JianxiangWang's Stars
peteanderson80/bottom-up-attention
Bottom-up attention model for image captioning and VQA, based on Faster R-CNN and Visual Genome
peteanderson80/SPICE
Semantic Propositional Image Caption Evaluation
zhjohnchan/awesome-image-captioning
A curated list of image captioning and related area resources. :-)
PhantomGrapes/MultiDigraphNER
A Neural Multi-digraph Model for Chinese NER with Gazetteers
rikdz/GraphWriter
Code for "Text Generation from Knowledge Graphs with Graph Transformers"
fastnlp/style-transformer
ChenRocks/UNITER
Research code for ECCV 2020 paper "UNITER: UNiversal Image-TExt Representation Learning"
KunpengLi1994/VSRN
PyTorch code for ICCV'19 paper "Visual Semantic Reasoning for Image-Text Matching"
pathak22/pyflow
Fast, accurate and easy to run dense optical flow with python wrapper
yangerkun/IJCAI2018_SSDH
Semantic Structure-based Unsupervised Deep Hashing IJCAI2018
caoyue10/DeepHash-Papers
Must-read papers on deep learning to hash (DeepHash)
YuvalNirkin/DenseCorrespondences
yellowcath/PhotoMovie
Using your photos to create cool videos.(高仿抖音照片电影功能)
Trekky12/kburns-slideshow
generate slideshow movies with Ken Burns effect on images
uber-research/PPLM
Plug and Play Language Model implementation. Allows to steer topic and attributes of GPT-2 models.
arogozhnikov/python3_with_pleasure
A short guide on features of Python 3 with examples
shenweichen/DeepCTR
Easy-to-use,Modular and Extendible package of deep-learning based CTR models .
google-research/text-to-text-transfer-transformer
Code for the paper "Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer"
ownthink/KnowledgeGraphData
史上最大规模1.4亿中文知识图谱开源下载
bhoov/exbert
A Visual Analysis Tool to Explore Learned Representations in Transformers Models
panchunguang/ccks_baidu_entity_link
ccks baidu entity link 实体链接 第一名
ckiplab/ckiptagger
CKIP Neural Chinese Word Segmentation, POS Tagging, and NER
roomylee/awesome-relation-extraction
📖 A curated list of awesome resources dedicated to Relation Extraction, one of the most important tasks in Natural Language Processing (NLP).
brightmart/roberta_zh
RoBERTa中文预训练模型: RoBERTa for Chinese
pytorch/ignite
High-level library to help with training and evaluating neural networks in PyTorch flexibly and transparently.
npubird/KnowledgeGraphCourse
东南大学《知识图谱》研究生课程
howl-anderson/seq2annotation
基于 TensorFlow & PaddlePaddle 的通用序列标注算法库(目前包含 BiLSTM+CRF, Stacked-BiLSTM+CRF 和 IDCNN+CRF,更多算法正在持续添加中)实现中文分词(Tokenizer / segmentation)、词性标注(Part Of Speech, POS)和命名实体识别(Named Entity Recognition, NER)等序列标注任务。
microsoft/nlp-recipes
Natural Language Processing Best Practices & Examples
bojone/kg-2019
2019年百度的三元组抽取比赛,“科学空间队”源码
Morizeyao/GPT2-Chinese
Chinese version of GPT2 training code, using BERT tokenizer.