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.

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.

Implementation of popular deep learning networks with TensorRT network definition APIs

food image to recipe with deep convolutional neural networks.

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

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... ...

AI Papers

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

AI场景分类竞赛

Artificial Intelligence Learning Notes.

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

Various CNN models for CIFAR10 with Chainer

Pyramidbox implement with pytorch

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

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)

各种深度学习结构、模型和技巧的集合

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.

X-ray Images (Chest images) analysis and anomaly detection using Transfer learning with inception v2

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

Speaker identification with VGGVox network

A collection of codes for 'how far can we go with MNIST' challenge

用python做计算机视觉，人工智能，机器学习，深度学习等

Baseline classifiers on the polluted MNIST dataset, SJTU CS420 course project