Search Results for "frameworks" - Page 86
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Showing 8931 open source projects for "frameworks"
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Riffusion App
Stable diffusion for real-time music generation (web app)
Riffusion App Hobby is an open-source interactive web application that enables real-time music generation using stable diffusion models adapted for audio synthesis. Unlike traditional music generation tools, it treats audio as spectrogram images and applies diffusion techniques to generate continuous sound transitions, allowing users to create evolving musical loops and compositions. The application is built with modern web technologies including Next.js, React, and three.js, providing a... -
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Shumai
Fast Differentiable Tensor Library in JavaScript & TypeScript with Bun
...It allows seamless integration of machine learning, deep learning, and custom differentiable programs into web-based or server-side environments without relying on Python frameworks. The library supports matrix operations, gradient computation, and tensor conversions with intuitive APIs and near-native speed, thanks to Bun’s low-overhead FFI bindings. It can automatically leverage GPU acceleration on Linux (via CUDA) and CPU computation on macOS. -
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Laravel Sentinel
A framework agnostic authentication & authorization system
Sentinel is a PHP 8.1+ framework agnostic fully-featured authentication & authorization system. It also provides additional features such as user roles and additional security features. -
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Prom-Client
Prometheus client for node.js
Prom-Client is a Prometheus client for Node.js that allows developers to instrument their applications and expose metrics, facilitating the monitoring of application performance and resource usage. -
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iamjs
Your complete Access Control Library with End-to-end typesafety
iamjs is a fully-featured and typesafe library that makes authorization easy. It is designed to be used in both Node.js and browser environments, and currently supports popular frameworks like express, koa, next.js, and react. -
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OpenCV
Open Source Computer Vision Library
The Open Source Computer Vision Library has >2500 algorithms, extensive documentation and sample code for real-time computer vision. It works on Windows, Linux, Mac OS X, Android, iOS in your browser through JavaScript. Languages: C++, Python, Julia, Javascript Homepage: https://opencv.org Q&A forum: https://forum.opencv.org/ Documentation: https://docs.opencv.org Source code: https://github.com/opencv Please pay special attention to our tutorials!... -
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Physical Symbolic Optimization (Φ-SO)
Physical Symbolic Optimization
Physical Symbolic Optimization (Φ-SO) - A symbolic optimization package built for physics. Symbolic regression module uses deep reinforcement learning to infer analytical physical laws that fit data points, searching in the space of functional forms. -
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imgclsmob Deep learning networks
Sandbox for training deep learning networks
...It includes implementations of models used for tasks such as image classification, object detection, semantic segmentation, and pose estimation. The repository also contains scripts that help train models, evaluate performance, and convert trained networks between different frameworks. Several deep learning frameworks are supported, allowing researchers to experiment with architectures in different environments. The project is frequently used by developers who want to study modern convolutional neural network designs and compare their performance across datasets. -
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OSWorld
Benchmarking Multimodal Agents for Open-Ended Tasks
OSWorld is an open-source synthetic world environment designed for embodied AI research and multi-agent learning. It provides a richly simulated 3D world where multiple agents can interact, perform tasks, and learn complex behaviors. OSWorld emphasizes multi-modal interaction, enabling agents to process visual, auditory, and symbolic data for grounded learning in a simulated world. -
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django-split-settings
Organize Django settings into multiple files and directories
Organize Django settings into multiple files and directories. Easily override and modify settings. Use wildcards in settings file paths and mark settings files as optional. Managing Django’s settings might be tricky. There are severals issues which are encountered by any Django developer along the way. First one is caused by the default project structure. Django clearly offers us a single settings.py file. It seams reasonable at the first glance. And it is actually easy to use just after the... -
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Maestro Framework
A framework for Claude Opus to intelligently orchestrate subagents
Maestro Framework is a Python framework for orchestrating AI subagents across complex tasks. It breaks a user objective into smaller subtasks, assigns those subtasks to worker models, and refines the results into a final output. The original workflow used Claude Opus and Haiku, while newer variants support Claude 3.5 Sonnet, GPT models, Gemini, Cohere, Groq, LM Studio, and Ollama through different scripts and LiteLLM support. It can maintain context between subtasks so later steps can build... -
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MacDriver
Native Mac APIs for Go
MacDriver is a toolkit for working with Apple/Mac APIs and frameworks in Go. It currently has 2 parts. The objc package wraps the Objective-C runtime to dynamically interact with Objective-C objects and classes. The cocoa, webkit, and core packages wrap objc with wrapper types for parts of the Apple/Mac APIs. They're being added to as needed by hand until we can automate this process with schema data. -
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slua-unreal
lua dev plugin for unreal engine 4 or 5
Slua-unreal is an unreal4 plugin, which allows you to use Lua language to develop game logic and hot fix your code. It gives you 3 ways to wrap your C++ interface to Lua, including reflection by blueprint, C++ template, and static code generation. It also enables two-way communication between Blueprint and Lua. The advantage of Lua over C++ is that it requires no compilation for logic change, which significantly speeds up the game development process. -
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TAME LLM
Traditional Mandarin LLMs for Taiwan
...These models are designed to support applications such as conversational AI, knowledge retrieval, and domain-specific reasoning in fields like manufacturing, law, healthcare, and electronics. The training pipeline leverages high-performance computing infrastructure and frameworks such as NVIDIA NeMo and Megatron to enable large-scale model training. Taiwan-LLM aims to improve language understanding and generation for Traditional Mandarin users by incorporating region-specific datasets and evaluation benchmarks. -
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Responsible AI Toolbox
Responsible AI Toolbox is a suite of tools providing model
...The project provides tools that assist in analyzing model behavior, detecting bias, improving robustness, and explaining predictions produced by AI systems. It is designed to integrate with common machine learning frameworks, especially PyTorch, allowing developers to apply responsible AI techniques within existing workflows. The toolbox includes methods for adversarial testing, interpretability analysis, and model diagnostics that help developers understand how models behave under different conditions. These capabilities are particularly important for high-impact domains where AI systems must meet strict reliability and fairness requirements. ... -
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Bolt NLP
Bolt is a deep learning library with high performance
Bolt is a high-performance deep learning inference framework developed by Huawei Noah's Ark Lab. It is designed to optimize and accelerate the deployment of deep learning models across various hardware platforms. Bolt is a light-weight library for deep learning. Bolt, as a universal deployment tool for all kinds of neural networks, aims to automate the deployment pipeline and achieve extreme acceleration. Bolt has been widely deployed and used in many departments of HUAWEI company, such as... -
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Kweb
A Kotlin web framework
Kweb is designed to make it easy for developers to create modern websites without having to worry about the complexities of communication between the server and the browser. With a unified codebase, you can focus on creating an intuitive and user-friendly interface, rather than spending time on technical details. 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... -
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REST APIs with Flask and Python
Projects and e-book for our course, REST APIs with Flask and Python
A full course to teach you how to use Flask and Python to make REST APIs using multiple Flask extensions and PostgreSQL. Learn Flask, Docker, PostgreSQL, and more. Build professional-grade REST APIs with Python. No more outdated tutorials. Use Python 3.10+ and the latest versions of every Flask extension and library. Run your apps in Docker, host your code with Git, write documentation with Swagger, and test your APIs while developing. Learn how to perform user authentication using JWTs and... -
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XOOPS Web Application System
The world's leading content management systems (CMS) written in PHP
PLEASE NOTE: Latest XOOPS files are on http://github.com/xoops and http://github.com/xoopsmodules25x) XOOPS is a Web application platform written in PHP for the MySQL database. Its object orientation makes it an ideal tool for developing small or large community websites, intra-company and corporate portals, weblogs, and much more. XOOPS is an acronym of eXtensible Object Oriented Portal System. Initially a portal system, XOOPS is now a leading content management system (CMS) that serves... -
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Laravel Widgetize
A minimal package to help you make your laravel application cleaner
A minimal package to help you make your Laravel application cleaner and faster. -
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Arianne RPG
Arianne is an engine to develop multiplayer online games like Stendhal
Arianne is a multiplayer online engine to develop turn based and real time games, providing a simple way of creating the game server rules and clients like our MORPG Stendhal. Our engine Marauroa uses Java and SQL for hosting hundreds of players on a solo host. Stendhal is a fun friendly and free multiplayer online adventure game with a huge and rich world. With hundreds of NPCs and different quests, features like the Travel log and achievement system keep track of progress. Thousands of... -
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GHunt
Offensive Google framework
GHunt (v2) is an offensive Google framework, designed to evolve efficiently. It's currently focused on OSINT, but any use related with Google is possible. It will automatically use venvs to avoid dependency conflicts with other projects. First, launch the listener by doing ghunt login and choose between 1 of the 2 first methods. Put GHunt on listening mode (currently not compatible with docker) Paste base64-encoded cookies. Enter manually all cookies. The development of this extension has... -
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Best-of React Web
A ranked list of awesome React open-source libraries and tools
This curated list contains 430 awesome open-source projects with a total of 5M stars grouped into 22 categories. All projects are ranked by a project-quality score, which is calculated based on various metrics automatically collected from GitHub and different package managers. If you like to add or update projects, feel free to open an issue, submit a pull request, or directly edit the projects.yaml. -
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iDempiere
iDempiere. Community Powered Enterprise
iDempiere. Community Powered Enterprise iDempiere Business Suite ERP/CRM/SCM done the community way. Focus is on the Community that includes Subject Matter Specialists, Implementors and End-Users. iDempiere is based on original Compiere/Adempiere plus a new architecture to use state-of-the-art technologies like OSGi, Buckminster, zk. -
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LlamaGen
Autoregressive Model Beats Diffusion
LlamaGen is an open-source research project that introduces a new approach to image generation by applying the autoregressive next-token prediction paradigm used in large language models to visual generation tasks. Instead of relying on diffusion models, the framework treats images as sequences of tokens that can be generated progressively using transformer architectures similar to those used for text generation. The project explores how scaling autoregressive models and improving image...