
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  • 17
    Rewriting Project Claw Code

    Rewriting Project Claw Code

    Ensure consistency and alignment between different codebases

    Rewriting Project Claw Code is a development tool or framework designed to ensure consistency and alignment between different codebases, environments, or implementations. It focuses on maintaining parity across systems, which is particularly important in distributed architectures or multi-platform applications. The project provides mechanisms to compare, validate, and synchronize code or behavior, helping teams avoid discrepancies that can lead to bugs or inconsistencies. It may include...
    Downloads: 0 This Week
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  • 18
    clawchief

    clawchief

    Turn your OpenClaw into a Chief of Staff

    clawchief is an agent orchestration and management layer designed to coordinate and control multiple AI agents within structured workflows, acting as a central authority that assigns tasks, monitors execution, and ensures coherence across complex operations. The system is built around the idea of hierarchical control, where a “chief” agent oversees subordinate agents and directs their activities based on high-level objectives. This approach allows for more predictable and organized...
    Downloads: 0 This Week
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  • 19
    OpenClaw Control Center

    OpenClaw Control Center

    Turn OpenClaw from a black box into a local control center

    OpenClaw Control Center is a centralized management interface designed to oversee, configure, and monitor agent-based systems, particularly those built within the OpenClaw ecosystem. It provides a control layer that allows users to interact with agents, track their performance, and adjust operational parameters in real time. The system is likely built with usability in mind, offering dashboards or visualization tools that make complex agent behaviors easier to understand and manage. It may...
    Downloads: 0 This Week
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  • 20
    AlphaTree

    AlphaTree

    DNN && GAN && NLP && BIG DATA

    AlphaTree is an educational repository that provides a visual roadmap of deep learning models and related artificial intelligence technologies. The project focuses on explaining the historical development and relationships between major neural network architectures used in modern machine learning. It presents diagrams and documentation describing the evolution of models such as LeNet, AlexNet, VGG, ResNet, DenseNet, and Inception networks. The repository organizes these architectures into a structured learning path that helps learners understand how deep learning models improved over time through changes in depth, architectural complexity, and training techniques. ...
    Downloads: 0 This Week
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  • 21
    Deep Learning Interviews book

    Deep Learning Interviews book

    Hundreds of fully solved job interview questions

    The interviews.ai repository hosts the open materials for the book Deep Learning Interviews, a comprehensive collection of technical questions and fully solved problems covering many aspects of artificial intelligence. The project was created to help students, researchers, and engineers prepare for machine learning and deep learning interviews by providing structured explanations of key concepts. The repository organizes problems across topics such as neural networks, optimization, probabilistic models, and mathematical foundations of machine learning. ...
    Downloads: 0 This Week
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  • 22
    ML Retreat

    ML Retreat

    Machine Learning Journal for Intermediate to Advanced Topics

    ML Retreat is an open-source learning repository that serves as a structured journal documenting advanced topics in machine learning and artificial intelligence. The project compiles detailed notes, technical explanations, and curated resources that guide readers through complex concepts across modern AI research. Rather than functioning as a traditional tutorial series, the repository is organized as a learning journey that progressively explores increasingly advanced subjects. ...
    Downloads: 0 This Week
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  • 23
    i.am.ai

    i.am.ai

    Roadmap to becoming an Artificial Intelligence Expert in 2022

    i.am.ai is a structured educational guide that maps out the knowledge areas and technologies required to become an artificial intelligence or machine learning expert. The project presents visual charts that outline multiple career paths such as data scientist, machine learning engineer, and AI specialist, helping learners understand what to study and in what order. It was originally created to train internal employees but was released publicly to support the broader community. ...
    Downloads: 0 This Week
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  • 24
    AWorld

    AWorld

    Build, evaluate and train General Multi-Agent Assistance with ease

    AWorld (Agent World) is an agent runtime/framework. It supports building, evaluating, and training self-improving intelligent agents and multi-agent systems (MAS). It is designed to provide infrastructure for agent orchestration, iterative learning, and environment interaction at scale. Scalable training across environments and distributed setups. Support for multi-agent collaboration/orchestration (MAS). The system is intended to help agents evolve via experience. It provides features to...
    Downloads: 0 This Week
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  • 25
    npcpy

    npcpy

    The AI toolkit for the AI developer

    npcpy is a Python-based agent framework and command-line toolkit (the NPC Shell) for developers to build, test, and integrate AI agents into their workflows, including both command-line and GUI interfaces via NPC Studio. Welcome to npcpy, the core library of the NPC Toolkit that supercharges natural language processing pipelines and agent tooling. npcpy is a flexible framework for building state-of-the-art applications and conducting novel research with LLMs. The structure of npcpy also...
    Downloads: 0 This Week
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