Search Results for "interface" - Page 12
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Showing 1024 open source projects for "interface"
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Stop Cyber Threats with VM-Series Next-Gen Firewall on AzureGain integrated visibility across all traffic in a single pass. Deploy Palo Alto Networks VM-Series to determine application identity and content while automating security policy updates via rich APIs.
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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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draw-a-ui
Draw wireframe sketches and generate HTML with AI vision models
...The result is an automated design-to-code workflow where rough interface ideas can quickly become functional web layouts. It is implemented as a modern web application built with Next.js and TypeScript and requires a compatible Node.js runtime to run locally. It is designed primarily as a demonstration of AI-assisted UI generation rather than a production-ready platform. -
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AutoTrain Advanced
Faster and easier training and deployments
AutoTrain Advanced is an open-source machine learning training framework developed by Hugging Face that simplifies the process of training and fine-tuning state-of-the-art AI models. The project provides a no-code and low-code interface that allows users to train models using custom datasets without needing extensive expertise in machine learning engineering. It supports a wide range of tasks including text classification, sequence-to-sequence modeling, token classification, sentence embedding training, and large language model fine-tuning. The system integrates closely with the Hugging Face ecosystem and allows developers to train models using datasets hosted on the Hugging Face Hub. ... -
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SGR Agent Core
Schema-Guided Reasoning (SGR) has agentic system design
...This architecture enables agents to follow structured reasoning workflows while still benefiting from the flexibility of large language models. The framework includes a BaseAgent interface and a two-phase architecture that separates reasoning planning from execution, allowing developers to implement custom agent behaviors and research pipelines. -
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SearChat
Search + Chat = SearChat(AI Chat with Search)
...Built using a modern monorepo architecture, the system includes a Node.js and Koa backend alongside a Vue 3 and TypeScript frontend that delivers a responsive chat interface. The platform supports multiple AI providers, allowing developers to connect models from providers such as OpenAI, Anthropic, or Google Gemini to generate contextual responses. It can integrate with several search engines including Bing, Google, and SearXNG to retrieve external information that the language model then analyzes and summarizes. -
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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MCP Router
A Unified MCP Server Management App (MCP Manager)
MCP Router is an open-source management platform designed to simplify the deployment and coordination of Model Context Protocol (MCP) servers used by AI agents. MCP is an emerging standard that allows language models and AI assistants to connect to external tools, data sources, and services through a structured interface. The MCP Router project acts as a centralized manager that helps developers run, configure, and coordinate multiple MCP servers within a single environment. This enables AI applications to access multiple tools and knowledge sources through a unified interface rather than connecting to each service individually. The project provides infrastructure for routing requests between clients and MCP servers, enabling scalable multi-tool agent systems. ... -
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II Agent
A new open-source framework to build and deploy intelligent agents
...The platform allows users to interact with multiple AI models within a single environment while connecting those models to external services and knowledge sources. Through a unified interface, users can switch between models, access specialized tools, and execute tasks that require information retrieval, code execution, or file analysis. The architecture focuses on transforming traditional software tools into autonomous assistants capable of completing tasks independently based on user instructions. II-Agent supports integration with modern AI services and can coordinate interactions between different models and capabilities within the same workflow. -
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DocETL
A system for agentic LLM-powered data processing and ETL
...Instead of relying on single prompts or ad-hoc scripts, DocETL provides a declarative pipeline framework that breaks complex document analysis tasks into manageable operations that can be optimized and orchestrated automatically. Pipelines are typically defined using a low-code YAML interface, giving users full control over prompts and processing steps while still simplifying workflow creation. -
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Lingvo
Framework for building neural networks
...It was originally developed for internal research and later open sourced to support reproducible experiments and shared model implementations. The framework provides a structured way to define models, input pipelines, and training configurations using a common interface for layers, which encourages reuse across different tasks. It has been used to implement state of the art architectures such as recurrent neural networks, Transformer models, variational autoencoder hybrids, and multi task systems. Lingvo includes reference models and configurations for domains like machine translation, automatic speech recognition, language modeling, image understanding, and 3D object detection. ... -
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Kodu
Kodu is an autonomous coding agent that lives in your IDE
...It provides conversational and in-line code assistance, helping developers write, refactor, and debug code through context-aware interactions. The system runs through a local interface or within VS Code and other editors, maintaining privacy by keeping context on-device when possible. Claude Coder supports large-context interactions, enabling the AI to process entire repositories or multi-file structures rather than isolated snippets. It includes conversation history, diff previews, and code-generation templates for repetitive tasks. ... -
$300 Free Credits to Build on Google CloudStart your next project with $300 in free Google Cloud credit. Spin up VMs, run containers, query petabytes in BigQuery, or build agents with Gemini Enterprise Agent Platform. Once your credits are used, keep building with 20+ always-free tier products including Compute Engine, Cloud Storage, GKE, and Cloud Run functions. No commitment required—just sign up and start building.
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MCP Hub
An MCP client for Neovim that seamlessly integrates MCP servers
...An MCP client for Neovim that seamlessly integrates MCP servers into your editing workflow with an intuitive interface for managing, testing, and using MCP servers with your favorite chat plugins. -
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Substra
Low-level Python library used to interact with a Substra network
An open-source framework supporting privacy-preserving, traceable federated learning and machine learning orchestration. Offers a Python SDK, high-level FL library (SubstraFL), and web UI to define datasets, models, tasks, and orchestrate secure, auditable collaborations. -
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Resume-Matcher
Improve your resumes with Resume Matcher
Resume-Matcher is a command-line application that compares resumes against job descriptions using natural language processing. It provides a compatibility score based on keyword relevance and highlights areas where the resume aligns—or doesn't—with the target role. Designed for job seekers and HR professionals, it helps improve resume tailoring and streamlines candidate screening. -
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MCP JetBrains
A model context protocol server to work with JetBrains IDEs
The JetBrains MCP Server is a Model Context Protocol (MCP) server designed to integrate seamlessly with JetBrains IDEs such as IntelliJ, PyCharm, WebStorm, and Android Studio. It facilitates enhanced communication between Large Language Models (LLMs) and the development environment, enabling AI-driven code assistance and automation. -
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Gateway AI
The only fully local production-grade Super SDK
Adaline Gateway is a fully local, production-grade Super SDK that provides a simple, unified, and powerful interface for calling more than 200+ large language models (LLMs). -
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DeepCTR
Package of deep-learning based CTR models
DeepCTR is a Easy-to-use,Modular and Extendible package of deep-learning based CTR models along with lots of core components layers which can be used to easily build custom models. You can use any complex model with model.fit(), and model.predict(). Provide tf.keras.Model like interface for quick experiment. Provide tensorflow estimator interface for large scale data and distributed training. It is compatible with both tf 1.x and tf 2.x. With the great success of deep learning,DNN-based techniques have been widely used in CTR prediction task. The data in CTR estimation task usually includes high sparse,high cardinality categorical features and some dense numerical features. ... -
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Copilot for Obsidian
AI assistant plugin that brings chat, search, and agents to Obsidian
Obsidian Copilot is an open source plugin that integrates AI-powered assistance directly into the Obsidian note-taking environment. It enables users to interact with their notes through conversational chat, allowing them to ask questions, summarize information, and generate new content using large language models. It works inside a user’s vault and can analyze notes, documents, and other referenced materials to provide context-aware responses. It supports multiple AI providers and models,... -
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MimiClaw
Run OpenClaw on a $5 chip
MimiClaw (from the mimiclaw project) is an edge-AI personal assistant that runs directly on extremely low-cost hardware like an ESP32-S3 microcontroller without a full operating system, Node.js, or cloud backend. By running pure C on a bare-metal chip, MimiClaw brings AI interactions and persistent memory to a tiny USB-powered device you can carry in your pocket. You connect the device to Wi-Fi and chat with it using Telegram, making it a convenient always-on assistant for tasks like... -
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Anthropic SDK Python
Provides convenient access to the Anthropic REST API from any Python 3
The anthropic-sdk-python repository is the official Python client library for interacting with the Anthropic (Claude) REST API. It is designed to provide a user-friendly, type-safe, and asynchronous/synchronous capable interface for making chat/completion requests to models like Claude. The library includes definitions for all request and response parameters using Python typed objects, automatically handles serialization and deserialization, and wraps HTTP logic (timeouts, retries, error mapping) so that developers can call the API in a clean, high-level way. ... -
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TorchMetrics AI
Machine learning metrics for distributed, scalable PyTorch application
TorchMetrics is a collection of 100+ PyTorch metrics implementations and an easy-to-use API to create custom metrics. -
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Thinc
A refreshing functional take on deep learning
Thinc is a lightweight deep learning library that offers an elegant, type-checked, functional-programming API for composing models, with support for layers defined in other frameworks such as PyTorch, TensorFlow and MXNet. You can use Thinc as an interface layer, a standalone toolkit or a flexible way to develop new models. Previous versions of Thinc have been running quietly in production in thousands of companies, via both spaCy and Prodigy. We wrote the new version to let users compose, configure and deploy custom models built with their favorite framework. Switch between PyTorch, TensorFlow and MXNet models without changing your application, or even create mutant hybrids using zero-copy array interchange. ... -
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AWS Copilot CLI
The AWS Copilot CLI is a tool for developers to build, release apps
AWS Copilot is an open-source command-line interface that makes it easy for developers to build, release, and operate production-ready containerized applications on AWS App Runner, Amazon ECS, and AWS Fargate. Run a single command to quickly get started with a containerized application using best practices on AWS from a Dockerfile. Instead of modeling individual resources, Copilot provides common cloud architectures, request-driven web service, load-balanced web service, backend service, worker service, and scheduled job. ... -
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Desktop Commander MCP
AI-powered MCP server for desktop file and terminal automation
...It integrates with clients like Claude Desktop to enable AI-driven workflows such as editing files, executing commands, and automating development tasks from a single conversational interface. Desktop Commander MCP builds on top of an MCP filesystem server and enhances it with powerful search, replace, and code editing capabilities tailored for real-world development environments. It allows users to run terminal commands with streaming output, manage long-running processes, and even execute code in memory without saving files. ... -
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PilotDeck
Task-oriented AI Agent productivity platform
...The project is jointly developed by Tsinghua University THUNLP, ModelBest, OpenBMB, and AI9Stars. Its goal is to serve as a practical productivity platform for the agent era rather than a simple chat interface. PilotDeck organizes agent activities around work contexts, tasks, and repeatable workflows. It is especially relevant for users who want AI agents to handle general-purpose work in a more organized and persistent environment. -
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SGLang
SGLang is a fast serving framework for large language models
SGLang is a fast serving framework for large language models and vision language models. It makes your interaction with models faster and more controllable by co-designing the backend runtime and frontend language. -
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AutoBE
AI Vibe Coding Agent of TS backend server
AutoBE is an AI backend builder that turns natural-language requirements into a working TypeScript backend application. It analyzes what the user wants, creates specifications, designs database structure, defines API documentation, writes end-to-end tests, and generates implementation logic. The project is aimed at moving from prototype to production more quickly while keeping generated code buildable and verifiable. It uses an agentic workflow supported by compiler-friendly checks and test...
