samhaoyuan Goto Github PK

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"

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[email protected] 版权所有，违权必究 Tan 2018.06

dp3

Deep Point Process by Pytorch

dsanforaaai2021

embsr

To be continued

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"

multivariatepointprocess

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

verb_sel_code

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