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WuKun's Projects

basic_model_scratch icon basic_model_scratch

Implementation of some classic Machine Learning model from scratch and benchmarking against popular ML library

bert icon bert

TensorFlow code and pre-trained models for BERT

bert-bilstm-crf-ner icon bert-bilstm-crf-ner

Tensorflow solution of NER task Using BiLSTM-CRF model with Google BERT Fine-tuning

bert-for-sequence-labeling-and-text-classification icon bert-for-sequence-labeling-and-text-classification

This is the template code to use BERT for sequence lableing and text classification, in order to facilitate BERT for more tasks. Currently, the template code has included conll-2003 named entity identification, Snips Slot Filling and Intent Prediction.

bert-ner icon bert-ner

Pytorch-Named-Entity-Recognition-with-BERT

bert-ner-1 icon bert-ner-1

Use Google's BERT for named entity recognition (CoNLL-2003 as the dataset).

bert-ner-tensor-serving icon bert-ner-tensor-serving

基于Bert(或Robert)预训练模型微调命名实体识别任务,并提供基于docker的Tensor Serving部署模型方案实现过程。

chinesener icon chinesener

A neural network model for Chinese named entity recognition

chinesenlpcorpus icon chinesenlpcorpus

中文自然语言处理数据集,平时做做实验的材料。欢迎补充提交合并。

clion-m2cmake icon clion-m2cmake

A tool that provides the ability to convert TAF makefile into CMakeLists.txt

comet-commonsense icon comet-commonsense

Code for ACL 2019 Paper: "COMET: Commonsense Transformers for Automatic Knowledge Graph Construction"

corpus icon corpus

自然语言处理,知识图谱相关语料。按照Task细分,欢迎PR。

coupletai icon coupletai

基于CNN+Bi-LSTM+Attention 的自动对对联系统

cw2vec icon cw2vec

cw2vec: Learning Chinese Word Embeddings with Stroke n-gram Information

datnet icon datnet

The implementation of Dual Adversarial Neural Transfer (DATNets) for Sequence Labeling, which is able to tackle sequence labeling tasks such as POS Tagging, NER, Chunking,etc..

dbscan icon dbscan

Pretty fast DBSCAN C++ Boost OpenMP implementation

deepctr icon deepctr

Easy-to-use,Modular and Extendible package of deep-learning based CTR models .

deepgbm icon deepgbm

Implementation for the paper "DeepGBM: A Deep Learning Framework Distilled by GBDT for Online Prediction Tasks", which has been accepted by KDD'2019.

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