Walter1218

2019

Algorithms-of-Artificial-Intelligence

Knowledge repository for current work

bert

TensorFlow code and pre-trained models for BERT

BSS_distillation

Knowledge Distillation with Adversarial Samples Supporting Decision Boundary (AAAI 2019)

cbvr

Feature Re-Learning with Data Augmentation for Content-based Video Recommendation

chatbot_tf

CRCNN

Classifying Relations by Ranking with Convolutional Neural Networks

Deep-Portfolio-Management

Source code for the blog post on the evolution of the asset allocation methods

DeepFashion2

DeepFashion2 Dataset https://arxiv.org/pdf/1901.07973.pdf

diversity-in-cnn-filters

Diversity promoting prior based on Determinantal Point Process over filters of a convolutional layer

drl_binpacking

3D bin packing is a classical and challenging combinatorial optimization problem in logistics and production systems. An effective bin packing algorithm means the reduction of total packing cost and increase in utilization of resources. Because the cost of packing materials, which is mainly determined by their surface area, occupies the most part of packing cost, and in many real business scenarios there is no bin with fixed size, so AI Department of Cainiao proposed a new type of 3D bin packing problem. The objective of this new type of 3D bin packing problem is to pack all items into a bin with minimized surface area. And a DRL method based on the sequence-to-sequence model is proposed to solve the problem. This is the research paper link: https://arxiv.org/abs/1708.05930. Source code of this method can be found in the project.

dssm-1

DSSM and Multi-View DSSM

gated-graph-neural-network-samples

Sample Code for Gated Graph Neural Networks

google-research

Google Research

hangzhou_house_knowledge

2017年买房经历总结出来的买房购房知识分享给大家，希望对大家有所帮助。买房不易，且买且珍惜。Sharing the knowledge of buy an own house that according to the experience at hangzhou in 2017 to all the people. It's not easy to buy a own house, so I hope that it would be useful to everyone.

Neural_Bayesian_Personalized_Ranking

Representation Learning and Pairwise Ranking for Implicit Feedback in Top-N Item Recommendation

nmt

TensorFlow Neural Machine Translation Tutorial

NMT-1

Attention-based NMT with Coverage, Context Gate, and Reconstruction

PassiveAggressive-MaxOut

Code of "Passive-Aggressive online learning with nonlinear embeddings"

pointer-generator

Code for the ACL 2017 paper "Get To The Point: Summarization with Pointer-Generator Networks"

rank_distill

A PyTorch implementation of Ranking Distillation

Reinforcement-learning-in-portfolio-management-

In this paper, we implement three state-of-art continuous reinforcement learning algorithms, Deep Deterministic Policy Gradient (DDPG), Proximal Policy Optimization (PPO) and Policy Gradient (PG)in portfolio management.

SR-GNN

Source code and datasets for paper "Session-based Recommendation with Graph Neural Networks"

stanford-tensorflow-tutorials

This repository contains code examples for the Stanford's course: TensorFlow for Deep Learning Research.

tencent-ml-images

Largest multi-label image database; ResNet-101 model; 80.73% top-1 acc on ImageNet

TensorFlow-TransX

An implementation of TransE and its extended models for Knowledge Representation Learning on TensorFlow

topicrnn

reimplementation of topicrnn

TuSimple-DUC

Understanding Convolution for Semantic Segmentation

universal-portfolios

Collection of algorithms for online portfolio selection

WWW2018_LRML

Implementation of "Latent Relational Metric Learning via Memory-based Attention for Collaborative Ranking"