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

Leaf Disease multi-class image classification using deep learning architectures implemented in PyTorch

Building a lightweight CNN using the ShuffleNet V2 architecture to estimate object sizes.

A notebook to learn the use of CNNs and ShuffleNet

Face recognition in PyTorch.

Project Land Cover Classification using ShuffleNetV2

Image Classification with On-Device Inference, built with Flutter, AI model runs on mobile cpu

Implement deep learning model used pytorch for serving

Lightweight deep learning approach for IoT malware detection achieving 95.15% F1-score. Compares CNN, MobileNetV3, and ShuffleNetV2 on network traffic visualization with SMOTE-balanced dataset (9 malware classes + benign).

Implement deep learning model used pytorch for serving

Optimizing DNN Operators on Mobile GPUs

AI Track's Exercise to create a basic CNN to recognize different animals from the Chinese Zodiac

This is a project focused on identifying the presence of pneumonia in chest X-ray images. Each image can be classified into one of three categories: Bacterial Pneumonia, Viral Pneumonia, or Normal.

[yolov5 v7.0][WIDER FACE][ECCV 2022]YOLO5Face: Why Reinventing a Face Detector

Build AI model to classify beverages for blind individuals

A replication of "Global Perception-Based Robust Parking Space Detection Using a Low-Cost Camera"

Tensorrt implementation of face key points

A multi task neural network implemented from scratch, performing object detection with SSD and semantic segmentation with DeeplabV3+ simultaneosly!

ShuffleNet_V2 for ncnn framework

a tensorflow based implementation of ShuffleNetV2 on the Tiny ImageNet dataset