Search Results for "interface" - Page 96
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Showing 16669 open source projects for "interface"
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OSRFramework
OSRFramework, the Open Sources Research Framework is a AGPLv3+ project
...At the same time, by means of ad-hoc Maltego transforms, OSRFramework provides a way of making these queries graphically as well as several interfaces to interact with like OSRFConsole or a Web interface. If everything went correctly (we hope so!), it's time for trying usufy., mailfy and so on. But where are they locally? They are installed in your path meaning that you can open a terminal anywhere and typing the name of the program (seems to be an improvement from previous installations). Generates candidate nicknames based on known info about the target. -
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Grab Framework Project
Web Scraping Framework
...You write classes that define handlers for each type of network request. Each handler is able to spawn new network requests. Network requests are processed concurrently with a pool of asynchronous web sockets. Grab provides interface called Spider to develop multithreaded web-site scrapers. -
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superfluid protocol-monorepo
Superfluid protocol specification, implementations and development kit
...Settle employees and contributors compensation once and for all, without frictions or fees. Your tokens flow in a continuous stream to recipients, until you edit their compensation or choose to stop it. Create, modify or close streams in a single interface, even if the stream was started on other applications. The Superfluid Protocol is a framework that realizes the real-time finance vision where user accounts are connected together, and transactions can happen between user accounts instantaneously as a result. This repository implements the superfluid protocol as Ethereum contracts. ... -
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SLIME
The Superior Lisp Interaction Mode for Emacs
SLIME is a Emacs mode for Common Lisp development. Inspired by existing systems such Emacs Lisp and ILISP, we are working to create an environment for hacking Common Lisp in. SLIME extends Emacs with support for interactive programming in Common Lisp. The features are centered around slime mode, an Emacs minor mode that complements the standard lisp mode. While lisp-mode supports editing Lisp source files, slime-mode adds support for interacting with a running Common Lisp process for... -
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Flycheck
On the fly syntax checking for GNU Emacs
...It uses various syntax checking and linting tools to automatically check the contents of buffers while you type, and reports warnings and errors directly in the buffer, or in an optional error list. Out of the box Flycheck supports over 40 different programming languages with more than 80 different syntax-checking tools, and comes with a simple interface to define new syntax checkers. Many 3rd party extensions provide new syntax checkers and other features like alternative error displays or mode line indicators. Flycheck needs GNU Emacs 24.3+, and works best on Unix systems. Windows users, please be aware that Flycheck does not support Windows officially, although it should mostly work fine on Windows. -
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Shynet
Modern, privacy-friendly, and detailed web analytics
...It works without cookies, so you don't need any intrusive cookie notices. It collects just enough data to be useful, but not enough to be creepy. It's open source and intended to be self-hosted. And you may even find the interface easy to use. -
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Lambda Builders
Python library to compile, build & package AWS Lambda functions
...AWS Lambda Builders also supports Custom workflow through a Makefile. Lambda Builders is the brains behind the sam build command from AWS SAM CLI. Lambda Builders is a Python library. It additionally exposes a JSON-RPC 2.0 interface to use in other languages. Build Actions could be implemented in any programming language. Preferably in the language that they are building. Some build actions simply execute a binary (like Golang) without writing a Go script. We provide a generic Python runner to implement such build actions. A build action is a module that knows how to build for a particular programming language & framework (ex: Python+PIP). ... -
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Boehm-Demers-Weiser Garbage Collector
The Boehm-Demers-Weiser conservative C/C++ Garbage Collector
...The collector is also used by a number of programming language implementations that either use C as intermediate code, want to facilitate easier interoperation with C libraries, or just prefer the simple collector interface. Alternatively, the garbage collector may be used as a leak detector for C or C++ programs, though that is not its primary goal. The arguments for and against conservative garbage collection in C and C++ are briefly discussed in issues.html. Empirically, this collector works with most unmodified C programs. -
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CosmoScout VR
Virtual universe which lets you explore & analyze planetary datasets
A virtual universe which lets you explore, analyze and present huge planetary datasets and large simulation data in real-time. CosmoScout VR is a modular virtual universe developed at the German Aerospace Center (DLR). It lets you explore, analyze and present huge planetary data sets and large simulation data in real-time. The software can be built on Linux (gcc or clang) and Windows (msvc). Nearly all dependencies are included as git submodules, please refer to the documentation in order to... -
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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Doctrine Collections
Collections abstraction library
Doctrine Collections is a library that contains classes for working with arrays of data. Doctrine Collections provides an interface named Doctrine\Common\Collections\Collection that resembles the nature of a regular PHP array. That is, it is essentially an ordered map that can also be used like a list. A Collection has an internal iterator just like a PHP array. In addition, a Collection can be iterated with external iterators, which is preferable. To use an external iterator simply use the foreach language construct to iterate over the collection, which calls getIterator() internally, or explicitly retrieve an iterator though getIterator() which can then be used to iterate over the collection. ... -
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MedicalGPT
MedicalGPT: Training Your Own Medical GPT Model with ChatGPT Training
MedicalGPT training medical GPT model with ChatGPT training pipeline, implementation of Pretraining, Supervised Finetuning, Reward Modeling and Reinforcement Learning. MedicalGPT trains large medical models, including secondary pre-training, supervised fine-tuning, reward modeling, and reinforcement learning training. -
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ai-renamer
A Node.js CLI that uses Ollama and LM Studio models
ai-renamer is a Node.js-based command-line tool that uses large language models to automatically rename files based on their content, enabling more meaningful and organized file management. Instead of relying on manual naming or metadata, the tool analyzes the actual content of files, including images, videos, and documents, to generate descriptive and context-aware filenames. It integrates with local and cloud-based AI providers such as Ollama, LM Studio, and OpenAI, allowing users to... -
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Colab-MCP
An MCP server for interacting with Google Colab
...This approach bridges the gap between local AI agents and remote high-performance compute environments, allowing users to offload heavy workloads such as machine learning training, data analysis, and dependency-heavy tasks to Colab’s GPU and TPU resources. By exposing Colab as an MCP server, the tool enables seamless integration with a wide range of AI assistants and agent frameworks, creating a standardized interface for tool use and execution. -
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Shadcn UI v4 MCP Server
A mcp server to allow LLMS gain context about shadcn ui component
Shadcn UI v4 MCP Server is a Model Context Protocol server that enables AI assistants to access, retrieve, and utilize shadcn/ui component libraries within development workflows, effectively bridging UI component systems with AI-driven coding tools. It provides structured access to component source code, demos, metadata, and reusable UI blocks, allowing AI agents to generate accurate and production-ready interface implementations. The server supports multiple frontend frameworks including React, Svelte, Vue, and React Native, making it highly versatile for cross-platform development. It includes smart caching and efficient GitHub API usage to optimize performance and handle rate limits during component retrieval. The system also supports multiple transport modes such as standard input/output and Server-Sent Events, enabling both local and distributed deployments. -
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ToolUniverse
Democratizing AI scientists with ToolUniverse
...Instead of requiring custom pipelines or fine-tuning, ToolUniverse wraps around existing models and enables them to reason, experiment, and iterate on complex workflows such as drug discovery, data analysis, and hypothesis testing. The platform abstracts tool usage behind a consistent interface, allowing AI agents to compose multi-step workflows, refine tool definitions automatically, and even generate new tools from natural language descriptions. -
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Bear Stone Smart Home
Custom Home Assistant configuration with automations and scripts setup
...Bear Stone Smart Home also showcases custom automations and scripts designed to improve convenience, energy efficiency, and overall smart home behavior. Additionally, it may include examples of dashboards and user interface customization to enhance usability and visualization of home data. Overall, it serves as a practical reference for building and refining a tailored Home Assistant setup. -
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Qodo Cover
AI tool that generates tests to improve code coverage quickly
Qodo Cover is an open source developer tool designed to automate the creation of unit tests using generative AI, helping teams improve code coverage with minimal manual effort. It operates as a command-line interface and can also be integrated into continuous integration workflows, making it adaptable to different development environments. It analyzes an existing codebase, identifies gaps in test coverage, and generates new tests that target uncovered or weakly tested areas. It follows an iterative workflow where generated tests are executed, validated, and refined to ensure they contribute meaningful coverage improvements. ... -
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DeepReasoning
High-performance API combining reasoning and creative AI models
...It combines DeepSeek R1’s chain-of-thought reasoning with Claude’s strengths in code generation and conversational output, enabling more capable and balanced responses. DeepReasoning provides both an API and a chat interface, allowing developers and users to interact with the combined models in a streamlined way. It emphasizes real-time streaming responses, where reasoning and final answers can be delivered efficiently in a single flow. Built with Rust, the backend focuses on performance, low latency, and efficient resource usage for demanding workloads. ... -
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Text2Code for Jupyter notebook
A proof-of-concept jupyter extension which converts english queries
Text2Code for Jupyter notebook project is a proof-of-concept extension for Jupyter Notebook that allows users to generate Python code directly from natural language queries written in English. The tool is designed to simplify data analysis workflows by enabling users to describe their intended operation in plain language instead of manually writing code. When a user enters a textual command, the extension interprets the request and generates a corresponding Python code snippet that can be... -
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LEANN
Local RAG engine for private multimodal knowledge search on devices
LEANN is an open source system designed to enable retrieval-augmented generation (RAG) and semantic search across personal data while running entirely on local devices. It focuses on dramatically reducing the storage overhead typically required for vector search and embedding indexes, enabling efficient large-scale knowledge retrieval on consumer hardware. LEANN introduces a storage-efficient approximate nearest neighbor index combined with on-the-fly embedding recomputation to avoid storing... -
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shimmy
Python-free Rust inference server
The shimmy project is a lightweight local inference server designed to run large language models with minimal overhead. Written primarily in Rust, the tool provides a small standalone binary that exposes an API compatible with the OpenAI interface, allowing existing applications to interact with local models without significant code changes. This compatibility enables developers to replace remote AI services with locally hosted models while keeping their existing software architecture intact. Shimmy focuses on performance and simplicity, using efficient runtime components to minimize memory usage and startup time compared to heavier inference frameworks. ... -
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newspaper4k
Python library for scraping and analyzing online news articles easily
Newspaper4k is a Python library designed for extracting, processing, and analyzing news articles from websites. It is a continuation and active fork of the original newspaper3k library, which had stopped receiving updates, with the goal of keeping the ecosystem maintained while adding improvements and bug fixes. It provides developers with tools to automatically download web pages, extract the main article content, and collect associated metadata such as titles, authors, images, and... -
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AI Deadlines
AI conference deadline countdowns
AI Deadlines is an open-source project that provides a centralized system for tracking important submission deadlines for major artificial intelligence and machine learning conferences. The repository powers a website that displays countdown timers and structured information for top research conferences across subfields such as computer vision, natural language processing, machine learning, and robotics. The project maintains a curated dataset of conferences that includes metadata such as... -
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OpenOutreach
Linkedin Automation Tool
OpenOutreach is a self-hosted, open-source LinkedIn automation platform built for B2B lead generation and outbound prospecting. Instead of requiring a prebuilt contact list, it starts from a product description and target market definition, then uses AI to discover and prioritize likely leads on LinkedIn. The system generates search queries, evaluates candidate profiles, and learns over time which contacts best match the ideal customer profile. According to the repository, it combines large... -
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Sage Chat
Chat with any codebase in under two minutes | Fully local
Sage is an open-source AI developer assistant designed to help engineers understand and work with complex codebases more effectively. The tool functions similarly to an intelligent research agent that can analyze a repository and answer questions about how the software works. Instead of focusing solely on code generation, Sage emphasizes code comprehension, system architecture analysis, and integration guidance. Developers can ask natural language questions about a project, and the system...
