Destruction and Construction Learning for Fine-grained Image Recognition

Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep lear…

Fast, modular reference implementation of Instance Segmentation and Object Detection algorithms in PyTorch.

Keras implementation of the Learn to Pay Attention model.

Code/Model release for NIPS 2017 paper "Attentional Pooling for Action Recognition"

PyTorch implementation of ICLR 2018 paper Learn To Pay Attention (and some modification)

IPMI2019 paper - Melanoma Recognition via Visual Attention

pytorch1.0 updated. Support cpu test and demo. (Use detectron2, it's a masterpiece)

Tensorflow Faster RCNN for Object Detection