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carl

The implementation of “A Context-Aware User-Item Representation Learning for Item Recommendation”, Libing Wu, Cong Quan, Chenliang Li, Qian Wang, Bolong Zheng, Xiangyang Luo, https://dl.acm.org/citation.cfm?id=3298988

cnn-with-dual-local-and-global-attention

Implementaion of Interpretable Convolutional Neural Networks with Dual Local and Global Attention for Review Rating Prediction

deepconn

DeepCoNN written with pytorch for the paper：Lei Zheng, Vahid Noroozi, and Philip S Yu. 2017. Joint deep modeling of users and items using reviews for recommendation. In WSDM. ACM, 425-434.

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18个章节，50余万字。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

dgcf_torch

Pytorch implementation of DGCF

feature-engineering-book

Code repo for the book "Feature Engineering for Machine Learning," by Alice Zheng and Amanda Casari, O'Reilly 2018

gan

Resources and Implementations of Generative Adversarial Nets: GAN, DCGAN, WGAN, CGAN, InfoGAN

gnnpapers

Must-read papers on graph neural networks (GNN)

hello_world

inkml2img-with-py3

latex_ocr_pro

数学公式识别，增强：中文公式、手写公式

neu-review-rec

A Toolkit for Neural Review-based Recommendation models with Pytorch.

nsccgz

pmf-automl

Data and code related to the paper "Probabilistic matrix factorization for automated machine learning", NIPS, 2018.

pytorch-gan

PyTorch implementations of Generative Adversarial Networks.

sggcf

source code for Self-Supervised Group Graph Collaborative Filtering for Group Recommendation

spatial_graph_convnets

PyTorch implementation of residual gated graph ConvNets, ICLR’18

sr-gnn

[AAAI 2019] Source code and datasets for "Session-based Recommendation with Graph Neural Networks"

tensorflow-gans

各类GAN综合在一起，借鉴了hwalsuklee大神的