Pinned Repositories
2021.0104
3D-ResNets-PyTorch
3D ResNets for Action Recognition (CVPR 2018)
ansj_seg
ansj分词.ict的真正java实现.分词效果速度都超过开源版的ict. 中文分词,人名识别,词性标注,用户自定义词典
Anti-Asian-Slurs
CasDENN
Code for "Efficient and Effective Information Cascade Prediction via Degree Distribution Evolution Neural Networks"
facebook-data-mining
Facebook Data Mining
FRRPP
Feature Regularized Reinforced Poisson Process Model for Predicting Popularity Dynamics
TensorFlow-Autoencoders
Implementations of autoencoder, generative adversarial networks, variational autoencoder and adversarial variational autoencoder
VAE-tensorflow
Code for Variational AutoEncoder(VAE) using tensorflow
tmacmilan's Repositories
tmacmilan/awesome-network-embedding
A curated list of network embedding techniques.
tmacmilan/awesome-public-datasets
A topic-centric list of HQ open datasets. PR ☛☛☛
tmacmilan/Cascade2vec
This is the link for codes and data used in Cascade2vec
tmacmilan/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scutjy2015@163.com 版权所有,违权必究 Tan 2018.06
tmacmilan/dgl
Python package built to ease deep learning on graph, on top of existing DL frameworks.
tmacmilan/DynamicGEM
tmacmilan/EATNN
This is our implementation of EATNN: Efficient Adaptive Transfer Neural Network
tmacmilan/FakeNewsNet
This is a dataset for fake news detection research
tmacmilan/fast_text_gcn
FastGCN for inductive text classification
tmacmilan/gcn
Implementation of Graph Convolutional Networks in TensorFlow
tmacmilan/GEM
tmacmilan/GNNPapers
Must-read papers on graph neural networks (GNN)
tmacmilan/graph-based-deep-learning-literature
links to conference publications in graph-based deep learning
tmacmilan/HERec
Source code for TKDE 2018 "Heterogeneous information network embedding for recommendation"
tmacmilan/HINE
Heterogeneous Information Network Embedding
tmacmilan/infomax
extract features by maximizing mutual information
tmacmilan/LiteratureDL4Graph
A comprehensive collection of recent papers on graph deep learning
tmacmilan/neural_graph_collaborative_filtering
Neural Graph Collaborative Filtering, SIGIR2019
tmacmilan/NLP4Rec-Papers
Paper list of NLP for recommender systems
tmacmilan/open-entity-relation-extraction
Knowledge triples extraction and knowledge base construction based on dependency syntax for open domain text.
tmacmilan/PythonSpiderBook
《Python网络爬虫从入门到实践》勘误与随书源代码
tmacmilan/pytorch_DGCNN
PyTorch implementation of DGCNN
tmacmilan/Recommender-System-Datasets
A list of compatible datasets, noting other major repositories containing popular real-world datasets, along with sample code for a range of recommendation tasks.
tmacmilan/RecQ
RecQ: A Python Framework for Recommender Systems (TensorFlow Based)
tmacmilan/RecSys2019_DeepLearning_Evaluation
This is the repository of our article published in RecSys 2019 "Are We Really Making Much Progress? A Worrying Analysis of Recent Neural Recommendation Approaches"
tmacmilan/Rumor_RvNN
Source Codes: Rumor Detection on Twitter with Tree-structured Recursive Neural Networks -- ACL 2018
tmacmilan/text_classification
all kinds of text classification models and more with deep learning
tmacmilan/text_gcn
Graph Convolutional Networks for Text Classification. AAAI 2019
tmacmilan/text_gcn.pytorch
PyTorch implementation of "Graph Convolutional Networks for Text Classification. Yao et al. AAAI2019."
tmacmilan/textClassifier
Text classifier for Hierarchical Attention Networks for Document Classification