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gcn

Implementation of Graph Convolutional Networks in TensorFlow

generative-models

Collection of generative models, e.g. GAN, VAE in Pytorch and Tensorflow.

gluon-nlp

NLP made easy

golden-horse

Named Entity Recognition for Chinese social media (Weibo). From EMNLP 2015 paper.

hanlp

自然语言处理 中文分词 词性标注 命名实体识别 依存句法分析 关键词提取 新词发现 短语提取 自动摘要 文本分类 拼音简繁

hiagm

Hierarchy-Aware Global Model for Hierarchical Text Classification

hierarchical-attention-networks-pytorch

Hierarchical Attention Networks for document classification

hierarchical-multi-label-text-classification

The code of CIKM'19 paper《Hierarchical Multi-label Text Classification: An Attention-based Recurrent Network Approach》

huapa

AAAI18 paper 《Improving Review Representations with User Attention and Product Attention for Sentiment Classification》

infersent

Sentence embeddings (InferSent) and training code for NLI.

language-modeling-gatedcnn

Tensorflow implementation of "Language Modeling with Gated Convolutional Networks"

latticelstm

Chinese NER using Lattice LSTM. Code for ACL 2018 paper.

leam

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).

legalpapers

Must-read Papers on Legal Intelligence

lexiconaugmentedner

Reject complicated operations for incorporating lexicon for Chinese NER.

lexiconner

Lexicon-based Named Entity Recognition

lm-lstm-crf

Empower Sequence Labeling with Task-Aware Language Model

machine-learning

:zap:机器学习实战（Python3）：kNN、决策树、贝叶斯、逻辑回归、SVM、线性回归、树回归

maml-pytorch

Elegant PyTorch implementation of paper Model-Agnostic Meta-Learning (MAML)

matchzoo

Facilitating the design, comparison and sharing of deep text matching models.

mem_absa

Aspect Based Sentiment Analysis using End-to-End Memory Networks

meta-learning-papers

Meta Learning / Learning to Learn / One Shot Learning / Few Shot Learning

meta-weight-net

NeurIPS'19: Meta-Weight-Net: Learning an Explicit Mapping For Sample Weighting (Pytorch implementation for noisy labels).

metaphor-in-context

Code for the paper "Neural Metaphor Detection in Context"

models

Models and examples built with TensorFlow

mrc-for-flat-nested-ner

Code for ACL 2020 paper `A Unified MRC Framework for Named Entity Recognition`

naive_bayes_meet_adaboost

:email: Implement Naive Bayes and Adaboost from scratch and use them to filter spam emails.

ncrfpp

NCRF++, an Open-source Neural Sequence Labeling Toolkit. It includes character LSTM/CNN, word LSTM/CNN and softmax/CRF components. (code for COLING/ACL 2018 paper)

ner-lstm-crf

An easy-to-use named entity recognition (NER) toolkit, implemented the Bi-LSTM+CRF model in tensorflow.