Search Results for "model-builder" - Page 76

Showing 6999 open source projects for "model-builder"

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  • 1
    3DCellForge

    3DCellForge

    AI-powered interactive 3D cell generation and exploration studio

    ...The project also supports optional image-to-3D generation through cloud providers and local backends, while keeping API keys on the server side instead of exposing them in the frontend bundle. It includes cached demo models so the experience can work without generating a new model every time. Overall, it is a creative research and education tool for visualizing cell structures in a more interactive way than static diagrams.
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  • 2
    zero-native

    zero-native

    Build desktop + mobile apps with Zig and web UI

    ...The project supports lightweight system WebView rendering for smaller binaries, while also offering Chromium through CEF when predictable rendering is more important. Its Zig foundation enables fast native rebuilds and direct access to platform SDKs, native libraries, codecs, and local integrations. The app model includes a manifest for metadata, icons, windows, frontend assets, engine selection, security policy, bridge permissions, and packaging inputs. It is still pre-release, but it provides a promising path for developers who want web UI productivity with a leaner native runtime than heavier desktop frameworks.
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  • 3
    pyinfra

    pyinfra

    pyinfra turns Python code into shell commands

    ...The system converts Python code into shell commands and executes them across servers, Docker containers, and local machines through an agentless architecture. Designed as an alternative to tools like Ansible, pyinfra prioritizes speed, scalability, and developer flexibility while maintaining a declarative operational model. It supports ad-hoc command execution, reusable operations, inventory management, and parallel deployments across thousands of hosts. The framework integrates naturally with existing DevOps ecosystems and allows users to create highly customizable deployment logic using native Python syntax. Its architecture combines infrastructure-as-code concepts with efficient remote execution, making it suitable for modern cloud and server automation workflows.
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  • 4
    AgentGuard

    AgentGuard

    AgentGuard is a firewall for AI agents

    AgentGuard is a real-time protection layer designed to safeguard AI agents and applications from runaway execution, excessive costs, and unsafe behavior during interaction with large language model APIs. It works by intercepting API calls made by an AI system and continuously monitoring usage, including token consumption and associated costs, allowing developers to enforce strict budget limits. When predefined thresholds are reached, the system can automatically halt execution, trigger alerts, or gracefully terminate processes depending on the configured mode. ...
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  • 5
    Output

    Output

    TypeScript framework for building AI workflows and agents

    ...Output includes built-in evaluation systems, such as LLM-as-a-judge scoring, and integrates workflow orchestration tools like Temporal to handle retries, parallel execution, and state management. It also supports multiple model providers through a unified API.
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  • 6
    Painting Droid

    Painting Droid

    AI-powered cross-platform painting app

    Painting Droid is a creative application that combines digital painting tools with AI-powered features to enhance artistic workflows. It provides a drawing interface where users can create and modify artwork while leveraging AI models for tasks such as image generation, transformation, or enhancement. The application is designed to be intuitive and accessible, making it suitable for both beginners and experienced digital artists. It integrates with AI backends to expand creative...
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  • 7
    Writeopia

    Writeopia

    Write like nobody’s watching. Because they aren't

    Writeopia is a modern text editor and SDK that integrates artificial intelligence capabilities while prioritizing offline functionality and user privacy. It is designed to give users full control over their data by allowing them to run AI models locally instead of relying on cloud-based services. The application supports a wide range of writing use cases, including note-taking, coding, blogging, and creative writing, all within a distraction-free environment. It is built using a...
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  • 8
    ShellOracle

    ShellOracle

    A terminal utility for intelligent shell command generation

    ShellOracle is a command-line utility designed to translate natural language instructions into executable shell commands, enhancing productivity for developers and system administrators. It integrates with multiple large language model providers, including local and cloud-based systems, to generate accurate and context-aware command suggestions. The tool operates directly within the terminal and can be triggered through keyboard shortcuts, allowing users to describe tasks in plain English and receive ready-to-run commands. It maintains a history of prompts and generated commands, enabling users to revisit previous queries and refine workflows over time. ...
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  • 9
    TUI for LLMs

    TUI for LLMs

    TUI interface for LLMs written in Rust

    ...The tool supports integration with multiple providers, enabling users to switch between local models and remote APIs without changing their workflow significantly. It includes features such as prompt management, session handling, and configurable parameters to control model behavior during execution. Tenere emphasizes minimalism while still offering enough flexibility to support scripting, automation, and experimentation. Its lightweight design makes it easy to install and run without heavy dependencies. Overall, Tenere is a practical utility for developers who want fast, scriptable access to LLMs from the command line.
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  • 10
    ollama-hpp

    ollama-hpp

    Modern, Header-only C++ bindings for the Ollama API

    ...It includes support for streaming responses, enabling applications to process output as it is generated rather than waiting for full completions. The project also evolves alongside the Ollama API, adding support for newer features such as blob handling and improved model interaction capabilities. Its design prioritizes simplicity, allowing developers to quickly integrate AI features without introducing large dependencies.
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  • 11
    any-llm

    any-llm

    Communicate with an LLM provider using a single interface

    any-llm is a unified SDK and platform developed by Mozilla AI that allows developers to interact with multiple large language model providers through a single, consistent interface. Instead of rewriting code for each provider, developers can switch between services like OpenAI, Anthropic, Mistral, and Ollama simply by changing configuration parameters. The project is designed to be framework-agnostic, making it easy to integrate into scripts, applications, or production systems without being tied to a specific stack. ...
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  • 12
    Ellama

    Ellama

    Ellama is a tool for interacting with large language models from Emacs

    Ellama is an Emacs integration that brings large language model capabilities directly into the Emacs editor environment, focusing on extensibility and deep workflow integration. It allows users to interact with local or remote models through a unified interface embedded within their editing sessions. The tool is designed to align with Emacs’ philosophy of customization, enabling users to define prompts, commands, and behaviors tailored to their workflows.
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  • 13
    Ollama Grid Search

    Ollama Grid Search

    A multi-platform desktop application to evaluate and compare LLM

    Ollama Grid Search is a desktop application designed to automate the evaluation and comparison of large language models, prompts, and inference parameters in a structured and repeatable way. Instead of manually testing combinations, the tool performs grid search experiments by iterating across different models, prompt variations, and parameter configurations, allowing users to quickly identify optimal setups for specific tasks. It provides a visual interface where experiment results can be...
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  • 14
    Ollama RAG Chatbot

    Ollama RAG Chatbot

    Chat with multiple PDFs locally

    ...The project is framed as an experiment, but its setup and packaging make it approachable for practical local use as well. It supports running on a local machine or in Kaggle, which lowers the barrier for users who want to test RAG workflows without building everything from scratch. Model support is flexible, with compatibility for both Hugging Face models and Ollama-based models, and the interface is delivered through Gradio for a lightweight user experience. The main value of the project is its ability to process multiple PDF inputs and turn them into a question-answering workflow centered on document retrieval. ...
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  • 15
    Keychron Hardware Design

    Keychron Hardware Design

    Industrial design files for Keychron keyboards and mice

    ...It is designed both as an educational resource and as a foundation for creating compatible accessories, giving users the ability to measure, remix, and prototype hardware components. The project encourages experimentation and learning by providing structured documentation, guides, and model organization across product families.
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  • 16
    SynaBun

    SynaBun

    Persistent vector memory for AI assistants

    Synabun is an open-source AI memory management and augmentation system designed to provide persistent, semantic memory for AI agents and coding assistants, particularly those compatible with the MCP (Model Context Protocol) ecosystem. It functions as a local-first solution that stores and retrieves contextual knowledge across sessions using a built-in vector database powered by embeddings, eliminating the need for external APIs, cloud services, or Docker dependencies. The system integrates tightly with developer workflows by running alongside tools like Claude Code, enabling automatic memory capture, retrieval, and contextual augmentation through lifecycle hooks and commands. ...
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  • 17
    GBrain

    GBrain

    Garry's Opinionated OpenClaw/Hermes Agent Brain

    ...The system is tightly integrated with agent frameworks such as OpenClaw and Hermes, allowing AI agents to read from and write to memory continuously, effectively evolving their understanding over time. GBrain introduces a hybrid retrieval model that combines embeddings with ranking strategies to improve relevance when querying large datasets. It also organizes knowledge into structured documents with summaries and timelines, helping agents maintain context and track changes in information.
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  • 18
    Flowbite Svelte

    Flowbite Svelte

    Official Svelte components built for Flowbite and Tailwind CSS

    ...The library provides a comprehensive collection of interactive elements such as modals, dropdowns, navigation bars, forms, and data display components, all implemented with Svelte’s reactive model rather than external JavaScript logic. Because Svelte compiles components into efficient JavaScript that directly manipulates the DOM, Flowbite Svelte benefits from high performance and minimal runtime overhead while still offering rich interactivity. The project is designed to accelerate frontend development by offering ready-made building blocks that can be easily customized using Tailwind utility classes, making it suitable for both rapid prototyping and production applications.
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  • 19
    tachyonfx

    tachyonfx

    Effects and animation library for Ratatui applications

    ...The library focuses on enhancing the visual expressiveness of terminal applications, which are traditionally static, by introducing motion, interpolation, and smooth transitions between UI states. TachyonFX integrates deeply with Ratatui’s rendering model, allowing developers to apply effects to widgets, layouts, or entire scenes without rewriting core UI logic. It also supports real-time updates and interactive behaviors, making it suitable for applications that require responsive visual feedback.
    Downloads: 0 This Week
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  • 20
    Rhai

    Rhai

    An embedded scripting language for Rust

    Rhai is a lightweight, embedded scripting language and evaluation engine designed specifically for integration into Rust applications, offering a safe and flexible way to add dynamic behavior without sacrificing performance or security. It features a syntax that blends familiarity from JavaScript and Rust, making it approachable for developers while maintaining expressive power through dynamic typing and simple constructs. Rhai is optimized for embedding, allowing developers to expose native...
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  • 21
    wazero

    wazero

    The zero dependency WebAssembly runtime for Go developers

    ...One of its defining characteristics is its pure Go implementation, which simplifies cross-compilation and deployment across different platforms. Wazero is designed to securely run code compiled from other languages, leveraging WebAssembly’s sandboxing model to isolate execution and reduce risk. It is particularly useful for embedding plugins, extending applications, or running untrusted code in a controlled environment. The runtime also provides flexible configuration options and integrates seamlessly into Go-based systems, making it a powerful tool for modern backend and systems development.
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  • 22
    lldap

    lldap

    Light LDAP implementation

    ...Written in Rust, lldap benefits from strong memory safety guarantees and performance efficiency, making it suitable for self-hosted environments and small-to-medium-scale deployments. The project emphasizes usability, offering a more approachable configuration model and integration capabilities for authentication and identity management systems. lldap is particularly useful for developers and organizations that need LDAP-compatible authentication without the complexity of legacy systems like OpenLDAP. Its design prioritizes clarity, maintainability, and ease of deployment, aligning with modern infrastructure practices.
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  • 23
    Companion notebooks for Deep Learning

    Companion notebooks for Deep Learning

    Jupyter notebooks for the code samples of the book

    ...The material is designed to be accessible while still covering advanced topics, making it suitable for both beginners and intermediate practitioners. It leverages modern libraries and frameworks to demonstrate real-world applications of deep learning techniques. The notebooks also emphasize best practices in model training, evaluation, and deployment. Overall, this project serves as a comprehensive educational resource for learning deep learning through practical experimentation.
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  • 24
    Ultralytics

    Ultralytics

    Ultralytics YOLO

    ...It is designed to be fast, accurate, and easy to use, offering both command-line and Python-based interfaces for training, validation, and deployment of machine learning models. The framework supports a full end-to-end workflow, including dataset preparation, model training, evaluation, and export to various deployment formats. Its architecture emphasizes performance optimization, balancing speed and accuracy to support real-time applications across industries. Ultralytics also provides pretrained models and flexible configuration options, allowing users to adapt the system to different datasets and use cases with minimal effort.
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  • 25
    Godot MCP

    Godot MCP

    MCP server for interfacing with Godot game engine

    Godot MCP is a Model Context Protocol server that enables AI assistants to directly interact with the Godot game engine, allowing programmatic control over game development workflows through natural language or agent-driven commands. It acts as a bridge between AI systems and the Godot editor, providing capabilities such as launching projects, running games in debug mode, and capturing runtime output for analysis.
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