SamHaoYuan

DSANForAAAI2021

EMBSR

To be continued

DeepLearning-500-questions

深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为15个章节，近20万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系scutjy2015@163.com 版权所有，违权必究 Tan 2018.06

MultiVariatePointProcess

verb_sel_code

2019

A-Programmers-Guide-to-English

专为程序员编写的英语学习指南。v1.0

ATRank

An Attention-Based User Behavior Modeling Framework for Recommendation

awesome-offline-rl

An index of algorithms for offline reinforcement learning (offline-rl)

commitgen

Code and data for the paper "A Neural Architecture for Generating Natural Language Descriptions from Source Code Changes"

DP3

Deep Point Process by Pytorch

GRU4Rec

GRU4Rec is the original Theano implementation of the algorithm in "Session-based Recommendations with Recurrent Neural Networks" paper, published at ICLR 2016 and its follow-up "Recurrent Neural Networks with Top-k Gains for Session-based Recommendations". The code is optimized for execution on the GPU.

hgru4rec

Code for our ACM RecSys 2017 paper "Personalizing Session-based Recommendation with Hierarchical Recurrent Neural Networks"

HUP

KBRD

Source code and dataset for EMNLP 2019 paper "Towards Knowledge-Based Recommender Dialog System"

NeuralPointProcess

neurawkes

Source code of The Neural Hawkes Process (NIPS 2017)

pitf

Pairwise Interaction Tensor Factorization

pyGRU4REC

PyTorch Implementation of Session-based Recommendations with Recurrent Neural Networks(ICLR 2016, Hidasi et al.)

sars_tutorial

Repository for the tutorial on Sequence-Aware Recommender Systems held at ACM RecSys 2018

sira-nlp

Code for the Natural Language Processing project in RIT's SIRA.

STAMP

Code for the KDD 2018 paper: STAMP: Short-Term Attention/Memory Priority Model for Session-based Recommendation

time_lstm

Wasserstein-Learning-For-Point-Process

learning point processes by means of optimal transport and wasserstein distance

x-deeplearning

An industrial deep learning framework for high-dimension sparse data