JingliSHI0206's Stars
google-research/google-research
Google Research
plasma-umass/scalene
Scalene: a high-performance, high-precision CPU, GPU, and memory profiler for Python with AI-powered optimization proposals
doccano/doccano
Open source annotation tool for machine learning practitioners.
stanfordnlp/stanza
Stanford NLP Python library for tokenization, sentence segmentation, NER, and parsing of many human languages
jessevig/bertviz
BertViz: Visualize Attention in NLP Models (BERT, GPT2, BART, etc.)
tkipf/pygcn
Graph Convolutional Networks in PyTorch
catalyst-team/catalyst
Accelerated deep learning R&D
shaoxiongji/knowledge-graphs
A collection of research on knowledge graphs
Cartus/AGGCN
Attention Guided Graph Convolutional Networks for Relation Extraction (authors' PyTorch implementation for the ACL19 paper)
roomylee/nlp-papers-with-arxiv
Statistics and accepted paper list of NLP conferences with arXiv link
qipeng/gcn-over-pruned-trees
Graph Convolution over Pruned Dependency Trees Improves Relation Extraction (authors' PyTorch implementation)
INK-USC/KagNet
Knowledge-Aware Graph Networks for Commonsense Reasoning (EMNLP-IJCNLP 19)
tsujuifu/pytorch_graph-rel
A PyTorch implementation of GraphRel
truthless11/HRL-RE
Joint Relation Extraction with Hierarchical Reinforcement Learning
cshizhe/asg2cap
Code accompanying the paper "Say As You Wish: Fine-grained Control of Image Caption Generation with Abstract Scene Graphs" (Chen et al., CVPR 2020, Oral).
prrao87/fine-grained-sentiment
A comparison and discussion of different NLP methods for 5-class sentiment classification on the SST-5 dataset.
ianycxu/GCN-with-BERT
Graph Convolutional Networks (GCN) with BERT for Coreference Resolution Task [Pytorch][DGL]
anebz/papers
Curated repository of notes from papers I'm reading, mostly NLP related. Updated regularly.
nusnlp/PtrNetDecoding4JERE
Code for modeling encoder-decoder architecture with pointer network for joint entity and relation extraction (AAAI 2020).
xiangrongzeng/multi_re
Multiple Relational Facts Extraction
JingliSHI0206/ecco
Visualize, analyze, and explore NLP language models. Ecco creates interactive visualizations directly in Jupyter notebooks explaining the behavior of Transformer-based language models (like GPT2, BERT, RoBERTA, T5, and T0).