Stars
🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.
XLNet: Generalized Autoregressive Pretraining for Language Understanding
A simple, fully convolutional model for real-time instance segmentation.
Joint 3D Face Reconstruction and Dense Alignment with Position Map Regression Network (ECCV 2018)
A LITE BERT FOR SELF-SUPERVISED LEARNING OF LANGUAGE REPRESENTATIONS, 海量中文预训练ALBERT模型
Semantic Segmentation on PyTorch (include FCN, PSPNet, Deeplabv3, Deeplabv3+, DANet, DenseASPP, BiSeNet, EncNet, DUNet, ICNet, ENet, OCNet, CCNet, PSANet, CGNet, ESPNet, LEDNet, DFANet)
Easy benchmarking of all publicly accessible implementations of convnets
中文语音识别; Mandarin Automatic Speech Recognition;
Single/multi view image(s) to voxel reconstruction using a recurrent neural network
LightNet: Light-weight Networks for Semantic Image Segmentation (Cityscapes and Mapillary Vistas Dataset)
CondenseNet: Light weighted CNN for mobile devices
Implementation of PFLD A Practical Facial Landmark Detector , reference to https://arxiv.org/pdf/1902.10859.pdf
Practise of DeepID for Face Classification
🔥improve the accuracy of mobilefacenet(insight face) reached 99.733 in the cfp-ff、 the 99.68+ in lfw,96.71+ in agedb30.🔥
This repository contains the source code of our work on designing efficient CNNs for computer vision
Lightweight models for real-time semantic segmentation(include mobilenetv1-v3, shufflenetv1-v2, igcv3, efficientnet).
A PyTorch implementation of Mnasnet: MnasNet: Platform-Aware Neural Architecture Search for Mobile.
cascaded convolutional neural network for facial point detection
Face verify using Joint Bayesian, implemented by Python
Face Alignment by Mobilenetv2
Simple object detection in YouTube videos, using Caffe
Joint Cascade Face Detection and Alignment
MobileNetV3 for Semantic Segmentation.
Accelerated Training for Massive Classification via Dynamic Class Selection (AAAI 2018, Oral)