Pinned Repositories
AutoDeeplab
Pytorch Implementation the paper Auto-DeepLab Hierarchical Neural Architecture Search for Semantic Image Segmentation
BERT-pytorch
Google AI 2018 BERT pytorch implementation
chatbot-base-on-Knowledge-Graph
使用深度学习方法解析问题 知识图谱存储 查询知识点 基于医疗垂直领域的对话系统
ChineseNER
中文命名实体识别，实体抽取，tensorflow，pytorch，BiLSTM+CRF
deep-transfer-learning
A collection of implementations of deep domain adaptation algorithms
DenseNet
Densely Connected Convolutional Networks, In CVPR 2017 (Best Paper Award).
EasyTransfer
EasyTransfer is designed to make the development of transfer learning in NLP applications easier.
fairseq
Facebook AI Research Sequence-to-Sequence Toolkit written in Python.
HiddenCut
multi-Label-TextClassification
多标签文本分类
jinyuhang's Repositories
jinyuhang/multi-Label-TextClassification
多标签文本分类
jinyuhang/AutoDeeplab
Pytorch Implementation the paper Auto-DeepLab Hierarchical Neural Architecture Search for Semantic Image Segmentation
jinyuhang/BERT-pytorch
Google AI 2018 BERT pytorch implementation
jinyuhang/chatbot-base-on-Knowledge-Graph
使用深度学习方法解析问题 知识图谱存储 查询知识点 基于医疗垂直领域的对话系统
jinyuhang/ChineseNER
中文命名实体识别，实体抽取，tensorflow，pytorch，BiLSTM+CRF
jinyuhang/deep-transfer-learning
A collection of implementations of deep domain adaptation algorithms
jinyuhang/DenseNet
Densely Connected Convolutional Networks, In CVPR 2017 (Best Paper Award).
jinyuhang/EasyTransfer
EasyTransfer is designed to make the development of transfer learning in NLP applications easier.
jinyuhang/fairseq
Facebook AI Research Sequence-to-Sequence Toolkit written in Python.
jinyuhang/HiddenCut
jinyuhang/jinyuhang.github.io
jinyuhang/KBQA-for-Diagnosis
knowledge graph, Question answering system，include bilstm-crf, entity normalization, CasRel relation extraction, SlotGate-SLU NLU models , ect..
jinyuhang/mars-finetuning
jinyuhang/medical_entity_recognize
医疗实体识别
jinyuhang/mixout
Implementation of Mixout with PyTorch
jinyuhang/MT-DNN
Multi-Task Deep Neural Networks for Natural Language Understanding
jinyuhang/NLP-Knowledge-Graph
自然语言处理、知识图谱、对话系统三大技术研究与应用。
jinyuhang/peft
🤗 PEFT: State-of-the-art Parameter-Efficient Fine-Tuning.
jinyuhang/pu-learning
Positive and unlabeled learning wrappers for scikit-learn
jinyuhang/pulearn
Positive-unlabeled learning with Python.
jinyuhang/SIGIR2020_peterrec
Parameter-Efficient Transfer from Sequential Behaviors for User Modeling and Recommendation
jinyuhang/SMASH
An experimental technique for efficiently exploring neural architectures.
jinyuhang/Snowball
Implementation with some extensions of the paper "Snowball: Extracting Relations from Large Plain-Text Collections" (Agichtein and Gravano, 2000)
jinyuhang/spring-cloud-kuang
狂神springcloud笔记+源码+config
jinyuhang/TCN
Sequence modeling benchmarks and temporal convolutional networks
jinyuhang/Thesis-2020
jinyuhang/transferlearning
Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习