205 skills found · Page 1 of 7
msracver / Relation Networks For Object DetectionRelation Networks for Object Detection
floodsung / LearningToCompare FSLPyTorch code for CVPR 2018 paper: Learning to Compare: Relation Network for Few-Shot Learning (Few-Shot Learning part)
kimhc6028 / Relational NetworksPytorch implementation of "A simple neural network module for relational reasoning" (Relational Networks)
zhoubolei / TRN PytorchTemporal Relation Networks
gaoisbest / NLP Projectsword2vec, sentence2vec, machine reading comprehension, dialog system, text classification, pretrained language model (i.e., XLNet, BERT, ELMo, GPT), sequence labeling, information retrieval, information extraction (i.e., entity, relation and event extraction), knowledge graph, text generation, network embedding
SeoSangwoo / Attention Based BiLSTM Relation ExtractionTensorflow Implementation of "Attention-Based Bidirectional Long Short-Term Memory Networks for Relation Classification" (ACL 2016)
Cartus / AGGCNAttention Guided Graph Convolutional Networks for Relation Extraction (authors' PyTorch implementation for the ACL19 paper)
Yochengliu / Relation Shape CNNRelation-Shape Convolutional Neural Network for Point Cloud Analysis (CVPR 2019 Oral & Best paper finalist)
microsoft / Relation Aware Global Attention NetworksWe design an effective Relation-Aware Global Attention (RGA) module for CNNs to globally infer the attention.
alexandonian / Pretorched XPretrained Image & Video ConvNets and GANs for PyTorch: NASNet, ResNeXt (2D + 3D), ResNet (2D + 3D), InceptionV4, InceptionResnetV2, Xception, DPN, NonLocalNets, R(2+1)D nets, MultiView CNNs, Temporal Relation Networks, BigGANs StyleGANs, etc.
accel-brain / Accel Brain CodeThe purpose of this repository is to make prototypes as case study in the context of proof of concept(PoC) and research and development(R&D) that I have written in my website. The main research topics are Auto-Encoders in relation to the representation learning, the statistical machine learning for energy-based models, adversarial generation networks(GANs), Deep Reinforcement Learning such as Deep Q-Networks, semi-supervised learning, and neural network language model for natural language processing.
lzrobots / LearningToCompare ZSLPyTorch code for CVPR 2018 paper: Learning to Compare: Relation Network for Few-Shot Learning (Zero-Shot Learning part)
dragen1860 / LearningToCompare PytorchPytorch Implementation for CVPR2018 Paper: Learning to Compare: Relation Network for Few-Shot Learning
roomylee / Cnn Relation ExtractionTensorflow Implementation of Convolutional Neural Network for Relation Extraction (COLING 2014, NAACL 2015)
Siyu-C / ACAR Net[CVPR 2021] Actor-Context-Actor Relation Network for Spatio-temporal Action Localization
rasmusbergpalm / Recurrent Relational NetworksCode accompanying the paper Recurrent Relational Networks for Complex Relational Reasoning https://arxiv.org/abs/1711.08028
wanglimin / ARTNetAppearance-and-Relation Networks
thunlp / CANESource code and datasets of "CANE: Context-Aware Network Embedding for Relation Modeling"
triandicAnt / GraphEmbeddingRecommendationSystemPython based Graph Propagation algorithm, DeepWalk to evaluate and compare preference propagation algorithms in heterogeneous information networks from user item relation ship.
thunlp / HATT ProtoCode and dataset of AAAI2019 paper Hybrid Attention-Based Prototypical Networks for Noisy Few-Shot Relation Classification
