Composio powers 1000+ toolkits, tool search, context management, authentication, and a sandboxed workbench to help you build AI agents that turn intent into action.

IntentKit is an open-source, self-hosted cloud agent cluster that manages a collaborative team of AI agents for you.

A Model-View-Presenter / Model-View-Intent library for modern Android apps

WireHole is a combination of WireGuard, Pi-hole, and Unbound in a docker-compose project with the intent of enabling users to quickly and easily create a personally managed full or split-tunnel WireGuard VPN with ad blocking capabilities thanks to Pi-hole, and DNS caching, additional privacy options, and upstream providers via Unbound.

Social share, sending simple data to other apps.

A framework for prompt tuning using Intent-based Prompt Calibration

머신러닝 입문자 혹은 스터디를 준비하시는 분들에게 도움이 되고자 만든 repository입니다. (This repository is intented for helping whom are interested in machine learning study)

🔥call app from h5（H5唤起客户端 ）

Creating this repo with an intent to make Kubernetes easy for begineers. This is a work-in-progress repo.

Cheat Sheet for Android Interviews

Intent UI is a chill set of React components, built on top of React Aria Components and Tailwind CSS. Easy to customize and just copy & paste into your React projects.

An easier way to handle third-party URL schemes in iOS apps.

Icons that move with intent

Lightweight JavaScript library that predicts user intent based on mouse movements and keyboard navigation. Perfect for smart prefetching. Also works for mobile!

Declarative Intent Driven Platform Orchestrator for Internal Developer Platform (IDP).

Extras binding and intent builders for Android apps.

Avoid The One-off Problem, Infinite Loops, Statefulness and Hidden intent.

A library for intentionally dealing with responsive design

A demo project showing different types of Widgets created with SwiftUI and WidgetKit.

Command-line tools for speech and intent recognition on Linux

Machine Learning tutorials with TensorFlow 2 and Keras in Python (Jupyter notebooks included) - (LSTMs, Hyperameter tuning, Data preprocessing, Bias-variance tradeoff, Anomaly Detection, Autoencoders, Time Series Forecasting, Object Detection, Sentiment Analysis, Intent Recognition with BERT)

A fork of our clean architecture boilerplate using the Model-View-Intent pattern

A practical and feature-rich paraphrasing framework to augment human intents in text form to build robust NLU models for conversational engines. Created by Prithiviraj Damodaran. Open to pull requests and other forms of collaboration.

The Intent Framework

An end-to-end implementation of intent prediction with Metaflow and other cool tools

hoverIntent jQuery Plug-in

🔥 launch app from web page（调起app、调用端能力、下载app、环境判断、复制）

This sample has the full End2End process of creating RAG application with Prompty and Azure AI Foundry. It includes GPT-4 LLM application code, evaluations, deployment automation with AZD CLI, GitHub actions for evaluation and deployment and intent mapping for multiple LLM task mapping.

Pytorch implementation of JointBERT: "BERT for Joint Intent Classification and Slot Filling"

Adapt Intent Parser