jinyuhang Goto Github PK

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

chatglm3

ChatGLM3 series: Open Bilingual Chat LLMs | 开源双语对话语言模型

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

jinyuhang.github.io

kbqa-for-diagnosis

knowledge graph, Question answering system，include bilstm-crf, entity normalization, CasRel relation extraction, SlotGate-SLU NLU models , ect..

mars-finetuning

medical_entity_recognize

医疗实体识别

mixout

Implementation of Mixout with PyTorch

mt-dnn

Multi-Task Deep Neural Networks for Natural Language Understanding

multi-label-textclassification

多标签文本分类

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。

peft

🤗 PEFT: State-of-the-art Parameter-Efficient Fine-Tuning.

pu-learning

Positive and unlabeled learning wrappers for scikit-learn

pulearn

Positive-unlabeled learning with Python.

sigir2020_peterrec

Parameter-Efficient Transfer from Sequential Behaviors for User Modeling and Recommendation

smash

An experimental technique for efficiently exploring neural architectures.

snowball

Implementation with some extensions of the paper "Snowball: Extracting Relations from Large Plain-Text Collections" (Agichtein and Gravano, 2000)

spring-cloud-kuang

狂神springcloud笔记+源码+config

tcn

Sequence modeling benchmarks and temporal convolutional networks

thesis-2020

transferlearning

Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习