There are 1 repository under vgg topic.
Implementation of popular deep learning networks with TensorRT network definition API
Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network
Classification models trained on ImageNet. Keras.
An Implementation of Fully Convolutional Networks in Tensorflow.
High level network definitions with pre-trained weights in TensorFlow
Books, Presentations, Workshops, Notebook Labs, and Model Zoo for Software Engineers and Data Scientists wanting to learn the TF.Keras Machine Learning framework
Tutorials on how to implement a few key architectures for image classification using PyTorch and TorchVision.
Repository for Single Shot MultiBox Detector and its variants, implemented with pytorch, python3.
food image to recipe with deep convolutional neural networks.
Computer vision based ML training data generation tool :rocket:
仅使用numpy从头开始实现神经网络,包括反向传播公式推导过程; numpy构建全连接层、卷积层、池化层、Flatten层；以及图像分类案例及精调网络案例等,持续更新中... ...
ImageNet pre-trained models with batch normalization for the Caffe framework
This is a code repository for pytorch c++ (or libtorch) tutorial.
Implement of Openpose use Tensorflow
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)
Artificial Intelligence Learning Notes.
An easy implement of VGG19 with tensorflow, which has a detailed explanation.
RM Operation can equivalently convert ResNet to VGG, which is better for pruning; and can help RepVGG perform better when the depth is large.
Pytorch Imagenet Models Example + Transfer Learning (and fine-tuning)
Various CNN models for CIFAR10 with Chainer
Pretrained models for Jax/Flax: StyleGAN2, GPT2, VGG, ResNet, etc.
PyTorch implementation of DeepDream algorithm
COVID-19 Detection Chest X-rays and CT scans: COVID-19 Detection based on Chest X-rays and CT Scans using four Transfer Learning algorithms: VGG16, ResNet50, InceptionV3, Xception. The models were trained for 500 epochs on around 1000 Chest X-rays and around 750 CT Scan images on Google Colab GPU. A Flask App was later developed wherein user can upload Chest X-rays or CT Scans and get the output of possibility of COVID infection.
Learning and Building Convolutional Neural Networks using PyTorch
PyTorch implementation of "Pruning Filters For Efficient ConvNets"
tensorflow->BCNN + pytorch -> vgg16/resnet/BCNN
X-ray Images (Chest images) analysis and anomaly detection using Transfer learning with inception v2
TensorFlow implementation of real-time style transfer using feed-forward generation. This builds on the original style-transfer algorithm and allows for common personal computers to transform images.
⛵️ Implementation a variety of popular Image Classification Models using TensorFlow2. [ResNet, GoogLeNet, VGG, Inception-v3, Inception-v4, MobileNet, MobileNet-v2, ShuffleNet, ShuffleNet-v2, etc...]
Speaker identification with VGGVox network