Various codes and scripts used during AI research, all neatly organised
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Updated
May 21, 2024 - Python
Various codes and scripts used during AI research, all neatly organised
Optimizing DNN Operators on Mobile GPUs
A notebook to learn the use of CNNs and ShuffleNet
Project Land Cover Classification using ShuffleNetV2
Implement deep learning model used pytorch for serving
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.
AI Track's Exercise to create a basic CNN to recognize different animals from the Chinese Zodiac
Implement deep learning model used pytorch for serving
Build AI model to classify beverages for blind individuals
Tensorrt implementation of face key points
ShuffleNet_V2 for ncnn framework
a tensorflow based implementation of ShuffleNetV2 on the Tiny ImageNet dataset
Implementation of MobileNet, MobileNetv2, ShuffleNet, ShuffleNetv2, EfficientNet in Pytorch.
implement the shufflenetv2, and test the performance
A PyTorch Implementation of ShuffleFaceNet.
VoVNet, MobileNet, ShuffleNet, HarDNet, GhostNet, EfficientNet backbone networks and SKU-110K dataset for detectron2
Train/Eval the popular network by TF-Slim,include mobilenet/shufflenet/squeezenet/resnet/inception/vgg/alexnet
Real-time fire detection in image/video/webcam using a convolutional neural network (deep learning) - from our ICMLA 2020 paper (Thomson / Bhowmik / Breckon)
Tensorflow ShuffleNet v2 implementation
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