cytsinghua

cytsinghua

Geek Repo

Github PK Tool:Github PK Tool

cytsinghua's repositories

resume_EN

resume_EN

Language:TeXLicense:MITStargazers:0Issues:0Issues:0

VAT-pytorch

Virtual Adversarial Training (VAT) implementation for PyTorch

Stargazers:0Issues:0Issues:0

lihang-code

《统计学习方法》的代码实现

Language:Jupyter NotebookStargazers:0Issues:0Issues:0

JDDA-Master

Joint Domain Alignment and Discriminative Feature Learning for Unsupervised Deep Domain Adaptation(AAAI-2019)

Stargazers:0Issues:0Issues:0

LeetCode-1

:pencil2: LeetCode solutions in C++ 11 and Python3

Language:C++License:MITStargazers:0Issues:0Issues:0

JDDA

Code for the paper "Joint Domain Alignment and Discriminative Feature Learning for Unsupervised Deep Domain Adaptation" (AAAI-2019)

Stargazers:0Issues:0Issues:0

Machine_Learning_Study_Path

机器学习过程中所看的书,视频和源码

Language:PythonStargazers:0Issues:0Issues:0

pydci

A Python implementation of the Distributional Correspondence Indexing algorithm

Stargazers:0Issues:0Issues:0

torch-associative

Associative Domain Adaptation in PyTorch

Stargazers:0Issues:0Issues:0

DAS

Code and datasets for EMNLP2018 paper ‘‘Adaptive Semi-supervised Learning for Cross-domain Sentiment Classification’’.

Language:PythonLicense:Apache-2.0Stargazers:0Issues:0Issues:0

man

Multinomial Adversarial Networks for Multi-Domain Text Classification (NAACL 2018)

Language:PythonLicense:MITStargazers:0Issues:0Issues:0

domain_blse

Projecting Embeddings for Domain Adaptation: Joint Modeling of Sentiment in Diverse Domains

Language:PythonStargazers:0Issues:0Issues:0

Aspect-level-sentiment

Code and dataset for ACL2018 paper "Exploiting Document Knowledge for Aspect-level Sentiment Classification"

License:Apache-2.0Stargazers:0Issues:0Issues:0

domain-attention

codes for paper "Domain Attention Model for Multi-Domain Sentiment Classification"

Stargazers:0Issues:0Issues:0
Language:PythonStargazers:0Issues:0Issues:0

cross_domain_sentiment

A repo for all the research work done for cross domain sentiment analysis

Stargazers:0Issues:0Issues:0

learn-to-select-data

Code for Learning to select data for transfer learning with Bayesian Optimization

Stargazers:0Issues:0Issues:0

learning_by_association

This repository contains code for the paper Learning by Association - A versatile semi-supervised training method for neural networks (CVPR 2017) and the follow-up work Associative Domain Adaptation (ICCV 2017).

License:Apache-2.0Stargazers:0Issues:0Issues:0

aspect_adversarial

Aspect-augmented Adversarial Networks for Domain Adaptation

License:MITStargazers:0Issues:0Issues:0