Stars
Python package built to ease deep learning on graph, on top of existing DL frameworks.
Graph Neural Network Library for PyTorch
The repository includes GNN, GAT, GCN, GraphSAGE, PinSAGE, etc algorithm implementation.
Implementation and experiments of graph embedding algorithms.
Sequential deep matching model for recommender system at Alibaba
A deep matching model library for recommendations & advertising. It's easy to train models and to export representation vectors which can be used for ANN search.
A TensorFlow Keras implementation of "Modeling Task Relationships in Multi-task Learning with Multi-gate Mixture-of-Experts" (KDD 2018)
CTR prediction models based on deep learning(基于深度学习的广告推荐CTR预估模型)
A Keras implementation of YOLOv3 (Tensorflow backend)
Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow