SunshineAtNoon

Paper-Implementations. Use PyTorch to implement some classic frameworks

LinearStyleTransfer. This is the Pytorch implementation of "Learning Linear Transformations for Fast Image and Video Style Transfer" (CVPR 2019).

PytorchWCT. This is the Pytorch implementation of Universal Style Transfer via Feature Transforms.

Paper-Collection. A track of papers I read

Darknet.keras. Python

Django-Celery-Example. This is a simple example about how to create a progress bar in Django with Celery.

Scrapy-Amazon-Sqlite. This is a project crawling backpack information and images from Amazon using python scrapy and store data to sqlite database.

Convolutional-Neural-Network. This is a matlab implementation of CNN on MNIST

Two-Layer-CNN-on-MNIST. MATLAB

Single-Layer-CNN-on-MNIST. A single Layer CNN on MIST, get an acurray of 97.24%

stanford_dl_ex. Programming exercises for the Stanford Unsupervised Feature Learning and Deep Learning Tutorial

TensorFlow_Practice. Python

sunshineatnoon.github.io. Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes

pytorch-tutorial. PyTorch Tutorial for Deep Learning Researchers

pix2pix. Image-to-image translation with conditional adversarial nets