Methods and Implements of Deep Clustering

This repository collects debiasing methods for recommendation

Topic Modeling in Embedding Spaces

【PyTorch】Easy-to-use,Modular and Extendible package of deep-learning based CTR models.

some neural topic model implement from others or myself (main from others)

Code for the NeurIPS'17 paper "DropoutNet: Addressing Cold Start in Recommender Systems"

Pytorch implementation of convolutional neural network visualization techniques

Datasets, Transforms and Models specific to Computer Vision

PyTorch implementation of the U-Net for image semantic segmentation with high quality images

Recommender systems with capacity constraints

深度学习近年来关于神经网络模型解释性的相关高引用/顶会论文(附带代码)

Dynamic (Temporal) Knowledge Graph Completion (Reasoning)

A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

Demo implementation for "A Pareto-Efficient Algorithm for Multiple Objective Optimization in E-Commerce Recommendation".

An Open-source Neural Hierarchical Multi-label Text Classification Toolkit