Search Results for "model-builder"
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Showing 199 open source projects for "model-builder"
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MongoDB Atlas runs apps anywhereMongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
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Compliant and Reliable File Transfers Backed by Top Security CertificationsStop relying on non-certified, legacy file transfer tools that creak under the weight of modern security demands. Get full audit trails, advanced access controls and more supported by an award-winning team of experts. Start your free 25-day trial today.
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Android 3D Model Viewer
Android OpenGL 2.0 application to view 3D models
This is a demo of OpenGL ES 2.0. It is basically an Android application with a 3D engine that can load Wavefront OBJ, STL & DAE files. The purpose of this application is to learn and share how to draw using OpenGL language. The application does not use any third-party library. Load 3D models and see how to do it with this open-source code application. The main purpose of this app is to show how to draw in Android using the OpenGL 2.0 by sharing the source code. So please, don't expect this... -
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whisper.cpp
Port of OpenAI's Whisper model in C/C++
whisper.cpp is a lightweight, C/C++ reimplementation of OpenAI’s Whisper automatic speech recognition (ASR) model—designed for efficient, standalone transcription without external dependencies. The entire high-level implementation of the model is contained in whisper.h and whisper.cpp. The rest of the code is part of the ggml machine learning library. The command downloads the base.en model converted to custom ggml format and runs the inference on all .wav samples in the folder samples. whisper.cpp supports integer quantization of the Whisper ggml models. ... -
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DeepSeek R1
Open-source, high-performance AI model with advanced reasoning
DeepSeek-R1 is an open-source large language model developed by DeepSeek, designed to excel in complex reasoning tasks across domains such as mathematics, coding, and language. DeepSeek R1 offers unrestricted access for both commercial and academic use. The model employs a Mixture of Experts (MoE) architecture, comprising 671 billion total parameters with 37 billion active parameters per token, and supports a context length of up to 128,000 tokens. -
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Google AI Edge Gallery
A gallery that showcases on-device ML/GenAI use cases
...Each sample is intended to be both a learning aid and a practical starting point: code is organized to show model loading, pre/post-processing, performance measurement, and common optimization knobs (quantization, NNAPI/Delegate usage, and hardware accelerators). The repo also collects small, well-documented models and conversion scripts so developers can reproduce a pipeline from a full-size model down to a device-friendly artifact. -
Build Agents and Models on One PlatformGemini Enterprise Agent Platform is Google Cloud's comprehensive platform for developers to build, scale, govern, and optimize agents and models. Choose from Google's most advanced models and third-party models like Anthropic's Claude Model Family.
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DeepSeek-V3
Powerful AI language model (MoE) optimized for efficiency/performance
DeepSeek-V3 is a robust Mixture-of-Experts (MoE) language model developed by DeepSeek, featuring a total of 671 billion parameters, with 37 billion activated per token. It employs Multi-head Latent Attention (MLA) and the DeepSeekMoE architecture to enhance computational efficiency. The model introduces an auxiliary-loss-free load balancing strategy and a multi-token prediction training objective to boost performance. -
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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. -
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Kitten TTS
State-of-the-art TTS model under 25MB
KittenTTS is an open-source, ultra-lightweight, and high-quality text-to-speech model featuring just 15 million parameters and a binary size under 25 MB. It is designed for real-time CPU-based deployment across diverse platforms. Ultra-lightweight, model size less than 25MB. CPU-optimized, runs without GPU on any device. High-quality voices, several premium voice options available. Fast inference, optimized for real-time speech synthesis. -
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Telegram MCP
MCP server to work with Telegram through MTProto
An MCP server that bridges the Telegram API and AI assistants, enabling seamless interaction between AI applications and Telegram through MTProto. -
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Gradle
Adaptable, fast automation for all
Gradle is a build tool with a focus on build automation and support for multi-language development. If you are building, testing, publishing, and deploying software on any platform, Gradle offers a flexible model that can support the entire development lifecycle from compiling and packaging code to publishing web sites. Gradle has been designed to support build automation across multiple languages and platforms including Java, Scala, Android, Kotlin, C/C++, and Groovy, and is closely integrated with development tools and continuous integration servers including Eclipse, IntelliJ, and Jenkins. ... -
Stop Cyber Threats with VM-Series Next-Gen Firewall on AzureGain integrated visibility across all traffic in a single pass. Deploy Palo Alto Networks VM-Series to determine application identity and content while automating security policy updates via rich APIs.
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MediaPipe
Cross-platform, customizable ML solutions for live and streaming media
...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. For example, it can form the basis for yoga, dance, and fitness applications. ... -
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NextDNS
NextDNS CLI client (DoH Proxy)
NextDNS protects you from all kinds of security threats, blocks ads and trackers on websites and in apps and provides a safe and supervised Internet for kids, on all devices and on all networks. Determine your threat model and fine-tune your security strategy by enabling 10+ different types of protections. Use the most trusted threat intelligence feeds containing millions of malicious domains, all updated in real-time. Go beyond the domain, we analyze DNS questions and answers on-the-fly (in a matter of nanoseconds) in order to detect and block malicious behavior. ... -
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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... -
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exo
Run your own AI cluster at home with everyday devices
Run your own AI cluster at home with everyday devices. Maintained by exo labs. Forget expensive NVIDIA GPUs, unify your existing devices into one powerful GPU, iPhone, iPad, Android, Mac, Linux, or pretty much any device. Now the default models, run 8B, 70B, and 405B parameter models on your own devices. -
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Open Asset Import Library
The open-asset-importer-library repository
The Open Asset Import Library (short name: Assimp) is a portable Open-Source library to import various well-known 3D model formats in a uniform manner. The most recent version also knows how to export 3d files and is therefore suitable as a general-purpose 3D model converter. See the feature-list. open3mod is a Windows-based model viewer. It loads all file formats that Assimp supports and is perfectly suited to quickly inspect 3d assets. Assimp aims to provide a full asset conversion pipeline for use in game engines / realtime rendering systems of any kind, but it is not limited to this purpose. ... -
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WordPress for Android
WordPress for Android
...And of course, they’re open source, just like WordPress. WordPress for Android lets you take the power to publish to the web with you. It is much more than a website builder. Give your great ideas a home on the web. WordPress for Android is a website and blog builder. Choose the perfect look from a wide selection of WordPress themes and customize it with photos, colors and fonts to make it unique. Built-in quick start tips will guide you through the basics of setting up your new website to take the internet by storm. -
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HP Socket
High Performance TCP/UDP/HTTP communication component
...Client Based on Event-Select/POLL communication model, each component object creates a communication thread and manages a Socket connection. Client components are suitable for small-scale client scenarios. -
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Ollama Server
No need for Termux, you can start the Ollama service
Ollama Server is a mobile-first solution that brings the full Ollama runtime experience to Android devices through a simplified, one-click deployment model. Instead of relying on terminal environments like Termux, it provides a native application that launches and manages an Ollama-compatible service directly on a phone or tablet. The system exposes the same API behavior as standard Ollama installations, meaning any compatible client or integration can interact with it without modification. ... -
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Mobile Next
Model Context Protocol Server for Mobile Automation and Scraping
Mobile Next is a Model Context Protocol server designed to enable scalable, AI-driven mobile automation across both iOS and Android environments through a unified interface. It abstracts away platform-specific complexities, allowing developers and AI agents to interact with mobile devices using a consistent set of commands regardless of operating system. -
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Forge: Magic: The Gathering Rules Engine
An unofficial rules engine for the world's greatest card game
Forge is a comprehensive open-source rules engine and gameplay platform designed to simulate and extend the card game Magic: The Gathering in a fully digital environment. Developed collaboratively by a community of contributors, it implements the vast majority of the game’s rules and card interactions, allowing players to experience both casual and competitive gameplay without official clients. The software supports multiple play modes, including single-player against AI opponents,... -
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Reins
Ollama client that simplifies experimenting with LLMs
...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. -
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ChatMCP
ChatMCP is an AI chat client implementing the Model Context Protocol
ChatMCP is a cross‑platform AI chat client that implements the Model Context Protocol (MCP) to provide unified chat experiences across environments—including desktop, mobile, and web—with synchronization and protocol support tailored for MCP. You can install MCP Server from MCP Server Market, MCP Server Market is a collection of MCP Server, you can use it to chat with different data. Tested on major distributions: Ubuntu, Fedora, Arch Linux, openSUSE. -
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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. ... -
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NetBird
Connect your devices into a secure WireGuard-based overlay network
NetBird is an open-source solution that builds a WireGuard®-based overlay network enabling seamless, encrypted peer-to-peer connectivity without the complexity of firewall rules, port forwarding, or centralized VPN gateways. It integrates access control features such as SSO and MFA for secure, policy-driven networking. Every machine in the network runs NetBird Agent (or Client) that manages WireGuard. Every agent connects to Management Service that holds network state, manages peer IPs, and... -
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Yuki Hook API
An efficient Hook API and Xposed Module solution built in Kotlin
An efficient Hook API and Xposed Module solution built in Kotlin. The automatic builder can help you quickly create an Xposed Module, automatic configure the entry class and xposed_init files. A powerful, elegant, beautiful API built with Kotlin lambda can help you quickly implement method Hook and more convenient functions. A rich debug log function, detailing the name of each hooked method, time-consuming to find the class can quickly debug and find errors. -
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KMM ViewModel
Library to share Kotlin ViewModels with SwiftUI
A library that allows you to share ViewModels between Android and iOS. The latest version of the library uses Kotlin version 1.9.22. Compatibility versions for older and/or preview Kotlin versions are also available. When subclassing your Kotlin ViewModel in Swift you might experience some issues in the way those ViewModels are cleared. Since currentTimeFlow is a StateFlow we don't ever expect it to fail, which is why we are using the assertNoFailure. However, in this case you'll notice that...
