Showing 18 open source projects for "input-output model"

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  • 1
    CogAgent

    CogAgent

    An open sourced end-to-end VLM-based GUI Agent

    CogAgent is a 9B-parameter bilingual vision-language GUI agent model based on GLM-4V-9B, trained with staged data curation, optimization, and strategy upgrades to improve perception, action prediction, and generalization across tasks. It focuses on operating real user interfaces from screenshots plus text, and follows a strict input–output format that returns structured actions, grounded operations, and optional sensitivity annotations.
    Downloads: 15 This Week
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    Reins

    Reins

    Ollama client that simplifies experimenting with LLMs

    ...It also includes features for editing and regenerating messages, enabling iterative refinement of outputs without restarting conversations. Reins extends beyond text by supporting image input and multimodal interactions, which expands its use cases beyond basic chat scenarios. Overall, it is best suited for users who want granular control over model behavior and experimentation while maintaining a clean and intuitive interface.
    Downloads: 10 This Week
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  • 3
    kpt

    kpt

    Automate Kubernetes Configuration Editing

    kpt is a package-centric toolchain that enables a WYSIWYG configuration authoring, automation, and delivery experience, which simplifies managing Kubernetes platforms and KRM-driven infrastructure (e.g., Config Connector, Crossplane) at scale by manipulating declarative Configuration as Data. Any general-purpose or domain-specific language can be used to create functions to transform and/or validate the YAML KRM input/output format, but we provide SDKs to simplify the function authoring...
    Downloads: 44 This Week
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  • 4
    Open Asset Import Library

    Open Asset Import Library

    The open-asset-importer-library repository

    ...Written in C++, it is available under a liberal BSD license. There is a C API as well as bindings to various other languages, including C#, Python and D. Assimp loads all input model formats into one straightforward data structure for further processing.
    Downloads: 8 This Week
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  • 5
    MediaPipe

    MediaPipe

    Cross-platform, customizable ML solutions for live and streaming media

    ...MediaPipe Face Mesh is a face geometry solution that estimates 468 3D face landmarks in real-time even on mobile devices. It employs machine learning (ML) to infer the 3D surface geometry, requiring only a single camera input without the need for a dedicated depth sensor. Utilizing lightweight model architectures together with GPU acceleration throughout the pipeline, the solution delivers real-time performance-critical for live experiences. Human pose estimation from video plays a critical role in various applications such as quantifying physical exercises, sign language recognition, and full-body gesture control. ...
    Downloads: 79 This Week
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  • 6
    Fastbot-Android Open Source Handbook

    Fastbot-Android Open Source Handbook

    Testing tool for modeling GUI transitions

    ...Compared to traditional random-input tools (like Monkey), Fastbot supports much faster action insertion (up to ~12 actions per second) and can handle a variety of Android OS versions (from older through modern, including customized OS variants). It also supports model reuse: once a model of an app’s GUI transitions is built, subsequent testing sessions can reuse the model to speed up testing or target known risky paths.
    Downloads: 0 This Week
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  • 7
    ncnn

    ncnn

    High-performance neural network inference framework for mobile

    ncnn is a high-performance neural network inference computing framework designed specifically for mobile platforms. It brings artificial intelligence right at your fingertips with no third-party dependencies, and speeds faster than all other known open source frameworks for mobile phone cpu. ncnn allows developers to easily deploy deep learning algorithm models to the mobile platform and create intelligent APPs. It is cross-platform and supports most commonly used CNN networks, including...
    Downloads: 32 This Week
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  • 8
    GraphQL Code Generator

    GraphQL Code Generator

    A tool for generating code based on a GraphQL schema and GraphQL ops

    ...Watch for changes in your GraphQL schema and operations, and automatically generate code as you go. Codegen easily integrates into your development workflow. One of the goals of GraphQL Codegen is to allow you to easily customize the output, and add custom behaviour according to your needs. You can generate your resolvers' signatures, dump schemas, model types, query builders, React Hooks, Angular Services, and much more! By analyzing the schema and documents and parsing it, GraphQL Code Generator can output code at a wide variety of formats, based on pre-defined templates or based on custom user-defined ones. ...
    Downloads: 0 This Week
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  • 9
    Open-AutoGLM

    Open-AutoGLM

    An open phone agent model & framework

    Open-AutoGLM is an open-source framework and model designed to empower autonomous mobile intelligent assistants by enabling AI agents to understand and interact with phone screens in a multimodal manner, blending vision and language capability to control real devices. It aims to create an “AI phone agent” that can perceive on-screen content, reason about user goals, and execute sequences of taps, swipes, and text input via automated device control interfaces like ADB, enabling hands-off completion of multi-step tasks such as navigating apps, filling forms, and more. ...
    Downloads: 3 This Week
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  • 10
    Protenix

    Protenix

    A trainable PyTorch reproduction of AlphaFold 3

    Protenix is an open-source, trainable PyTorch reimplementation of AlphaFold 3, developed by ByteDance with the goal of democratizing high-accuracy protein structure prediction for computational biology and drug-discovery research. Protenix provides a complete pipeline for turning protein sequences (with optional MSA / sequence alignment) or structural inputs (e.g. PDB/CIF) into full 3D atomic-level structure predictions. It supports both “full” models and lightweight variants such as...
    Downloads: 0 This Week
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  • 11
    Cerberus Content Management System 6

    Cerberus Content Management System 6

    Cerberus Content Management System

    Cerberus Content Management System is a dynamic, secure and infinitely expandable CMS designed after a Unix-Like model complete with a Unix-Like Kernel File named: Cerberus. It is a custom written Web Application Framework ( W.A.F. ) with a consistent and custom written Pre-Hyper-Text-Post-Processor Programming Code Framework ( P.C.F. ). This Web Application Software Project' aim is to be the fastest and most secure Web Application Framework, Web Application Programming Code Framework, Text,...
    Downloads: 4 This Week
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  • 12
    CerberusCMS5

    CerberusCMS5

    Cerberus Content Management System

    Cerberus Content Management System is a dynamic, secure and infinitely expandable CMS designed after a Unix-Like model. It is a custom written Web Application Framework ( W.A.F. ) with a consistent and custom written Pre-Hyper-Text-Post-Processor Programming Code Framework ( P.C.F. ). This Web Application Software Project' aim is to be the fastest and most secure Web Application Framework, Web Application Programming Code Framework, Text, Voice and Video Communications Platform and Content...
    Downloads: 0 This Week
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  • 13
    cerberuscms2

    cerberuscms2

    Cerberus Content Management System

    Cerberus Content Management System is a dynamic, secure and infinitely expandable CMS designed after a Unix-Like model. It is a custom written Web Application Framework ( W.A.F. ) with a consistent and custom written Pre-Hyper-Text-Post-Processor Programming Code Framework ( P.C.F. ). This Web Application Software Project' aim is to be the fastest and most secure Web Application Framework, Web Application Programming Code Framework, Text, Voice and Video Communications Platform and Content...
    Downloads: 1 This Week
    Last Update:
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  • 14
    SuperImage

    SuperImage

    Sharpen your low-resolution pictures with the power of AI upscaling

    ...By leveraging the power of your device's GPU, SuperImage is able to upscale and restore the details of your images without uploading them to the internet, keeping your data secure. SuperImage is a neural network-based image upscaling application for Android built with the MNN deep learning framework and Real-ESRGAN. The input image is processed in tiles on the device GPU, using a pre-trained Real-ESRGAN model. The tiles are then merged into the final high-resolution image. This application requires Vulkan or OpenCL support and Android 7 or above.
    Downloads: 22 This Week
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  • 15
    Draft.js

    Draft.js

    React framework for building text editors

    ...Draft.js fits seamlessly into React applications, abstracting away the details of rendering, selection, and input behavior with a familiar declarative API. The Draft.js model is built with immutable-js, offering an API with functional state updates and aggressively leveraging data persistence for scalable memory usage.
    Downloads: 0 This Week
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  • 16
    Reducer Calc

    Reducer Calc

    Program to calculate a frustrum

    This program calculates the two needed radii and the needed angle, which are needed, for building a frustrum. Input values are the two diameters and the height or side length of the frustrum. It is also possible to print the calculated model. At the moment the program is only developed for mac. Versions for the Iphone and the Windows should come in the future ..
    Downloads: 0 This Week
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  • 17
    SDK Manager Plugin

    SDK Manager Plugin

    Gradle plugin which downloads and manages your Android SDK

    The sdk-manager-plugin is a now‑deprecated Gradle plugin (by Jake Wharton) that automatically downloads and manages Android SDK components during Gradle builds. It was designed to reduce SDK installation friction but is obsolete due to built-in capabilities in newer Android Gradle Plugin versions. Your output likely will be different depending on the varying factors listed above. Subsequent runs will omit this output and proceed directly to normal execution. It currently takes about 100ms on average to check all of the above conditions. This cost is only paid when Gradle is setting up the model for the project. If you use the Gradle daemon or use Android Studio this only happens once.
    Downloads: 0 This Week
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  • 18
    Fast Fuzzy Inference System
    ...The main idea behind this tool, is to provide case-special techniques rather than general solutions to resolve complicated mathematical calculations. This will lead to have more efficient defuzzification algorithms for Mamdani's model. Most systems in Mamdani's model can be defuzzified in O(n²) or even O(n) time which n is number of membership functions in output.
    Downloads: 0 This Week
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