Popular GitHub Repositories for Huawei Ghostnet

Efficient AI Backbones including GhostNet, TNT and MLP, developed by Huawei Noah's Ark Lab.

Pretrained language model and its related optimization techniques developed by Huawei Noah's Ark Lab.

☔ 敏捷开发最强大易用的接口工具，机器学习零代码测试与 AI 问答、生成代码与静态检查、生成文档与光标悬浮注释，腾讯、华为、SHEIN、传音、工行等使用 ☔ The most advanced tool for HTTP API. Machine learning no-code testing and AI assistant, generating codes and static analysis, generating comments and floating hints. Used by Tencent, Huawei, SHEIN, TRANSSION, ICBC, etc.

MobileNetV2-YoloV3-Nano: 0.5BFlops 3MB HUAWEI P40: 6ms/img, YoloFace-500k:0.1Bflops 420KB:fire::fire::fire:

The implementation of various lightweight networks by using PyTorch. such as：MobileNetV2，MobileNeXt，GhostNet，ParNet，MobileViT、AdderNet，ShuffleNetV1-V2，LCNet，ConvNeXt，etc. ?????

Keras beit,caformer,CMT,CoAtNet,convnext,davit,dino,efficientdet,edgenext,efficientformer,efficientnet,eva,fasternet,fastervit,fastvit,flexivit,gcvit,ghostnet,gpvit,hornet,hiera,iformer,inceptionnext,lcnet,levit,maxvit,mobilevit,moganet,nat,nfnets,pvt,swin,tinynet,tinyvit,uniformer,volo,vanillanet,yolor,yolov7,yolov8,yolox,gpt2,llama2, alias kecam

This is the main repository of open-sourced speech technology by Huawei Noah's Ark Lab.

Model Compression—YOLOv3 with multi lightweight backbones(ShuffleNetV2 HuaWei GhostNet), attention, prune and quantization

face recognition training project(pytorch)

HMS ML Demo provides an example of integrating Huawei ML Kit service into applications. This example demonstrates how to integrate services provided by ML Kit, such as face detection, text recognition, image segmentation, asr, and tts.

Diffusion Singing Voice Conversion based on Grad-TTS from HuaWei

QuarkDet lightweight object detection in PyTorch .Real-Time Object Detection on Mobile Devices.

HUAWEI HMS meachine learning services demo apk download.

Huawei Grad-TTS for Chinese

This is a lightweight GAN developed for real-time deblurring. The model has a super tiny size and a rapid inference time. The motivation is to boost marker detection in robotic applications, however, you may use it for other applications definitely.

[Paper][ICDE 2023] Tele-Knowledge Pre-training for Fault Analysis

Progressive Image Inpainting (Kolmogorov Team solution for Huawei Hackathon 2019 summer)

5th Place Solution to HUAWEI PRCV Challenge 2021 Alzheimer's Disease Classification Task

Open Source Face Liveness detection using Huawei ML Kit (Anti-Spoofing)

Learning Mobility-Related Human Activities from Sensor-Rich Environments