scratchai-nightly 0.0.1a3

Scratch AI

scratchai

Builds

Documentation

Table of Contents:

1. Classification

Model	Paper	Implementation	Configurations
Lenet	http://yann.lecun.com/exdb/publis/pdf/lecun-01a.pdf	Implementation
Alexnet	https://papers.nips.cc/paper/4824-imagenet-classification-with-deep-convolutional-neural-networks.pdf	Implementation
VGG	https://arxiv.org/pdf/1409.1556.pdf	Implementation	VGG11, VGG11_BN, VGG13, VGG13_BN, VGG16_BN, VGG19, VGG19_BN, VGG_Dilated (For all the normal configurations)
Resnet	https://arxiv.org/abs/1512.03385	Implementation	Resnet18, Resnet34, Resnet50, Resnet101, Resnet150, Resnet_dilated (For all the previous resnets)
GoogLeNet	https://www.cs.unc.edu/~wliu/papers/GoogLeNet.pdf	Implementation
Resnext	https://arxiv.org/abs/1611.05431	NA

2. Segmentation

Model	Paper	Implementation
UNet	https://arxiv.org/abs/1505.04597	Implementation [Not checked]
ENet	https://arxiv.org/abs/1606.02147	Implementation [Not checked]

3. Generative Adversarial Networks

Model	Paper	Implementation
DCGAN	https://arxiv.org/abs/1511.06434	NA
CycleGAN	https://arxiv.org/abs/1703.10593	Implementation [Not checked]

4. Style Transfer

Model	Paper	Implementation
Image Transformation Network Justin et al.	Perceptual Losses Paper Supplementary Material	Implementation

5. Attacks

Attacks	Paper	Implementation
Noise	NA	Implementation
Semantic	https://arxiv.org/abs/1703.06857	Implementation
Saliency Map Method	https://arxiv.org/pdf/1511.07528.pdf	Ongoing
Fast Gradient Method	https://arxiv.org/abs/1412.6572	Implementation
Projected Gradient Descent	https://arxiv.org/pdf/1607.02533.pdf https://arxiv.org/pdf/1706.06083.pdf	Implementation
DeepFool	https://arxiv.org/abs/1511.04599 pdf	Implementation

Tutorials

Tutorials on how to get the most out of scratchai can be found here: https://github.com/iArunava/scratchai/tree/master/tutorials

These are ongoing list of tutorials and scratchai is looking for more and more contributions. If you are willing to contribute please take a look at the CONTRIBUTING.md / open a issue.

License

The code under this repository is distributed under MIT License. Feel free to use it in your own work with proper citations to this repository.