v-mipeng
I am now working at Cognitive Computing Lab, Baidu as an NLP researcher.
BaiduBaidu Technology Park Building No.1-No.5 No.10 Xibeiwang East Road,Haidian District, Beijing, China
Pinned Repositories
Class-Imbalance-Leawrning
ClassImbalanceLearning
This is the implementation code for the paper "Trainable Undersampling for Class-Imbalance Learning" published in AAAI2019
Hashtag
System for hashtag recommendation on twitter data set
LabelSmoothedAttack
Implementation of Label Smoothed Backdoor Attack
LexiconAugmentedNER
Reject complicated operations for incorporating lexicon for Chinese NER.
LexiconNER
Lexicon-based Named Entity Recognition
PartialNER
This is the implementation of the paper "Toward Recognizing More Entity Types in NER:An Efficient Implementation using Only Entity Lexicons"
SimpleParallel
基于pytorch实现的基础张量并行计算框架
TargetSpecificDomainAdaptation
This is the implementation of the paper "Cross-Domain Sentiment Classification with Target Domain Specific Information" published in ACL 2018.
TaskOOV
Address the out-of-vocabulary (OOV) problem in sequence labeling
v-mipeng's Repositories
v-mipeng/LexiconAugmentedNER
Reject complicated operations for incorporating lexicon for Chinese NER.
v-mipeng/LexiconNER
Lexicon-based Named Entity Recognition
v-mipeng/TargetSpecificDomainAdaptation
This is the implementation of the paper "Cross-Domain Sentiment Classification with Target Domain Specific Information" published in ACL 2018.
v-mipeng/ClassImbalanceLearning
This is the implementation code for the paper "Trainable Undersampling for Class-Imbalance Learning" published in AAAI2019
v-mipeng/SimpleParallel
基于pytorch实现的基础张量并行计算框架
v-mipeng/Class-Imbalance-Leawrning
v-mipeng/PartialNER
This is the implementation of the paper "Toward Recognizing More Entity Types in NER:An Efficient Implementation using Only Entity Lexicons"
v-mipeng/TaskOOV
Address the out-of-vocabulary (OOV) problem in sequence labeling
v-mipeng/Hashtag
System for hashtag recommendation on twitter data set
v-mipeng/LabelSmoothedAttack
Implementation of Label Smoothed Backdoor Attack
v-mipeng/Accord
Machine learning, computer vision, statistics and general scientific computing for .NET
v-mipeng/caffe
Caffe: a fast open framework for deep learning.
v-mipeng/EntityLinking
Repository for Entity Linking
v-mipeng/EntityTyping
v-mipeng/GoogleScraper
A Python module to scrape several search engines (like Google, Yandex, Bing, Duckduckgo, Baidu and others) by using proxies (socks4/5, http proxy) and with many different IP's, including asynchronous networking support (very fast).
v-mipeng/HMMs-and-Unsupervised-ML
learning HMMs and using the Viterbi and Buam-Welch algorithms on them
v-mipeng/homepage
v-mipeng/jiant
jiant is an NLP toolkit
v-mipeng/llama
Inference code for LLaMA models
v-mipeng/Markdown4Zhihu
一键解决知乎导入Markdown文件时图片和公式等问题。
v-mipeng/mathnet-numerics
Math.NET Numerics
v-mipeng/MLPyPackage
Machine learning wrapper in python with theano, blocks and fuel
v-mipeng/ner_incomplete_annotation
v-mipeng/Neural-Entity-Typing
Do Entity Typing with Multiple Time LSTM
v-mipeng/Package-pml
My C# package for usage simplicity
v-mipeng/ProjectOxford-ClientSDK
The official home for the Microsoft Cognitive Services client SDK and samples
v-mipeng/pytorch-playground
Base pretrained models and datasets in pytorch (MNIST, SVHN, CIFAR10, CIFAR100, STL10, AlexNet, VGG16, VGG19, ResNet, Inception, SqueezeNet)
v-mipeng/textflint
Text Robustness Evaluation Platform
v-mipeng/ustcthesis
LaTeX template for USTC thesis
v-mipeng/v-mipeng.github.io