A python library built to empower developers to build applications and systems with self-contained Computer Vision capabilities
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Updated
May 3, 2024 - Python
A python library built to empower developers to build applications and systems with self-contained Computer Vision capabilities
Implementation of SqueezeNet: AlexNet-level accuracy with 50x fewer parameters and <0.5MB model size by Forrest N. Iandola, Song Han, Matthew W. Moskewicz, Khalid Ashraf, William J. Dally, Kurt Keutzer.
Practice on cifar100(ResNet, DenseNet, VGG, GoogleNet, InceptionV3, InceptionV4, Inception-ResNetv2, Xception, Resnet In Resnet, ResNext,ShuffleNet, ShuffleNetv2, MobileNet, MobileNetv2, SqueezeNet, NasNet, Residual Attention Network, SENet, WideResNet)
I am aiming to write different Semantic Segmentation models from scratch with different pretrained backbones.
Benchmarking various Computer Vision models on TinyImageNet Dataset
Attention Squeeze U-Net
SqueezeNet implementation with Keras Framework
Machine learning project for Computer science (University of Catania)
Skin cancer classification in pytorch using CNN
Image Classification Training Framework for Network Distillation
Implemented the training and inference of several common deep learning model algorithms with tensorflow and pytorch.
A tensorflow2 implementation of some basic CNNs(MobileNetV1/V2/V3, EfficientNet, ResNeXt, InceptionV4, InceptionResNetV1/V2, SENet, SqueezeNet, DenseNet, ShuffleNetV2, ResNet).
Dopamine: Differentially Private Federated Learning on Medical Data (AAAI - PPAI)
Python program allowing to control mouse by performing hand gestures captured by a webcam.
Easy to use, popular computer vision layers' implementations with customizable parameters
Run the training code and then the Inference code to check the model on saved weights.
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