Search Results for "define" - Page 9
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Showing 1565 open source projects for "define"
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Go From AI Idea to AI App FastAccess Gemini 3 and 200+ models. Build chatbots, agents, or custom models with built-in monitoring and scaling.
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cmake-conan
CMake wrapper for conan C and C++ package manager
cmake-conan is a CMake wrapper for the Conan C and C++ package manager, designed to streamline the integration of Conan into CMake-based projects. It automates the process of installing and managing dependencies, allowing developers to define their requirements in Conan and have them seamlessly integrated into their CMake build process. This tool simplifies dependency management and enhances reproducibility in C++ projects. -
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Chimney
Scala library for boilerplate-free, type-safe data transformations
Chimney is a Scala library that facilitates boilerplate-free, type-safe data transformations between different data types. It enables developers to define mappings between source and target types, ensuring that transformations are checked at compile time, thereby reducing runtime errors and enhancing code reliability. -
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Celest
The Flutter cloud platform
Celest is the Flutter cloud platform. We enable Flutter and Dart developers to declaratively define their backend infrastructure in Dart. To interact with the running environment, Celest will generate a Dart client which you can use in any Dart or Flutter project. This client is generated in the client/ directory of your celest/ folder. As you make changes in the local environment, this client will be updated to reflect those changes. -
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Laravel Eloquent Query Cache
Adding cache on your Laravel Eloquent queries' results is now a breeze
Laravel Eloquent Query Cache brings back the remember() functionality that has been removed from Laravel a long time ago. It adds caching functionalities directly on the Eloquent level, making use of cache within your database queries. -
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MethodOfLines.jl
Automatic Finite Difference PDE solving with Julia SciML
MethodOfLines.jl is a Julia package for automated finite difference discretization of symbolically defined PDEs in N dimensions. It uses symbolic expressions for systems of partial differential equations as defined with ModelingToolkit.jl, and Interval from DomainSets.jl to define the space(time) over which the simulation runs. This project is under active development, therefore the interface is subject to change. The docs will be updated to reflect any changes, please check back for current usage information. -
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Coluna.jl
Branch-and-Price-and-Cut in Julia
...Then, Coluna reformulates the original MIP and optimizes the reformulation using the algorithms you choose. Coluna aims to be very modular and tweakable so that you can define the behavior of your customized branch-and-price-and-cut algorithm. -
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my-tv-0
My TV·〇 TV video playback device can customize the TV source
my-tv-0 is an open-source television streaming application that allows users to play video content from customizable sources, offering a flexible alternative to traditional IPTV solutions. The software supports multiple configuration formats, enabling users to define their own channel lists and video streams using files such as M3U, JSON, or TXT. It is designed to run on Android-based devices, including TV boxes and smart TVs, providing a simple interface for browsing and switching between channels. The application emphasizes user control, allowing remote configuration through QR codes or local network endpoints, which simplifies setup and management. ... -
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Cofounder
AI tool that generates full-stack web apps with generative UI systems
...Generated projects are stored locally and can be launched using standard development commands, allowing developers to run and modify the code that the system produces. Cofounder relies on configurable nodes and sequences that define how AI operations are executed. -
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Dagger
Containerized automation engine for programmable CI/CD workflows
Dagger is an open source automation engine designed to build, test, and deliver software in a consistent and programmable way. It enables developers to define software delivery workflows using code instead of complex shell scripts or configuration files. Dagger executes tasks inside containers, ensuring that automation runs in identical environments across local machines, CI servers, or cloud infrastructure. Dagger provides a core execution engine and system API that orchestrates containers, filesystems, secrets, repositories, and other resources needed during development pipelines. ... -
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ClawRouter
Smart LLM router
...Because distributed AI systems often involve many services, agents, and runtime components interacting with each other and with external APIs, ClawRouter helps ensure that communication paths remain clear, efficient, and adaptable as systems scale. The framework supports plugin-based extensions so developers can define custom protocols, transformation hooks, and monitoring handlers without modifying core routing logic. It also offers operational features like health checking, metrics reporting, and failure handling that make production deployments more reliable. -
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IdeaVim
IdeaVim – A Vim engine for JetBrains IDEs
...IdeaVim can execute IDE actions directly from Vim keybindings or mappings, letting you bridge the gap between traditional Vim workflows and rich IDE functionality like refactoring, navigation, inspections, and code generation through customizable key mappings. Users can define their own .ideavimrc configuration file to tailor command behavior, source standard Vim configurations, and even hook actions from plugins. -
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Android Emulator Container Scripts
Minimal scripts to run the emulator in a container for various systems
...A built-in WebRTC bridge lets you stream the emulator screen to a browser with interactive input, which is ideal for CI dashboards, remote debugging, or demo environments. The project focuses on reproducibility and scale: you define which system image to boot, how to persist or reset data, and how many instances to run, then schedule them like any other workload. GPU acceleration, audio, and sensors can be enabled depending on your host and cluster capabilities, while fallbacks like SwiftShader keep things usable when no GPU is available. -
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Opik
Debug, evaluate, and monitor your LLMapps, RAG systems, and agentic AI
...Log traces during development and in production. Run experiments with different prompts and evaluate against a test set. Choose and run pre-configured evaluation metrics or define your own with our convenient SDK library. Consult built-in LLM judges for complex issues like hallucination detection, factuality, and moderation. -
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Laravel Localization
Easy localization for Laravel
Easy i18n localization for Laravel, a useful tool to combine with Laravel localization classes. As you can modify the supportedLocales even by renaming their keys, it is possible to use the string uk instead of en-GB to provide custom lang url segments. Of course, you need to prevent any collisions with already existing keys and should stick to the convention as long as possible. But if you are using such a custom key, you have to store your mapping to the localesMapping array. This... -
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conf
Simple config handling for your app or module
All you have to care about is what to persist. This module will handle all the dull details like where and how. It does not support multiple processes writing to the same store. I initially made this tool to let command-line tools persist some data. -
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django-prometheus
Export Django monitoring metrics for Prometheus.io
Export Django monitoring metrics for Prometheus.io. This library provides Prometheus metrics for Django-related operations. Prometheus uses Histogram based grouping for monitoring latencies. You can define custom buckets for latency, adding more buckets decreases performance but increases accuracy. SQLite, MySQL, and PostgreSQL databases can be monitored. Just replace the ENGINE property of your database, replacing django.db.backends with django_prometheus.db.backends. You may want to monitor the creation/deletion/update rate for your model. ... -
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IRremoteESP8266
Infrared remote library for ESP8266/ESP32
...You will need to change your usage to work with v2.0 and beyond. You can read more about the changes required on our Upgrade to v2.0 page. The library has changed from using constants declared as #define to const with the appropriate naming per the C++ style guide. This may potentially cause old programs to not compile. The most likely externally used #defines have been aliased for limited backward compatibility for projects using the old style. Going forward, only the new constant name style will be supported for new protocol additions. -
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GenericAgent
Self-evolving autonomous agent framework
The GenericAgent project is a flexible framework for building autonomous AI agents that can operate across diverse tasks and environments. It is designed around modularity, allowing developers to define agents with interchangeable components such as tools, memory systems, and reasoning strategies. The architecture emphasizes generality, enabling the same agent framework to be adapted for different domains including coding, research, and task automation. It integrates with modern language models to provide planning, execution, and iterative reasoning capabilities, making it suitable for complex workflows. ... -
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uAssets
Filter lists for uBlock Origin & uBlock Origin Lite
uAssets is a companion repository for the uBlock Origin content blocker that contains filter lists, rules, and configuration data used to block advertisements, trackers, and unwanted web content across the internet. It acts as a continuously updated database of filtering rules that define how uBlock Origin interacts with web pages, enabling it to remove intrusive elements and improve user privacy. The repository includes domain-based filters, cosmetic rules, scriptlet injections, and exception handling to ensure both effectiveness and compatibility with websites. It is maintained by a team of contributors who regularly update filters to respond to changes in advertising techniques and tracking mechanisms. ... -
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Numba CUDA Target
The CUDA target for Numba
Numba CUDA Target is NVIDIA’s maintained CUDA backend for the Numba JIT compiler, enabling developers to write GPU-accelerated code directly in Python. It allows users to define CUDA kernels using Python syntax, which are then compiled into efficient GPU code at runtime using LLVM-based toolchains. This approach significantly lowers the barrier to entry for GPU programming by eliminating the need to write CUDA C++ while still delivering high performance. The project supports the SIMT programming model, allowing developers to control threads, blocks, and memory hierarchies similarly to native CUDA programming. ... -
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TensorRT LLM
TensorRT LLM provides users with an easy-to-use Python API
TensorRT-LLM is an open-source high-performance inference library specifically designed to optimize and accelerate large language model deployment on NVIDIA GPUs. It provides a Python-based API built on top of PyTorch that allows developers to define, customize, and deploy LLMs efficiently across a variety of hardware configurations, from single GPUs to large multi-node clusters. The library focuses on maximizing throughput and minimizing latency through advanced techniques such as quantization, custom attention kernels, and optimized memory management strategies. It includes support for cutting-edge inference methods like speculative decoding and inflight batching, enabling real-time and large-scale AI applications. ... -
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AG2
Framework for building and orchestrating multi-agent AI systems
AG2 is an open source framework designed to support the creation and coordination of multiple AI agents working together to solve complex tasks. It provides abstractions that allow developers to define agents with distinct roles, responsibilities, and communication patterns, enabling collaborative problem-solving workflows. AG2 focuses on making multi-agent systems more accessible by simplifying how agents are configured, connected, and executed. It includes mechanisms for agent-to-agent interaction, task delegation, and iterative reasoning, which are essential for building advanced AI-driven applications. ... -
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Pluely
The Open Source Alternative to Cluely
Pluely is an open-source AI automation framework designed to simplify the development and deployment of AI-driven workflows across applications and services. The system focuses on orchestrating tasks performed by large language models and other AI components, allowing developers to define structured workflows where models interact with tools, APIs, and external systems. By providing a modular architecture for building AI pipelines, the platform enables developers to connect multiple processing steps such as data retrieval, prompt execution, analysis, and response generation. The project emphasizes flexibility, allowing developers to extend the platform with custom integrations and automation logic. ... -
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Trellis AI
All-in-one AI framework & toolkit for Claude Code & Cursor
Trellis is an advanced workflow and agent orchestration framework designed for building, managing, and scaling intelligent applications that coordinate numerous autonomous components. At its core, Trellis lets developers define units of work — called tasks or agents — and compose them into rich workflows that can operate with concurrency, conditional logic, and dynamic branching, all without sacrificing readability or control. It emphasizes modular design, encouraging users to encapsulate logic into reusable pieces that can be tested, versioned, and reused across projects. ... -
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PersonaPlex
PersonaPlex code
...This architectural approach eliminates awkward pauses and makes conversations feel much more human-like, with natural behaviors such as overlapping speech, interruptions, and fluent turn-taking, traits that traditional AI assistants typically lack. PersonaPlex also supports persona and voice control, allowing developers to define the role and speaking style of the agent using text prompts and voice conditioning, making it suitable for applications like customized voice assistants, interactive character agents, or domain-specific conversational tools. Internally, it processes continuous audio streams in a hybrid input format so that speech understanding and generation occur jointly.
