vgg

Implementation of popular deep learning networks with TensorRT network definition API

Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network

An Implementation of Fully Convolutional Networks in Tensorflow.

Classification models trained on ImageNet. Keras.

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

Repository for Single Shot MultiBox Detector and its variants, implemented with pytorch, python3.

Tutorials on how to implement a few key architectures for image classification using PyTorch and TorchVision.

food image to recipe with deep convolutional neural networks.

Computer vision based ML training data generation tool 🚀

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

天池医疗AI大赛[第一季]：肺部结节智能诊断 UNet/VGG/Inception/ResNet/DenseNet

This is a code repository for pytorch c++ (or libtorch) tutorial.

AI Papers

Implement of Openpose use Tensorflow

Artificial Intelligence Learning Notes.

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)

AI场景分类竞赛

An easy implement of VGG19 with tensorflow, which has a detailed explanation.

Pyramidbox implement with pytorch

Pytorch Imagenet Models Example + Transfer Learning (and fine-tuning)

Various CNN models for CIFAR10 with Chainer

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 implementation of DeepDream algorithm

Pretrained models for Jax/Flax: StyleGAN2, GPT2, VGG, ResNet, etc.

各种深度学习结构、模型和技巧的集合

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.

PyTorch implementation of "Pruning Filters For Efficient ConvNets"

tensorflow->BCNN + pytorch -> vgg16/resnet/BCNN