This repository presents a comprehensive collection of jupyter notbooks that replicates the original results of many deep learning models or papers. Each implementation is built from scratch using Pytorch and run on Google Colab, using either the original datasets or a subset of them.

Network	Dataset	Preprocess	Inference	Accuracy	Status
LeNet-5	Mnist			98.70 %
AlexNet	Cifar-10	PCA color jittering		84.99 %
Network in Network	Cifar-10	ZCA, GCN		88.29 %
VGG	Imagenette	normalize, random crop,horizontal flip	FC to Conv, Average softmax (2)	88.53 %
GoogleNet (Inception-v1)	Imagenette	normalize, random crop, photometric distortions	Polyak averaging, Average softmax (36)	81.57 %

Network	Dataset	Preprocess	Inference	Accuracy	Status
U-Net	EM stacks (IBSI2012)