Search Results for "model"
Sort By:
Showing 7422 open source projects for "model"
View related business solutions-
Try Google Cloud Risk-Free With $300 in CreditUse your credit across every product. Compute, storage, AI, analytics. When it runs out, 20+ products stay free. You only pay when you choose to.
-
Build Securely on AWS with Proven FrameworksMoving to the cloud brings new challenges. How can you manage a larger attack surface while ensuring great network performance? Turn to Fortinet’s Tested Reference Architectures, blueprints for designing and securing cloud environments built by cybersecurity experts. Learn more and explore use cases in this white paper.
-
1
model-viewer
Easily display interactive 3D models on the web and in AR
...:focus-visible is an as-yet unimplemented web platform feature that enables content authors to style a component on the condition that it received focus in such a way that suggests the focus state should be visibly evident. The :focus-visible capability has not been implemented in any stable browsers yet. If the polyfill is available on the page, <model-viewer> will use it and only display focus rings when :focus-visible should apply. -
2
Model Zoo
Please do not feed the models
FluxML Model Zoo is a collection of demonstration models built with the Flux machine learning library in Julia. The repository provides ready-to-run implementations across multiple domains, including computer vision, natural language processing, and reinforcement learning. Each model is organized into its own project folder with pinned package versions, ensuring reproducibility and stability. -
3
Model Explorer
A modern model graph visualizer and debugger
Model Explorer is a visual tool for exploring, debugging, and optimizing ML models deployed on edge devices. Developed by Google AI Edge, it offers a browser-based interface to inspect layer-wise performance, memory usage, and inference timing of TensorFlow Lite and other supported models. It’s a powerful utility for developers optimizing models for constrained environments. -
4
NVIDIA Model Optimizer
A unified library of SOTA model optimization techniques
...The library is designed to reduce model size and computational requirements while maintaining accuracy, making it particularly valuable for deploying large models in production environments. It supports a wide range of model types, including large language models, diffusion models, and vision-language models, and integrates with deployment frameworks such as TensorRT and vLLM. -
Train ML Models With SQL You Already KnowBuild and deploy ML models using familiar SQL. Automate data prep with built-in Gemini. Query 1 TB and store 10 GB free monthly.
-
5
OpenVINO Model Server
A scalable inference server for models optimized with OpenVINO
...The system supports a wide range of model sources, letting you host models from local storage, remote object storage, or even pull from model hubs. -
6
Open Model Zoo
Pre-trained Deep Learning models and demos
...In addition to model files, Open Model Zoo provides demo applications that show realistic usage patterns and help developers quickly prototype and understand inference pipelines in C++, Python, or via the OpenCV Graph API. Tools in the repository also help automate model downloads and other tasks, making it easier to incorporate these models into production systems or custom solutions. -
7
Laravel Model Settings
Model Settings for your Laravel app
The package requires PHP 8.1+ and follows the FIG standards PSR-1, PSR-2, PSR-4 and PSR-12 to ensure a high level of interoperability between shared PHP. -
8
Laravel Model States
State support for models
...It combines concepts from the state pattern and state machines. It is recommended that you're familiar with both patterns if you're going to use this package. Imagine a model Payment, which has three possible states: Pending, Paid, and Failed. This package allows you to represent each state as a separate class, handles serialization of states to the database behind the scenes, and allows for easy and controller state transitions. -
9
Large Concept Model
Language modeling in a sentence representation space
Large Concept Model is a research codebase centered on concept-centric representation learning at scale, aiming to capture shared structure across many categories and modalities. It organizes training around concepts (rather than just raw labels), encouraging models to understand attributes, relations, and compositional structure that transfer across tasks. -
Build Securely on Azure with Proven FrameworksMoving to the cloud brings new challenges. How can you manage a larger attack surface while ensuring great network performance? Turn to Fortinet’s Tested Reference Architectures, blueprints for designing and securing cloud environments built by cybersecurity experts. Learn more and explore use cases in this white paper.
-
10
Clay Foundation Model
The Clay Foundation Model - An open source AI model and interface
The Clay Foundation Model is an open-source AI model and interface designed to provide comprehensive data and insights about Earth. It aims to serve as a foundational tool for environmental monitoring, research, and decision-making by integrating various data sources and offering an accessible platform for analysis. -
11
Laravel Model Status
Easily add statuses to your models
Imagine you want to have an Eloquent model hold a status. It's easily solved by just adding a status field to that model and be done with it. But in case you need a history of status changes or need to store some extra info on why a status changed, just adding a single field won't cut it. -
12
Model Caching for Laravel
Eloquent model-caching made easy.
...I created this package in response to a client project that had complex, nested forms with many <select>'s that resulted in over 700 database queries on one page. I needed a package that abstracted the caching process out of the model for me and one that would let me cache custom queries, as well as cache model relationships. This package is an attempt to address those requirements. For best performance, a taggable cache provider is recommended (redis, memcached). While this is optional, using a non-taggable cache provider will mean that the entire cache is cleared each time a model is created, saved, updated, or deleted. ... -
13
TensorFlow Model Garden
Models and examples built with TensorFlow
The TensorFlow Model Garden is a repository with a number of different implementations of state-of-the-art (SOTA) models and modeling solutions for TensorFlow users. We aim to demonstrate the best practices for modeling so that TensorFlow users can take full advantage of TensorFlow for their research and product development. To improve the transparency and reproducibility of our models, training logs on TensorBoard.dev are also provided for models to the extent possible though not all models are suitable. ... -
14
Pipeline Model Definition Plugin
Dfine CI/CD workflows using Jenkinsfile
The Pipeline Model Definition Plugin introduces Declarative Pipelines in Jenkins—offering a more structured, configuration-like syntax for defining CI/CD workflows using Jenkinsfile. It simplifies pipeline creation, gives clearer semantic error messages, supports post-build steps, and is fully extensible via APIs. -
15
All-in-One Model Context Protocol
All-in-one MCP server with AI search, RAG
The All-in-One Model Context Protocol Server is a comprehensive MCP server implementation integrating services like GitLab, Jira, Confluence, YouTube, and more. It provides AI-powered search capabilities and utility tools to enhance development workflows. -
16
VMZ (Video Model Zoo)
VMZ: Model Zoo for Video Modeling
...It also integrates Gradient Blending, an audio-visual modeling method that fuses modalities effectively (available in the Caffe2 implementation). Although VMZ is now archived and no longer actively maintained, it remains a valuable reference for understanding early large-scale video model training, transfer learning, and multimodal integration strategies that influenced modern architectures like SlowFast and X3D. -
17
Code World Model (CWM)
Research code artifacts for Code World Model (CWM)
CWM (Code World Model) is a 32-billion-parameter open-weights language model. It is developed by Meta for enhancing code generation and reasoning about programs. It is explicitly trained on execution traces, action-observation trajectories, and agentic interactions in controlled environments. It has been developed to better capture how code, actions, and state interact over time. -
18
Denoising Diffusion Probabilistic Model
Implementation of Denoising Diffusion Probabilistic Model in Pytorch
Implementation of Denoising Diffusion Probabilistic Model in Pytorch. It is a new approach to generative modeling that may have the potential to rival GANs. It uses denoising score matching to estimate the gradient of the data distribution, followed by Langevin sampling to sample from the true distribution. If you simply want to pass in a folder name and the desired image dimensions, you can use the Trainer class to easily train a model. -
19
Reliese Laravel Model Generator
Reliese Laravel Model Generator
...It is recommended that this package should only be used on a local environment for security reasons. You may want to generate your models as often as you change your database. In order not to lose your own model changes, you should set base_files to true in your config/models.php. -
20
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... -
21
AWS Serverless Application Model
An open-source framework for building serverless applications
The AWS Serverless Application Model (SAM) is an open-source framework for building serverless applications. It provides shorthand syntax to express functions, APIs, databases, and event source mappings. With just a few lines per resource, you can define the application you want and model it using YAML. During deployment, SAM transforms and expands the SAM syntax into AWS CloudFormation syntax, enabling you to build serverless applications faster. -
22
Model Context Protocol Python SDK
The official Python SDK for Model Context Protocol servers and clients
The Python SDK for Model Context Protocol provides utilities to interact with the protocol, enabling seamless communication with AI models. -
23
Model Context Protocol TypeScript SDK
The official Typescript SDK for Model Context Protocol servers
The TypeScript SDK for Model Context Protocol simplifies integration with the Model Context Protocol, enabling developers to interact with AI models effectively. -
24
AimAhead
The fastest AI powered Aimbot
AimAhead is an AI-powered aim assist tool designed for high-speed target acquisition. It captures the screen, processes the image through a selected AI model to detect enemies, and then aims towards them. Optimized for NVIDIA graphics cards, AimAhead converts ONNX models to TensorRT engine files for enhanced performance, achieving between 100 to 200 cycles per second depending on the model used. -
25
Netron
Visualizer for neural network, deep learning, machine learning models
...Netron has experimental support for TensorFlow, PyTorch, TorchScript, OpenVINO, Torch, Arm NN, BigDL, Chainer, CNTK, Deeplearning4j, MediaPipe, ML.NET, scikit-learn, TensorFlow.js. There is an extense variety of sample model files to download or open using the browser version. It is supported by macOS, Windows, Linux, Python Server and browser.
