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
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)
High level network definitions with pre-trained weights in TensorFlow
A tensorflow2 implementation of some basic CNNs(MobileNetV1/V2/V3, EfficientNet, ResNeXt, InceptionV4, InceptionResNetV1/V2, SENet, SqueezeNet, DenseNet, ShuffleNetV2, ResNet).
SqueezeNet implementation with Keras Framework
This implements training of popular model architectures, such as AlexNet, ResNet and VGG on the ImageNet dataset(Now we supported alexnet, vgg, resnet, squeezenet, densenet)
Pytorch Imagenet Models Example + Transfer Learning (and fine-tuning)
Implementation of Squeezenet in pytorch, pretrained models on Cifar 10 data to come
Mainly use SSD, YOLO and other models to solve the target detection problem in image and video !
SqueezeNet Keras demo
Train/Eval the popular network by TF-Slim,include mobilenet/shufflenet/squeezenet/resnet/inception/vgg/alexnet
Dopamine: Differentially Private Federated Learning on Medical Data (AAAI - PPAI)
DeepDetect performance sheet
A project developed and maintained as part of the aim at bringing current capabilities in machine learning and artificial intelligence into practical use for non-programmers and average computer users.
TensorFlow version of SqueezeNet with converted pretrained weights
Implementation of SqueezeNet with Keras and TensorFlow.
My PyTorch implementation of CNNs. All networks in this repository are using CIFAR-100 dataset for training.
low level tensorflow implementation of squeezenet
Attention Squeeze U-Net
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