Search Results for "mac framework" - Page 61
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Showing 10268 open source projects for "mac framework"
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Haiku
JAX-based neural network library
Haiku is a library built on top of JAX designed to provide simple, composable abstractions for machine learning research. Haiku is a simple neural network library for JAX that enables users to use familiar object-oriented programming models while allowing full access to JAX’s pure function transformations. Haiku is designed to make the common things we do such as managing model parameters and other model state simpler and similar in spirit to the Sonnet library that has been widely used... -
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Nuke
Image loading system
Nuke ILS provides an efficient way to download and display images in your app. It's easy to learn and use thanks to a clear and concise API. Its architecture enables many powerful features while offering virtually unlimited possibilities for customization. Despite the number of features, the framework is lean and compiles in just under 3 seconds¹. Nuke has an automated test suite 2x the size of the codebase itself, ensuring excellent reliability. Every feature is carefully designed and... -
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React Navigation
Routing and navigation for React Native and Web apps
React Navigation is a routing and navigation framework for React Native and web apps. It provides navigators, screens, linking tools, and navigation state management for building multi-screen applications. Developers can create stack navigation, tab navigation, drawer navigation, nested flows, and deep linking behavior with a consistent API. The library is customizable, extensible, and designed to feel natural on both iOS and Android. It works closely with other React Native ecosystem... -
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JavaFamily
Java Interview + Java Study Guide
JavaFamily is a large educational repository that aggregates knowledge, tutorials, and resources related to Java development and backend engineering. It covers a wide range of topics including core Java, Spring framework, microservices, distributed systems, and performance optimization. The project is designed to help developers build a strong foundation while also exploring advanced concepts used in enterprise environments. It includes explanations, code samples, and curated resources that... -
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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Kreuzberg
Polyglot document intelligence framework
Kreuzberg is a flexible task orchestration and agent workflow platform designed to help developers build, coordinate, and scale intelligent agents or automation pipelines that interact with external services, runtime environments, and multi-step business workflows. It emphasizes modular design so that developers can define discrete tasks or “actions” and then compose them into complex flows where dependencies, parallel steps, and error handling are declaratively managed. This structure makes... -
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Groovy Geb
Apache Geb: Very Groovy Browser Automation
Geb (pronounced “jeb”) is a Groovy-based browser automation framework that combines Selenium WebDriver under the hood with Groovy's concise DSL and jQuery-like content selection. It embraces the Page Object pattern and provides elegant browser automation scripts with expressive, readable syntax. Expressive, concise syntax ideal for functional-style test scripts. Open-source under Apache 2.0, with Apache Groovy community support. jQuery-like selectors for intuitive content targeting.... -
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XXL-JOB
A distributed task scheduling framework
XXL-JOB is a distributed task scheduling platform for managing and executing jobs in Java-based applications. Designed for scalability and ease of use, it provides a powerful web interface for task definition, monitoring, and execution. XXL-JOB supports various scheduling strategies, distributed execution, failover, and script-based job execution. It is widely adopted in enterprise systems for background task orchestration and automation. -
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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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Rio
WebApps in pure Python. No JavaScript, HTML and CSS needed
Rio is a Python framework designed to build web applications without the need for HTML, CSS, or JavaScript. Inspired by frameworks like Flutter and React, Rio offers a declarative interface and reusable components, enabling developers to create dynamic web apps entirely in Python. It streamlines the development process by managing both frontend and backend seamlessly. -
Host LLMs in Production With On-Demand GPUsDeploy your model, get an endpoint, pay only for compute time. No GPU provisioning or infrastructure management required.
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APIJSON
Real-Time coding-free, powerful and secure ORM
APIJSON is an open-source framework developed by Tencent that enables zero-code, real-time, and secure API development. It allows developers to perform CRUD operations through JSON-based requests without writing backend code, significantly accelerating development and reducing errors. APIJSON supports fine-grained access control, parameter validation, and seamless integration with various databases, making it a powerful tool for building scalable APIs. -
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Symfony Twig Bundle
Provides a tight integration of Twig into Symfony full-stack framework
Symfony Twig Bundle is an official Symfony bundle that sets up the Twig templating engine within a Symfony project. It provides configuration and integration tools for using Twig as the primary template engine, allowing developers to create dynamic and reusable templates. The bundle supports template caching, extensions, and rendering of structured views, making it ideal for building dynamic web pages. -
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Open Web Analytics (OWA)
Official repository for Open Web Analytics
Open Web Analytics (OWA) is an open-source web analytics framework that tracks and analyzes visitor behavior on websites and applications. It provides insights into page views, user demographics, and engagement metrics. OWA can be self-hosted, giving users full control over their data. It is an alternative to commercial analytics platforms and supports integration with WordPress and other CMS platforms. -
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Symfony Monolog Bridge
Provides integration for Monolog with various Symfony components
Symfony Monolog Bridge is a Symfony component that provides seamless integration between the Monolog logging library and Symfony applications. It acts as a bridge, allowing developers to leverage Monolog's robust logging capabilities within the Symfony framework. The bridge supports various logging handlers, including files, databases, and third-party services, while also allowing customization of log channels and formatting. -
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Symfony Doctrine Bridge
Provides integration for Doctrine with various Symfony components
Symfony Doctrine Bridge is a component that integrates the powerful Doctrine ORM (Object-Relational Mapping) with the Symfony framework. It provides a seamless connection between Symfony's data handling and Doctrine's database management, allowing developers to work efficiently with database entities. The bridge handles the configuration and registration of Doctrine within Symfony applications, making it an essential tool for projects requiring robust data management. -
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ContextGem
ContextGem: Effortless LLM extraction from documents
ContextGem is an open-source framework designed to simplify the extraction of structured data and insights from documents using large language models (LLMs). It provides a flexible, intuitive API that minimizes boilerplate code, enabling developers to build complex extraction workflows efficiently. ContextGem supports various document formats and integrates with multiple LLM providers, making it a versatile tool for tasks like contract analysis, anomaly detection, and information retrieval. -
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LightZero
[NeurIPS 2023 Spotlight] LightZero
LightZero is an efficient, scalable, and open-source framework implementing MuZero, a powerful model-based reinforcement learning algorithm that learns to predict rewards and transitions without explicit environment models. Developed by OpenDILab, LightZero focuses on providing a highly optimized and user-friendly platform for both academic research and industrial applications of MuZero and similar algorithms. -
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EvoTorch
Advanced evolutionary computation library built on top of PyTorch
EvoTorch is an evolutionary optimization framework built on top of PyTorch, developed by NNAISENSE. It is designed for large-scale optimization problems, particularly those that require evolutionary algorithms rather than gradient-based methods. -
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MindSearch
An LLM-based Multi-agent Framework of Web Search Engine
MindSearch is an AI-powered search engine based on large language models (LLMs) designed for deep semantic search and retrieval. It leverages InternLM's language model to understand complex queries and retrieve highly relevant answers from large datasets. -
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GNUstep Base Library
The GNUstep is a library of general-purpose Objective C objects
The GNUstep Base Library is part of the GNUstep project, providing an open-source implementation of the Foundation framework, compatible with macOS and iOS. It offers core Objective-C classes and utilities for cross-platform application development. -
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AgentRun
The easiest, and fastest way to run AI-generated Python code safely
AgentRun is a framework for building autonomous AI agents capable of executing complex tasks with minimal human intervention. It provides a structured environment for defining agent behaviors, managing workflows, and integrating AI models to achieve specific goals. -
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Performance Co-Pilot (PCP)
Performance Co-Pilot
Performance Co-Pilot (PCP) provides a framework and services to support system-level performance monitoring and management. It presents a unifying abstraction for all of the performance data in a system, and many tools for interrogating, retrieving and processing that data. PCP is a feature-rich, mature, extensible, cross-platform toolkit supporting both live and retrospective analysis. The distributed PCP architecture makes it especially useful for those seeking centralized monitoring of... -
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Better Auth
The most comprehensive authentication library for TypeScript
Better Auth is framework-agnostic authentication (and authorization) library for TypeScript. It provides a comprehensive set of features out of the box and includes a plugin ecosystem that simplifies adding advanced functionalities with minimal code in a short amount of time. Whether you need 2FA, multi-tenant support, or other complex features. It lets you focus on building your actual application instead of reinventing the wheel. -
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NestJS Telegraf
Powerful Nest module for easy and fast creation Telegram bots
NestJS Telegraf – powerful solution for creating Telegram bots. This package uses the best of the NodeJS world under the hood. Telegraf is the most powerful library for creating bots and NestJS is a progressive framework for creating well-architectured applications. This module provides fast and easy way for creating Telegram bots and deep integration with your NestJS application. -
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vstest
Visual Studio Test Platform is the runner and engine that powers test
The Visual Studio Test Platform is an open and extensible test platform that enables running tests, collect diagnostics data and report results. The Test Platform supports running tests written in various test frameworks, and using a pluggable adapter model. Based on user-choice, the desired test framework and its corresponding adapter can be acquired as a vsix or as NuGet package as the case may be. Adapters can be written in terms of a public API exposed by the Test Platform. -
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Learning Interpretability Tool
Interactively analyze ML models to understand their behavior
The Learning Interpretability Tool (LIT, formerly known as the Language Interpretability Tool) is a visual, interactive ML model-understanding tool that supports text, image, and tabular data. It can be run as a standalone server, or inside of notebook environments such as Colab, Jupyter, and Google Cloud Vertex AI notebooks.
