AI Inference Toolkit
4.4k 2026-04-18
xlite-dev/lite.ai.toolkit
A lightweight C++ toolkit for deploying over 100 diverse AI models with multiple inference engines.
Core Features
Supports 100+ AI models including Detection, Segmentation, Face, and Stable-Diffusion.
Compatible with multiple inference engines like MNN, ONNX Runtime, and TensorRT.
Provides a simple and consistent C++ API for ease of use.
Designed with minimum dependencies for efficient deployment.
Supports both CPU and GPU devices on Linux.
Detailed Introduction
Lite.Ai.ToolKit is a powerful yet lightweight C++ toolkit designed for efficient deployment of a wide array of AI models. It integrates over 100 pre-trained models covering tasks such as object detection, face recognition, segmentation, and even Stable-Diffusion. The toolkit offers flexibility by supporting popular inference engines like MNN, ONNX Runtime, and TensorRT, enabling developers to choose the optimal backend for their specific hardware (CPU/GPU) and performance requirements. Its user-friendly C++ API and minimal dependencies make it an ideal solution for integrating advanced AI capabilities into various applications.