Meta-repository for deep learning papers
Each implemented in PyTorch, Lightning or TensorFlow

[Computer Vision] Image Classification

MobileNetV1

Paper: MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications

Repository	Framework	Key Features
jungin500/mobilenetv1-tf	Tensorflow 2.x

MobileNetV2

Paper: MobileNetV2: Inverted Residuals and Linear Bottlenecks

Repository	Framework	Key Features
jungin500/mobilenetv2-torch	PyTorch	PyTorch Lightning, NVIDIA DALI

MobileNetV3

Paper: Searching for MobileNetV3

Repository	Branch (Revision)	Framework	Key Features
jungin500/mobilenetv3-torch	v1	PyTorch
jungin500/mobilenetv3-torch	v2	PyTorch	tensorboard, docker
jungin500/mobilenetv3-rpi		PyTorch	Smaller model for RPi inference

[Computer Vision] Object Detection

YOLOv1

Paper: You Only Look Once: Unified, Real-Time Object Detection

Repository	Branch (Revision)	Framework	Key Features
jungin500/yolov1-tf		Tensorflow 2.x
jungin500/yolov1-mobilenetv1-tf		Tensorflow 2.x	Custom backbone (MobileNetV1)
jungin500/yolov1-torch	v1	PyTorch
jungin500/yolov1-torch	v2	PyTorch	PyTorch Lightning

YOLOv2

Paper: YOLO9000: Better, Faster, Stronger

Repository	Framework	Key Features
jungin500/yolov2-tf	Tensorflow 2.x

YOLOv3

Paper: YOLOv3: An Incremental Improvement

Repository	Framework	Key Features
jungin500/yolov3-tf	Tensorflow 2.x