Search Results for "model-builder" - Page 5
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Showing 2117 open source projects for "model-builder"
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Stop Storing Third-Party Tokens in Your DatabaseRolling your own OAuth token storage can be a security liability. Token Vault securely stores access and refresh tokens from federated providers and handles exchange and renewal automatically. Connected accounts, refresh exchange, and privileged worker flows included.
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Lombok
New additions to the Java programming language
Project Lombok is a java library that automatically plugs into your editor and build tools, spicing up your java. Never write another getter or equals method again, with one annotation your class has a fully featured builder, Automate your logging variables, and much more. Project Lombok is available as a single jar file on the project site. It includes the APIs for development as an installer for IDE integration. On most systems, simply double-clicking the jar file will launch the installer. The installer will attempt to detect the location of a supported IDE. ... -
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The Lura Project framework
Ultra performant API Gateway with middlewares
...This is of course a good practice, but the UI consumers need to do implementations that suffer a lot of complexity and burden with the sizes of their microservices responses. Lura is an API Gateway builder and proxy generator that sits between the client and all the source servers, adding a new layer that removes all the complexity to the clients, providing them only the information that the UI needs. Lura acts as an aggregator of many sources into single endpoints and allows you to group, wrap, transform and shrink responses. Additionally it supports a myriad of middlewares and plugins that allow you to extend the functionality, such as adding Oauth authorization or security layers. -
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Chartbrew
Open-source web platform used to create live reporting dashboards
Chartbrew is an open-source web application that can connect directly to databases and APIs and use the data to create beautiful charts. It features a chart builder, editable dashboards, embeddable charts, query & requests editor, and team capabilities. It is recommended you head over to the more detailed documentation to find out how to set up Chartbrew. The CLI tool creates a chartbrew/.env file which you can configure at any time if you want to change the database, API & client host, etc. ... -
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bootstrap_form
Repository of the bootstrap_form gem
Official repository of the bootstrap_form gem, a Rails form builder that makes it super easy to create beautiful-looking forms using Bootstrap 5. bootstrap_form is a Rails form builder that makes it super easy to integrate Bootstrap v5-style forms into your Rails application. It provides form helpers that augment the Rails form helpers. bootstrap_forms's form helpers generate the form field and its label and all the Bootstrap mark-up required for proper Bootstrap display. bootstrap_form. ... -
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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ModelingToolkit.jl
Modeling framework for automatically parallelized scientific ML
...It then mixes ideas from symbolic computational algebra systems with causal and acausal equation-based modeling frameworks to give an extendable and parallel modeling system. It allows for users to give a high-level description of a model for symbolic preprocessing to analyze and enhance the model. Automatic symbolic transformations, such as index reduction of differential-algebraic equations, make it possible to solve equations that are impossible to solve with a purely numeric-based technique. ModelingToolkit.jl is a symbolic-numeric modeling package. Thus it combines some of the features from symbolic computing packages like SymPy or Mathematica with the ideas of equation-based modeling systems like the causal Simulink and the acausal Modelica. -
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Laravel View Models
View models in Laravel
Have you ever made a controller where you had to do a lot of work to prepare variables to be passed to a view? You can move that kind of work to a so-called view model. In essence, view models are simple classes that take some data, and transform it into something usable for the view. -
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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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ComfyUI SUPIR
SUPIR upscaling wrapper for ComfyUI
The ComfyUI-SUPIR project is a ComfyUI integration of the SUPIR model, which is designed for high-quality image restoration and super-resolution. It enables users to enhance low-resolution or degraded images using advanced diffusion-based techniques. The integration provides nodes that allow users to control parameters such as noise levels, guidance strength, and output quality. It is particularly useful for workflows that require upscaling or restoring images before further processing. ... -
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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. ... -
Secure File Transfer for Windows with Cerberus by RedwoodCerberus supports unlimited users and connections on a single IP, with built-in encryption, 2FA, and a browser-based web client — all deployable in under 15 minutes with a 25-day free trial.
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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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Remult
Full-stack CRUD, simplified, with SSOT TypeScript entities
Remult is a full-stack CRUD framework for building type-safe web applications using a single shared TypeScript model. It automatically exposes backend APIs based on your entities and provides real-time synchronization, role-based access control, and deep integration with front-end frameworks like React, Angular, and Vue. Remult simplifies full-stack development by unifying API and model definitions. -
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Plog
Portable, simple and extensible C++ logging library
Portable, simple and extensible C++ logging library. Plog is a C++ logging library that is designed to be as simple, small and flexible as possible. It is created as an alternative to existing large libraries and provides some unique features as CSV log format and wide string support. -
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Laravel Follow
Add user based follow system to your model
This package helps you to add user user-based follow system to your model. -
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Kodus
AI code reviews, just like your senior dev would do
...It provides a structured set of tools and abstractions that help teams design agent behaviors, orchestrate data pipelines, optimize inference, and integrate AI capabilities with applications or services. The platform often includes model management, scalable training workflows, and orchestration patterns that help teams move from research or prototypes to production-ready AI deployments. Through configurable pipelines and a focus on modularity, it supports experimentation while maintaining reproducibility and performance. Its tooling is typically designed to handle real-world imperatives like logging, monitoring, versioning, and hooking into operational infrastructure. -
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PAL MCP
The power of Claude Code / GeminiCLI / CodexCLI
PAL MCP is an open-source Model Context Protocol (MCP) server designed to act as a powerful middleware layer that connects AI clients and tools—like Claude Code, Codex CLI, Cursor, and IDE plugins—to a broad range of underlying AI models, enabling collaborative multi-model workflows rather than relying on a single model. It lets developers orchestrate interactions across multiple models (including Gemini, OpenAI, Grok, Azure, Ollama, OpenRouter, and custom/self-hosted models), preserving conversation context seamlessly as tasks evolve and substeps run across tools. ... -
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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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KServe
Standardized Serverless ML Inference Platform on Kubernetes
KServe provides a Kubernetes Custom Resource Definition for serving machine learning (ML) models on arbitrary frameworks. It aims to solve production model serving use cases by providing performant, high abstraction interfaces for common ML frameworks like Tensorflow, XGBoost, ScikitLearn, PyTorch, and ONNX. It encapsulates the complexity of autoscaling, networking, health checking, and server configuration to bring cutting edge serving features like GPU Autoscaling, Scale to Zero, and Canary Rollouts to your ML deployments. ... -
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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. -
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Knockout
Tool to create rich, responsive UIs with JavaScript
Easily associate DOM elements with model data using a concise, readable syntax. When your data model's state changes, your UI updates automatically. Implicitly set up chains of relationships between model data, to transform and combine it. Quickly generate sophisticated, nested UIs as a function of your model data. Get started with knockout.js quickly, learning to build single-page applications, custom bindings and more with interactive tutorials. -
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Deep Java Library (DJL)
An engine-agnostic deep learning framework in Java
Deep Java Library (DJL) is an open-source, high-level, engine-agnostic Java framework for deep learning. DJL is designed to be easy to get started with and simple to use for Java developers. DJL provides native Java development experience and functions like any other regular Java library. You don't have to be a machine learning/deep learning expert to get started. You can use your existing Java expertise as an on-ramp to learn and use machine learning and deep learning. You can use your... -
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AUTOMATIC1111 Stable Diffusion web UI
Stable Diffusion web UI
AUTOMATIC1111's stable-diffusion-webui is a powerful, user-friendly web interface built on the Gradio library that allows users to easily interact with Stable Diffusion models for AI-powered image generation. Supporting both text-to-image (txt2img) and image-to-image (img2img) generation, this open-source UI offers a rich feature set including inpainting, outpainting, attention control, and multiple advanced upscaling options. With a flexible installation process across Windows, Linux, and... -
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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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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).
