Popular GitHub Repositories for Android Clean Architecture

? Light and Fast AI Assistant. Support: Web | iOS | MacOS | Android | Linux | Windows

Cross-platform, customizable ML solutions for live and streaming media.

ncnn is a high-performance neural network inference framework optimized for the mobile platform

Filament是一个实时物理渲染引擎，支持Android、iOS、Windows、Linux、macOS和WebGL2平台。

An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.

Offline speech recognition API for Android, iOS, Raspberry Pi and servers with Python, Java, C# and Node

MNN is a blazing fast, lightweight deep learning framework, battle-tested by business-critical use cases in Alibaba. Full multimodal LLM Android App:[MNN-LLM-Android](./apps/Android/MnnLlmChat/README.md)

fay是一个帮助数字人（2.5d、3d、移动、pc、网页）或大语言模型（openai兼容、deepseek）连通业务系统的agent框架。

Minimal and clean examples of machine learning algorithms implementations

AutoML library for deep learning

An open source implementation of Microsoft's VALL-E X zero-shot TTS model. Demo is available in https://plachtaa.github.io/vallex/

Implementation of RLHF (Reinforcement Learning with Human Feedback) on top of the PaLM architecture. Basically ChatGPT but with PaLM

A Collection of Variational Autoencoders (VAE) in PyTorch.

Speech-to-text, text-to-speech, speaker diarization, speech enhancement, and VAD using next-gen Kaldi with onnxruntime without Internet connection. Support embedded systems, Android, iOS, HarmonyOS, Raspberry Pi, RISC-V, x86_64 servers, websocket server/client, support 11 programming languages

Venom is a high-performance system developed with JavaScript to create a bot for WhatsApp, support for creating any interaction, such as customer service, media sending, sentence recognition based on artificial intelligence and all types of design architecture for WhatsApp.

Reliable LLM Memory for AI Applications and AI Agents

Flower: A Friendly Federated AI Framework

NanoDet-Plus?Super fast and lightweight anchor-free object detection model. ?Only 980 KB(int8) / 1.8MB (fp16) and run 97FPS on cellphone?

High Performance Chinese License Plate Recognition Framework.

Publication-ready NN-architecture schematics.