vgg

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.

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

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

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

Computer vision based ML training data generation tool 🚀

food image to recipe with deep convolutional neural networks.

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

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... ...

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

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)

ImageNet pre-trained models with batch normalization for the Caffe framework

Artificial Intelligence Learning Notes.

Implement of Openpose use Tensorflow

AI Papers

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

用于pytorch的图像分类，包含多种模型方法，比如AlexNet，VGG，GoogleNet，ResNet，DenseNet等等，包含可完整运行的代码。除此之外，也有colab的在线运行代码，可以直接在colab在线运行查看结果。也可以迁移到自己的数据集进行迁移学习。

RM Operation can equivalently convert ResNet to VGG, which is better for pruning; and can help RepVGG perform better when the depth is large.