ml-paper-implementations

implementing ml papers.

For updating requirements.txt, run pipreqs ml-paper-implementations from outside of directory.

Open the respective paper's directory to view more information.

Papers to implement:

Architectures (8 Papers)

AlexNet: https://papers.nips.cc/paper/4824-imagenet-classification-with-deep-convolutional-neural-networks

ZFNet: https://arxiv.org/abs/1311.2901

VGG16: https://arxiv.org/abs/1505.06798

ResNet: https://arxiv.org/abs/1704.06904

GoogLeNet: https://arxiv.org/abs/1409.4842

Inception: https://arxiv.org/abs/1512.00567

Xception: https://arxiv.org/abs/1610.02357

MobileNet: https://arxiv.org/abs/1704.04861

Semantic Segmentation (7 Papers)

FCN: https://arxiv.org/abs/1411.4038

SegNet: https://arxiv.org/abs/1511.00561

UNet: https://arxiv.org/abs/1505.04597

PSPNet: https://arxiv.org/abs/1612.01105

DeepLab: https://arxiv.org/abs/1606.00915

ICNet: https://arxiv.org/abs/1704.08545

ENet: https://arxiv.org/abs/1606.02147

Generative adversarial networks (5 Papers)

GAN: https://arxiv.org/abs/1406.2661

DCGAN: https://arxiv.org/abs/1511.06434

WGAN: https://arxiv.org/abs/1701.07875

Pix2Pix: https://arxiv.org/abs/1611.07004

CycleGAN: https://arxiv.org/abs/1703.10593

Object detection (6 Papers)

RCNN: https://arxiv.org/abs/1311.2524

Fast-RCNN: https://arxiv.org/abs/1504.08083

Faster-RCNN: https://arxiv.org/abs/1506.01497

SSD: https://arxiv.org/abs/1512.02325

YOLO: https://arxiv.org/abs/1506.02640

YOLO9000: https://arxiv.org/abs/1612.08242