samson-wang

layer	resnet18	resnet34	resnet50	resnet101
conv1	7	7	7	7
maxpool	11	11	11	11
layer1	43	59	35	35
layer2	99	179	91	91
layer3	211	547	267	811
layer4	435	899	427	971

shagunsodhani

Pixel Recurrent Neural Network

Introduction

• Problem: Building an expressive, tractable and scalable image model which can be used in downstream tasks like image generation, reconstruction, compression etc.
• Link to the paper

Model

• Scan the image, one row at a time and one pixel at a time (within each row).

sirleech

import web
import json


urls = (
    '/', 'index',
    '/random', 'random',
    '/dump', 'dump'
)