Facebook AI Performance Evaluation Platform

A notebook to learn the use of CNNs and ShuffleNet

Implemented multiple face detection algorithms to accurately count and save recognized faces in a designated folder, enhancing detection accuracy. Integrated ShuffleNet and MTCNN successfully. Developed intelligent graphics for project analysis in Excel. Implemented facial recognition using PCA and Eigenfaces for dataset matching.

Single Shot MultiBox Detector in TensorFlow,Please pay attention to my branch about shufflenet-tensorflow.

Multi image label classification by multi models.

Various codes and scripts used during AI research, all neatly organised

Various codes and scripts used during AI research. Orginally developed in the Binary_label_predictions_with_CNNs repository

Implemented multiple face detection algorithms to accurately count and save recognized faces in a designated folder, enhancing detection accuracy. Integrated ShuffleNet and MTCNN successfully. Developed intelligent graphics for project analysis in Excel. Implemented facial recognition using PCA and Eigenfaces for dataset matching.

Architectures of convolutional neural networks for image classification in PyTorch

Implemented the training and inference of several common deep learning model algorithms with tensorflow and pytorch.

Image Classification Training Framework for Network Distillation

Shufflenet implementation in tensorflow based on https://arxiv.org/abs/1707.01083

Implementation of ShuffleNet V2 architecture

shufflenet implement by mxnet gluon.

Implementation of MobileNet, MobileNetv2, ShuffleNet, ShuffleNetv2, EfficientNet in Pytorch.

DenseShuffleNet for Semantic Segmentation using Caffe for Cityscapes and Mapillary Vistas Dataset

Models for Computer Vision

A collection of deep learning models (PyTorch implemtation)