Search Results for "model-builder" - Page 6
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Showing 2464 open source projects for "model-builder"
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DeepEP
DeepEP: an efficient expert-parallel communication library
...Because MoE architectures require routing inputs to different experts, communication overhead can become a bottleneck — DeepEP addresses that by providing optimized GPU kernels and efficient dispatch/combining logic. The library also supports low-precision operations (such as FP8) to reduce memory and bandwidth usage during communication. DeepEP is aimed at large-scale model inference or training systems where expert parallelism is used to scale model capacity without replicating entire networks. -
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ToolJet
Extensible low-code framework for building business applications
Extensible low-code framework for building business applications. Connect to databases, cloud storages, GraphQL, API endpoints, Airtable, etc and build apps using drag and drop application builder. Built using JavaScript/TypeScript. Everything you need to build internal tools. Open-source low-code application development platform for building and deploying business applications. Build complicated frontends without any experience in React, CSS or event HTML. Drag and drop 35+ in-built UI components to build even complicated frontends. ... -
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DeepCTR-Torch
Easy-to-use,Modular and Extendible package of deep-learning models
DeepCTR-Torch is an easy-to-use, Modular and Extendible package of deep-learning-based CTR models along with lots of core components layers that can be used to build your own custom model easily.It is compatible with PyTorch.You can use any complex model with model.fit() and model.predict(). With the great success of deep learning, DNN-based techniques have been widely used in CTR estimation tasks. The data in the CTR estimation task usually includes high sparse,high cardinality categorical features and some dense numerical features. ... -
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PyMC3
Probabilistic programming in Python
PyMC3 allows you to write down models using an intuitive syntax to describe a data generating process. Fit your model using gradient-based MCMC algorithms like NUTS, using ADVI for fast approximate inference — including minibatch-ADVI for scaling to large datasets, or using Gaussian processes to build Bayesian nonparametric models. PyMC3 includes a comprehensive set of pre-defined statistical distributions that can be used as model building blocks. -
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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macos_ui
Flutter widgets and themes implementing the current macOS design lang
...It supports a Sidebar on the left, an optional TitleBar at the top, and the rest of the window is typically filled out with a MacosScaffold. A scope for the MacosWindow is provided by MacosWindowScope. Please note that you must wrap your MacosScaffold in a Builder widget in order for this to work properly. A sidebar enables app navigation and provides quick access to top-level collections of content in your app. Sidebars may be placed at the left or right of your app. To place a sidebar on the left, use the MacosWindow.sidebar property. To place a sidebar on the right, use the MacosWindow.endSidebar property. -
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MLJ
A Julia machine learning framework
MLJ (Machine Learning in Julia) is a toolbox written in Julia providing a common interface and meta-algorithms for selecting, tuning, evaluating, composing and comparing about 200 machine learning models written in Julia and other languages. The functionality of MLJ is distributed over several repositories illustrated in the dependency chart below. These repositories live at the JuliaAI umbrella organization. -
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Orleans
Orleans is a cross-platform framework for building distributed apps
...As such, it helps developers experienced with single-server applications transition to building resilient, scalable cloud services and other distributed applications. For this reason, Orleans has often been referred to as "Distributed .NET". It was created by Microsoft Research and introduced the Virtual Actor Model as a novel approach to building a new generation of distributed systems for the Cloud era. The core contribution of Orleans is its programming model which tames the complexity inherent to highly-parallel distributed systems without restricting capabilities or imposing onerous constraints. -
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Corcel
Use WordPress backend with Laravel or any PHP application
A collection of Model classes that allows you to get data directly from a WordPress database. Corcel is a collection of PHP classes built on top of Eloquent ORM (from Laravel framework), that provides a fluent interface to connect and get data directly from a WordPress database. You can use WordPress as the backend (administration panel) or CMS, for inserting posts, custom types, etc, and any other PHP app in the other side querying those data (as a Model layer). -
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FlowLens MCP
Open-source MCP server that gives your coding agent
...It works together with a companion browser extension: when a user reproduces a bug or a complicated UI interaction, the extension captures a rich session log, including screen/video recording, network traffic, console logs, DOM events, storage changes, and more, and exports it. The MCP server then loads this captured “flow” and exposes it to the AI agent via the Model Context Protocol (MCP), letting the agent examine, search, filter, and reason about the session just as a human developer would, without needing the agent to re-run the flow or rely on minimal reproduction data (logs, screenshots). -
Ship Agents FasterGemini Enterprise Agent Platform lets you rapidly build, scale, govern and optimize production-ready agents grounded in your organization's data. The platform enables developers to build custom or pre-built agents for virtually any use case. New customers get $300 in free credits.
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SurveyJS
JavaScript Survey and Form Library
...To communicate with the server, the libraries use JSON objects that represent form schemas (content and layout of a form) and form results (answers). You have the option to build dynamic JSON-driven forms using our free full-featured form builder demo available on the website. Alternatively, you can integrate the form builder library and create forms using a drag-and-drop UI directly within your own application. With years of development and support behind us, we've assisted hundreds of companies across various industries. With Survey, you can create nearly anything that popular cloud services offer. ... -
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VGGT-Ω
[CVPR 2026 Oral] VGGT Omega
...The project is associated with 3D understanding workflows where models infer scene geometry without a traditional multi-stage reconstruction pipeline. It includes pretrained model variants with different resolutions and text-alignment capabilities, though checkpoint access may require approval. The repository also provides a Gradio demo that can visualize predicted cameras and depth-unprojected point clouds as a GLB scene. VGGT-Omega is best suited for researchers and developers working on 3D reconstruction, visual geometry, and image-based scene understanding. -
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go-app
A package to build progressive web apps with Go programming
Go-app is a package for building progressive web apps (PWA) with the Go programming language (Golang) and WebAssembly (Wasm). Shaping a UI is done by using a declarative syntax that creates and composes HTML elements only by using the Go programing language. Served with Go standard HTTP model, apps created with go-app are SEO friendly, installable, and support offline mode. Go-app uses a declarative syntax so you can write reusable component-based UI elements just by using the Go programming language. Serving an app built with go-app is done by using the Go standard HTTP model. -
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Open LLMs
A list of open LLMs available for commercial use
...For teams or developers interested in experimenting with LLMs but wanting to avoid vendor lock-in or licensing constraints, open-llms offers a practical starting point. It aggregates metadata, licensing info, and often pointers to the model weights or model cards — helping users quickly compare models by size, license, domain, and capabilities. By compiling this in one place, open-llms reduces friction in exploring the LLM space, making it easier to try different models, benchmark them, or build custom applications. -
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django-organizations
Multi-user accounts for Django projects
...Use Django Organizations whether your site needs organizations that function like social groups or multi-user account objects to provide account and subscription functionality beyond the individual user. Works with your existing user model, whether django.contrib.auth or a custom model. No additional user or authentication functionality is required. Users can belong to and own more than one organization (account, group) Invitation and registration functionality works out of the box for many situations and can be extended as needed to fit specific requirements. Start with the base models or use your own for greater customization. ... -
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Axon
Nx-powered Neural Networks
Nx-powered Neural Networks for Elixir. Axon consists of the following components. Functional API – A low-level API of numerical definitions (defn) of which all other APIs build on. Model Creation API – A high-level model creation API which manages model initialization and application. Optimization API – An API for creating and using first-order optimization techniques based on the Optax library. Training API – An API for quickly training models, inspired by PyTorch Ignite. Axon provides abstractions that enable easy integration while maintaining a level of separation between each component. ... -
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SageMaker Hugging Face Inference Toolkit
Library for serving Transformers models on Amazon SageMaker
...This library provides default pre-processing, predict and postprocessing for certain Transformers models and tasks. It utilizes the SageMaker Inference Toolkit for starting up the model server, which is responsible for handling inference requests. For the Dockerfiles used for building SageMaker Hugging Face Containers, see AWS Deep Learning Containers. The SageMaker Hugging Face Inference Toolkit implements various additional environment variables to simplify your deployment experience. The Hugging Face Inference Toolkit allows user to override the default methods of the HuggingFaceHandlerService. ... -
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wasm-bindgen
Facilitating high-level interactions between Wasm modules and Js
...The tool automates the process of bridging differences between Rust’s type system and JavaScript’s dynamic environment, making cross-language integration significantly easier. One of its key design principles is efficiency, following a “pay only for what you use” model where only the required bindings are generated, minimizing unnecessary overhead. It also integrates into modern build pipelines through tools like wasm-pack. -
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Laravel Auditing
Record the change log from models in Laravel
This package will help you understand changes in your Eloquent models, by providing information about possible discrepancies and anomalies that could indicate business concerns or suspect activities. Laravel Auditing allows you to keep a history of model changes by simply using a trait. Retrieving the audited data is straightforward, making it possible to display it in various ways. Auditing events provide a simple observer pattern implementation, allowing you to subscribe and listen to the audit events. Ability to use an Audit record to transition between the states of an Auditable model. -
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Ziggy
Use your Laravel routes in JavaScript
Ziggy provides a JavaScript route() function that works like Laravel's, making it a breeze to use your named Laravel routes in JavaScript. Ziggy supports Laravel's route-model binding, and can even recognize custom route key names. If you pass route() a JavaScript object as a route parameter, Ziggy will use the registered route-model binding keys for that route to find the correct parameter value inside the object. If no route-model binding keys are explicitly registered for a parameter, Ziggy will use the object's id key. -
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werf
The CLI tool gluing Git, Docker, Helm, and Kubernetes
...It literally "connects the dots" to bring these practices into your application. We consider it a new generation of high-level CI/CD tools. werf builds Docker images using Dockerfiles or an alternative fast built-in builder based on the custom syntax. It also deletes unused images from the Docker registry. werf deploys your application to Kubernetes using a chart in the Helm-compatible format with handy customizations and improved rollout tracking mechanism, error detection, and log output. -
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Piccolo
A fast, user friendly ORM and query builder which supports asyncio
Piccolo is a modern, fast, and type-safe ORM for Python, designed with developer ergonomics in mind. It provides a clean syntax for defining schemas and building queries while supporting both sync and async execution. With built-in admin tools and rich introspection, Piccolo is suitable for web apps, APIs, and small-to-medium scale backends that prioritize clarity and speed. -
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Llama Cloud Services
Knowledge Agents and Management in the Cloud
Llama Cloud Services is a suite of tools designed to facilitate the integration of large language models (LLMs) into applications. It offers components for parsing, extracting, and reporting on complex documents, streamlining the process of preparing data for LLM consumption. -
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L10n-swift
Localization of the application with ability to change language
L10n-swift is a simple framework that improves localization in swift app, providing cleaner syntax and in-app language switching. -
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Open Code Review
Open-source & free, battle-tested at Alibaba's scale
...It is designed to go beyond shallow diff feedback by letting the agent inspect full files, search the codebase, and use surrounding context. Developers can configure model endpoints, making it adaptable to different LLM providers and deployment needs. Its main value is bringing large-scale, agent-assisted review workflows into local and CI-based development environments. -
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react-native-fast-tflite
High-performance TensorFlow Lite library for React Native
...It is built with Nitro Modules and uses the low-level C and C++ TensorFlow Lite core API for direct memory access. The library supports zero-copy ArrayBuffers, which helps reduce overhead when passing model inputs and outputs through React Native. It can load and swap TensorFlow Lite models at runtime, making it useful for apps that run multiple machine learning tasks. The project supports GPU-accelerated delegates such as CoreML, Metal, and OpenGL. It is especially useful for mobile computer vision, on-device inference, and VisionCamera-based workflows that need fast local model execution.
