Popular GitHub Repositories for Mobile Net

The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (ViT), MobileNetV4, MobileNet-V3 & V2, RegNet, DPN, CSPNet, Swin Transformer, MaxViT, CoAtNet, ConvNeXt, and more

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

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

PyTorch implementation of the U-Net for image semantic segmentation with high quality images

The code for our newly accepted paper in Pattern Recognition 2020: "U^2-Net: Going Deeper with Nested U-Structure for Salient Object Detection."

? 全网效果最好的移动端【实时对话数字人】。 支持本地部署、多模态交互（语音、文本、表情），响应速度低于 1.5 秒，适用于直播、教学、客服、金融、政务等对隐私与实时性要求极高的场景。开箱即用，开发者友好。

H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Linear Modeling (GLM with Elastic Net), K-Means, PCA, Generalized Additive Models (GAM), RuleFit, Support Vector Machine (SVM), Stacked Ensembles, Automatic Machine Learning (AutoML), etc.

PaddlePaddle High Performance Deep Learning Inference Engine for Mobile and Edge (飞桨高性能深度学习端侧推理引擎）

A Neural Net Training Interface on TensorFlow, with focus on speed + flexibility

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

AI wearables. Put it on, speak, transcribe, automatically

MACE is a deep learning inference framework optimized for mobile heterogeneous computing platforms.

Samples for ML.NET, an open source and cross-platform machine learning framework for .NET.

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.

The project is an official implementation of our CVPR2019 paper "Deep High-Resolution Representation Learning for Human Pose Estimation"

:stuck_out_tongue_closed_eyes: TensorFlowTTS: Real-Time State-of-the-art Speech Synthesis for Tensorflow 2 (supported including English, French, Korean, Chinese, German and Easy to adapt for other languages)

Text recognition (optical character recognition) with deep learning methods, ICCV 2019

A Tensorflow implementation of CapsNet(Capsules Net) in paper Dynamic Routing Between Capsules

Run PyTorch LLMs locally on servers, desktop and mobile

Imitation learning algorithms with Co-training for Mobile ALOHA: ACT, Diffusion Policy, VINN