MLModelCamera使用拖放功能将.mlmodel文件作为实时图像分级应用进行测试 https://github.com/shu223/MLModelCamera
在macOS 10.14 Beta上运行iOSMac应用程序的工具 https://github.com/zhuowei/MarzipanTool
AR相册 Photo Album For AR https://github.com/SherlockQi/HeavenMemoirs
30 个小型 Swift Apps,可以用来上手学习、练习移动开发 https://github.com/soapyigu/Swift-30-Projects
关于 iOS 性能优化梳理 https://github.com/skyming/iOS-Performance-Optimization
gifski-app:Gifski这个开源程序可以将一系列图片或一段视频转化为高质量的gif https://github.com/sindresorhus/gifski-app
iOS开发者工具集锦 https://github.com/LeoMobileDeveloper/ios-developer-tools
Gitter for GitHub - 可能是目前颜值最高的GitHub小程序客户端 https://github.com/huangjianke/Gitter
A PyTorch implementation of Pelee: A Real-Time Object Detection System on Mobile Devices https://github.com/yxlijun/Pelee.Pytorch
https://github.com/sercant/mobile-segmentation
This repo contains the official Pytorch reimplementation of the paper "NetAdapt: Platform-Aware Neural Network Adaptation for Mobile Applications". https://github.com/denru01/netadapt
https://github.com/FORTH-ModelBasedTracker/MonocularRGB_2D_Handjoints_MVA19
'MNNKit - 基于端上推理引擎MNN提供的系列应用层解决方案,主要面向Android/iOS移动应用开发者’ https://github.com/alibaba/MNNKit
用Fritz在手机上训练、部署多种机器学习模型 https://github.com/fritzlabs/fritz-models
【基于Core ML的iOS深度预测Demo】 https://github.com/tucan9389/DepthPrediction-CoreML
【SwiftUI/PyTorch Mobile手机端机器学习实例】 https://medium.com/flawless-app-stories/on-device-machine-learning-with-swiftui-and-pytorch-mobile-aa0dcec5d881
Android 进阶路线知识图谱 + 干货资料收集 https://github.com/feelschaotic/AndroidKnowledgeSystem
'awesome-wepy - 微信小程序组件化开发框架wepy开发资源汇总' https://github.com/aben1188/awesome-wepy
【Pyto:iOS上的Python开发环境】 https://github.com/ColdGrub1384/Pyto
PyTorch iOS examples https://github.com/pytorch/ios-demo-app
iPhone手机上的ESPNetv2实时语义分割 https://github.com/sacmehta/ESPNetv2-COREML
【手机端机器学习:你能用它做什么?】 https://pan.baidu.com/s/1s-BI3M9zVbcM5hKtI1iWXQ
https://pytorch.org/mobile/home/
Mobile AI Compute Engine Model Zoo https://github.com/XiaoMi/mace-models
深度学习移动端车型识别,支持1776种常见车辆品牌及子品牌 https://github.com/zeusees/HyperVID
Accelerate Pelee with tensorRT(over 200FPS(5ms) on Titan V and 70FPS(11ms) on jetson TX2(FP32)) https://github.com/ginn24/Pelee-TensorRT
移动设备神经网络推理性能端到端测试工具 https://github.com/XiaoMi/mobile-ai-bench
移动设备高性能实时网络/语义分割文献资源列表 https://github.com/wpf535236337/real-time-network
用 Swift 从头开始搭建/训练 XResNet https://nbviewer.jupyter.org/github/jamesdellinger/fastai_deep_learning_course_part2_v3/blob/master/13_swift_resnet_pipeline_s4tf_v04_my_reimplementation.ipynb?flush_cache=true
一款可以用电脑显示并控制 Android 手机的开源工具。连接方便使用方便,手机无需 root、无需安装任何应用。支持 USB、Wi-Fi 两种方式连接,支持 Windows、macOS、Linux 三种操作系统。注意电脑端需要安装 adb 工具
https://github.com/Genymobile/scrcpy
SwiftAI - Swift for TensorFlow's high-level API, modeled after fastai https://github.com/fastai/swiftai
https://github.com/aidlearning/AidLearning-FrameWork
https://github.com/edvardHua/PoseEstimationForMobile
(iOS、安卓和边缘设备)移动机器学习资源精选列表 https://github.com/fritzlabs/Awesome-Mobile-Machine-Learning
[ECCV 2018] Compressed models from AMC: AutoML for Model Compression and Acceleration on Mobile Devices. https://github.com/mit-han-lab/amc-compressed-models
Core ML实现的人体姿态估计 https://github.com/tucan9389/PoseEstimation-CoreML
手机端人脸识别方案 https://github.com/becauseofAI/MobileFace
Towards Real-Time Automatic Portrait Matting on Mobile Devices https://github.com/hyperconnect/MMNet
https://github.com/HolmesShuan/CNN-Inference-Engine-Quick-View
iOS机器学习挑战项目大列表 https://github.com/motlabs/awesome-ml-demos-with-ios