Popular GitHub Repositories for Virtual Devices

DeepSpeech is an open source embedded (offline, on-device) speech-to-text engine which can run in real time on devices ranging from a Raspberry Pi 4 to high power GPU servers.

? Leon is your open-source personal assistant.

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)

Alluxio, data orchestration for analytics and machine learning in the cloud

Translate darknet to tensorflow. Load trained weights, retrain/fine-tune using tensorflow, export constant graph def to mobile devices

TNN: developed by Tencent Youtu Lab and Guangying Lab, a uniform deep learning inference framework for mobile、desktop and server. TNN is distinguished by several outstanding features, including its cross-platform capability, high performance, model compression and code pruning. Based on ncnn and Rapidnet, TNN further strengthens the support and performance optimization for mobile devices, and also draws on the advantages of good extensibility and high performance from existed open source efforts. TNN has been deployed in multiple Apps from Tencent, such as Mobile QQ, Weishi, Pitu, etc. Contributions are welcome to work in collaborative with us and make TNN a better framework.

An open source AI wearable device that captures what you say and hear in the real world and then transcribes and stores it on your own server. You can then chat with Adeus using the app, and it will have all the right context about what you want to talk about - a truly personalized, personal AI.

A curated list of awesome research papers, projects, code, dataset, workshops etc. related to virtual try-on.

MuseV: Infinite-length and High Fidelity Virtual Human Video Generation with Visual Conditioned Parallel Denoising

Enabling PyTorch on XLA Devices (e.g. Google TPU)

VirtualWife是一个虚拟数字人项目，支持B站直播，支持openai、ollama

Connect home devices into a powerful cluster to accelerate LLM inference. More devices means faster inference.

UnrealCV: Connecting Computer Vision to Unreal Engine

[CVPR'22] ICON: Implicit Clothed humans Obtained from Normals

This repository provides code for machine learning algorithms for edge devices developed at Microsoft Research India.

Hardware for SUSI AI https://susi.ai

Deep learning gateway on Raspberry Pi and other edge devices

the open-source virtual assistant for Ubuntu based Linux distributions

A fast, ergonomic and portable tensor library in Nim with a deep learning focus for CPU, GPU and embedded devices via OpenMP, Cuda and OpenCL backends

A project for processing neural networks and rendering to gain insights on the architecture and parameters of a model through a decluttered representation.