taingload's Stars
ZhiningLiu1998/awesome-imbalanced-learning
😎 Everything about class-imbalanced/long-tail learning: papers, codes, frameworks, and libraries | 有关类别不平衡/长尾学习的一切:论文、代码、框架与库
ZhehengJiang/GCAN
Graph-context Attention Networks for Size-varied Deep Graph Matching
jma712/HyperSCI
cszhangzhen/H2MN
H2MN: Graph Similarity Learning with Hierarchical Hypergraph Matching Networks (KDD-2021)
akaxlh/ST-SHN
ST-SHN, IJCAI 2021
iMoonLab/DeepHypergraph
A pytorch library for graph and hypergraph computation.
amazon-science/dual-channel-hypergraph-neural-network
GH1995/RUC-thesis-template-for-LaTeX
:apple: **人民大学通用论文模板LaTeX
clinicalml/cfrnet
Counterfactual Regression
anpwu/DeR-CFR
BUPT-GAMMA/OpenHGNN
This is an open-source toolkit for Heterogeneous Graph Neural Network(OpenHGNN) based on DGL.
liangoy/WAIC2022Causal
4paradigm/AutoX
AutoX is an efficient automl tool, which is mainly aimed at data mining tasks with tabular data.
a312863063/generators-with-stylegan2
Here is a series of face generators based on StyleGAN2
tczhangzhi/awesome-normalization-techniques
Papers for normalization techniques, released codes collections.
CorentinJ/Real-Time-Voice-Cloning
Clone a voice in 5 seconds to generate arbitrary speech in real-time
Kyubyong/transformer
A TensorFlow Implementation of the Transformer: Attention Is All You Need
Oceanusity/awesome-gnns-on-large-scale-graphs
huyquangvevo/FrequentGraph
SPIN: Mining Maximal Frequent Subgraphs from Graph Databases
ColinConduff/FrequentSubgraphMining
This is a python implementation of the Gaston frequent subgraph mining algorithm.
jakee/frequent-subgraph-patterns
Source code of M. S.c thesis project on the topic "Mining Frequent Subgraph Patterns in Evolving Graphs"
benedekrozemberczki/littleballoffur
Little Ball of Fur - A graph sampling extension library for NetworKit and NetworkX (CIKM 2020)
soimort/you-get
:arrow_double_down: Dumb downloader that scrapes the web
codexxxl/GraphVQA
GraphVQA: Language-Guided Graph Neural Networks for Scene Graph Question Answering
dice-group/TeBaQA
A question answering system which utilises machine learning.
jlian2/mucko
Pytorch Implementation of MUCKO(2020 IJCAI)
zongshenmu/attention_knowledge_vqa
vqa drived by bottom-up and top-down attention and knowledge
airsplay/lxmert
PyTorch code for EMNLP 2019 paper "LXMERT: Learning Cross-Modality Encoder Representations from Transformers".
noagarcia/knowit-rock
ROCK model for Knowledge-Based VQA in Videos
BDBC-KG-NLP/QA-Survey-CN
北京航空航天大学大数据高精尖中心自然语言处理研究团队开展了智能问答的研究与应用总结。包括基于知识图谱的问答(KBQA),基于文本的问答系统(TextQA),基于表格的问答系统(TableQA)、基于视觉的问答系统(VisualQA)和机器阅读理解(MRC)等,每类任务分别对学术界和工业界进行了相关总结。