Search Results for "model-builder" - Page 18
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Showing 2013 open source projects for "model-builder"
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Metro 4
Impressive component library for expressive web development
Create your site quickly and effectively with Metro 4. Metro 4 is a free open-source impressive components library built on html, css, javascript. Using Metro 4 is very easy, you don't even need to know javascript to make fully functional websites that interact with the user. Metro 4 is an open source project. You can access to full source code on the GitHub and get Metro 4 with free license. Metro 4 is accessible in various ways. You can get Metro 4 from NPM, Nuget, GitHub, and GitLab.... -
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Chili3D
A browser-based 3D CAD application for online model design
Chili3D is an open-source, browser-based 3D CAD application that enables users to design, edit, and visualize complex 3D models directly within a web environment without requiring local installation. It is built using TypeScript and leverages WebAssembly to compile the OpenCascade geometric modeling kernel, allowing it to achieve near-native performance inside the browser. The application integrates with modern rendering libraries to provide real-time visualization, interactive modeling, and... -
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LM Studio CLI (lms)
LM Studio CLI
...It also enables users to load, unload, and list models for efficient inferencing workflows. Designed for developers working with LLMs, lms simplifies project creation and model management through a powerful yet intuitive command-line experience. -
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GitButler
The GitButler version control client, backed by Git
...It keeps Git compatibility at the core, meaning your work still maps to commits, branches, and pushes to standard Git servers, but it rethinks how you interact with that underlying model. The project is designed around developer productivity, emphasizing smoother workflows for handling multiple streams of work, reviewing changes, and recovering from mistakes without the usual friction. It also positions itself for AI-assisted development patterns, where tooling needs to support rapid iteration and parallel work while staying understandable and reversible. ... -
Enterprise-grade ITSM, for every businessFreshservice is an intuitive, AI-powered platform that helps IT, operations, and business teams deliver exceptional service without the usual complexity. Automate repetitive tasks, resolve issues faster, and provide seamless support across the organization. From managing incidents and assets to driving smarter decisions, Freshservice makes it easy to stay efficient and scale with confidence.
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Mangle
Go library for Datalog-style logical reasoning and domain modeling
Mangle is a programming language developed by Google for deductive database programming, serving as an advanced extension of Datalog. It is designed to unify and query data from multiple sources in a structured, declarative way while allowing developers to model complex relationships and domain knowledge beyond binary predicates. Mangle enhances traditional Datalog by introducing features such as aggregation, function calls, and optional type-checking, which make it more practical for modern data-intensive applications. Unlike SQL, Mangle’s declarative syntax naturally supports recursion and modular program structure, making it suitable for representing hierarchical or interconnected datasets like dependency graphs or knowledge graphs. ... -
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RLax
Library of JAX-based building blocks for reinforcement learning agents
...Rather than implementing full algorithms, RLax focuses on the core functional operations that underpin RL methods—such as computing value functions, returns, policy gradients, and loss terms—allowing researchers to flexibly assemble their own agents. It supports both on-policy and off-policy learning, as well as value-based, policy-based, and model-based approaches. RLax is fully JIT-compilable with JAX, enabling high-performance execution across CPU, GPU, and TPU backends. The library implements tools for Bellman equations, return distributions, general value functions, and policy optimization in both continuous and discrete action spaces. It integrates seamlessly with DeepMind’s Haiku (for neural network definition) and Optax (for optimization), making it a key component in modular RL pipelines. -
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DomainBed
DomainBed is a suite to test domain generalization algorithms
DomainBed is a PyTorch-based research suite created by Facebook Research for benchmarking and evaluating domain generalization algorithms. It provides a unified framework for comparing methods that aim to train models capable of performing well across unseen domains, as introduced in the paper In Search of Lost Domain Generalization. The library includes a wide range of well-known domain generalization algorithms, from classical baselines such as Empirical Risk Minimization (ERM) and... -
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Kubernetes Gateway API
Repository for the next iteration of composite service
Gateway API is an official Kubernetes project focused on L4 and L7 routing in Kubernetes. This project represents the next generation of Kubernetes Ingress, Load Balancing, and Service Mesh APIs. From the outset, it has been designed to be generic, expressive, and role-oriented. Most of the configuration in this API is contained in the Routing layer. These protocol-specific resources (HTTPRoute, GRPCRoute, etc) enable advanced routing capabilities for both Ingress and Mesh. When using... -
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StructuralEquationModels.jl
A fast and flexible Structural Equation Modelling Framework
This is a package for Structural Equation Modeling in development. It is written for extensibility, that is, you can easily define your own objective functions and other parts of the model. At the same time, it is (very) fast. We provide fast objective functions, gradients, and for some cases hessians as well as approximations thereof. As a user, you can easily define custom loss functions. For those, you can decide to provide analytical gradients or use finite difference approximation / automatic differentiation. ... -
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Event Horizon
Event Sourcing for Go!
...ES stands for Event Sourcing and is a technique where all events that have happened in a system are recorded, and all future actions are based on the events instead of a single data model. The main benefit of adding Event Sourcing is traceability of changes which can be used for example in audit logging. Additionally, "incorrect" events that happened in the past (for example due to a bug) can be compensated for with an event that will make the current data "correct", as that is based on the events. -
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qwik
The HTML-first framework. Instant apps of any size with
Qwik does not do hydration because it is resumable. Hydration can take several seconds, depending on the complexity of your application and mobile device speed. Qwik applications are instantly interactive even on slow mobile devices leading to a perfect Google PageSpeed score. Qwik apps begin their life as SSR/SSG. Qwik serializes the application's state and framework state into HTML upon rendering the application. Then Qwik can resume execution where the server left off in the browser... -
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ObjectBox
Flutter database for super-fast Dart object persistence
ObjectBox Flutter database is a great option for storing Dart objects in your cross-platform apps. Minimal CPU, memory and battery use make it an ideal choice for mobile and IoT devices. Made for efficient data access, the ObjectBox Flutter database is 10x faster than any alternative. See the performance benchmarks below. No need to learn SQL, as our NoSQL database uses a pure Dart API that is easy to work with and can be integrated in minutes. Plus: We built a data synchronization solution... -
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The Optimism Monorepo
Optimism is Ethereum, scaled
Optimism is a low-cost and lightning-fast Ethereum L2 blockchain, but it's also so much more than that. Optimism is the technical foundation for the Optimism Collective, a band of communities, companies, and citizens united by a mutually beneficial pact to adhere to the axiom of impact=profit — the principle that positive impact to the collective should be rewarded with profit to the individual. We're trying to solve some of the most critical coordination failures facing the crypto ecosystem... -
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Bot Framework Web Chat
A highly-customizable web-based client for Azure Bot Services
This repository contains code for the Bot Framework Web Chat component. The Bot Framework Web Chat component is a highly-customizable web-based client for the Bot Framework V4 SDK. The Bot Framework SDK v4 enables developers to model conversation and build sophisticated bot applications. This repo is part of the Microsoft Bot Framework, a comprehensive framework for building enterprise-grade conversational AI experiences. Create a bot with the ability to speak, listen, understand, and learn from your users with Azure Cognitive Services. Benefit from open source SDK and tools to build, test, and connect bots that interact naturally with users, wherever they are. ... -
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Doodle
A pure Kotlin UI framework for the Web and Desktop
Doodle helps you create beautiful, modern apps entirely in Kotlin. Its render model is intuitive yet powerful, making it easy to achieve complex UIs with pixel-level precision and layouts. This simplicity and power apply to everything from user input to drag and drop. Doodle lets you build and animate anything. Start creating your app for the Web and Desktop; just define your View hierarchy and business logic, and go. -
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Kweb
A Kotlin web framework
...By streamlining the development process, Kweb makes it easier to build functional and beautiful websites that meet the needs of your users. Kweb is a remote interface for a web browser's DOM (Document Object Model). With Kweb, you can create and manipulate DOM elements, and listen for and handle events, all using an intuitive Kotlin DSL that mirrors the structure of the HTML being created. Kweb is built on the Ktor framework, which handles HTTP, HTTPS, and WebSocket transport, and is optimized to minimize latency and resource usage on both the server and browser. -
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ASP.NET Minimal APIs Made Easy
A light-weight REST API development framework for ASP.Net 6
...Supports any IOC container compatible with ASP.NET. Convenient integration testing (route-less & strongly-typed). Constructor & property injection of endpoint dependencies. Built-in uncaught exception handler. Easy model binding from route/query/json body/claims/forms/headers. Supports swagger/serilog/etc. -
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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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LLM Tornado
The .NET library to build AI agents with 30+ built-in connectors
...It supports multimodal inputs and outputs, including text, images, audio, and documents, making it suitable for a wide range of AI applications. LLMTornado also integrates advanced protocols such as Model Context Protocol and agent-to-agent communication, enabling complex interactions between systems. With built-in support for local deployments, enterprise guardrails, and observability features. -
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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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Functions Framework for Node.js
FaaS (Function as a service) framework for writing portable Node.js
Functions Framework for Node.js is a lightweight runtime library that allows developers to write and run portable serverless functions locally or in cloud environments using standard Node.js. It provides a consistent execution model that mimics Google Cloud Functions, enabling developers to build, test, and debug functions on their local machine before deploying them to production. The framework supports multiple function signature types, including HTTP-based functions and event-driven functions, and automatically parses incoming request payloads into structured objects that can be easily consumed by application logic. ... -
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Superduper
Superduper: Integrate AI models and machine learning workflows
...Developers may leverage Superduper by building compositional and declarative objects that out-source the details of deployment, orchestration versioning, and more to the Superduper engine. This allows developers to completely avoid implementing MLOps, ETL pipelines, model deployment, data migration, and synchronization. Using Superduper is simply "CAPE": Connect to your data, apply arbitrary AI to that data, package and reuse the application on arbitrary data, and execute AI-database queries and predictions on the resulting AI outputs and data. -
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SOFA
The best way to create REST APIs
...For example, when fetching a list of chats you don't want to include all messages in the response, you want them to be just IDs (or links). Those messages would have to have their own endpoint. We call this type of data, a Model. In REST you probably call them Resources. -
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Gorse Recommender System Engine
An open source recommender system service written in Go
An open-source recommender system service written in Go. Recommend items from Popular, latest, user-based, item-based and collaborative filtering. Search the best recommendation model automatically in the background. Support horizontal scaling in the recommendation stage after single node training. Support Redis, MySQL, Postgres, MongoDB, and ClickHouse as its storage backend. Expose RESTful APIs for data CRUD and recommendation requests. Analyze online recommendation performance from recently inserted feedback. ... -
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django-rest-framework-gis
Geographic add-ons for Django REST Framework
...While precision and remove_duplicates are designed to reduce the byte size of the API response, they will also increase the processing time required to render the response. This will likely be negligible for small GeoJSON responses but may become an issue for large responses. The primary key of the model (usually the "id" attribute) is automatically used as the id field of each GeoJSON Feature Object. The GeoJSON specification allows a feature to contain a boundingbox of a feature. GeoFeatureModelSerializer allows two different ways to fill this property. The first is using the geo_field to calculate the bounding box of a feature.
