convolutional-networks

PyTorch implementation of the U-Net for image semantic segmentation with high quality images

Translate darknet to tensorflow. Load trained weights, retrain/fine-tune using tensorflow, export constant graph def to mobile devices

Projects and exercises for the latest Deep Learning ND program https://www.udacity.com/course/deep-learning-nanodegree--nd101

Differentiable architecture search for convolutional and recurrent networks

Towhee is a framework that is dedicated to making neural data processing pipelines simple and fast.

Image Deblurring using Generative Adversarial Networks

Paper Lists for Graph Neural Networks

PyTorch Implementation of Fully Convolutional Networks. (Training code to reproduce the original result is available.)

Easy training on custom dataset. Various backends (MobileNet and SqueezeNet) supported. A YOLO demo to detect raccoon run entirely in brower is accessible at https://git.io/vF7vI (not on Windows).