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.

This is a midterm assignment for the Introduction to Artificial Intelligence course at YNU.

Circle detection model trained from scratch using Shufflenet, Adam optimizer, MSE loss, and IoU (0.5, 0.5-0.95) for evaluation, with 10k/1k/2k train/val/test split, leveraging "reduce lr on plateau" and "early stopping," while pretrained models and augmentation proved less effective.

Skin Cancer Detection: Leveraging Hybrid Deep Learning Models and Traditional Machine Learning Classifiers

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

PyTorch implementations of image classification networks

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

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

A project based on deep learning and camera coordinate transformation to achieve human-computer interaction

Multi image label classification by multi models.

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.

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.

A semester project using ShuffleNet, MobileNetV3 Small & ResNet50 to classify real and fake faces with the specified dataset that taken from Kaggle.

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

Image Classification Training Framework for Network Distillation

Implementation of ShuffleNet V2 architecture