JianLiu91

bert_ner

Ner with Bert

stock-prediction

allennlp

An open-source NLP research library, built on PyTorch.

coling18tutorial

COLING 2018 Tutorial on Multilingual FrameNet: Automatic semantic role labeling for FrameNet

Company-Names-Corpus

公司名语料库。

controlled-text-generation

Reproducing Hu, et. al., ICML 2017's "Toward Controlled Generation of Text"

eventrelation

fnc-1

generative-models

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

GetOldTweets-python

A project written in Python to get old tweets, it bypass some limitations of Twitter Official API.

gt-nlp-class

Course materials for Georgia Tech CS 4650 and 7650, "Natural Language"

Introduction-to-Artificial-Intelligence-Machine-Learning

jjrent

matplotlib_for_papers

Handout for the tutorial "Creating publication-quality figures with matplotlib"

MUSE

A library for Multilingual Unsupervised or Supervised word Embeddings

NCRFpp

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

nqg

neural question generation for reading comprehension

nvdm

neural variational document model

Parser-v1

PyTorch-BayesianCNN

Bayesian Convolutional Neural Network with Variational Inference based on Bayes by Backprop in PyTorch.

RENet

Recurrent Event Network for Reasoning over Temporal Knowledge Graphs

semi-supervised-pytorch

Implementations of different VAE-based semi-supervised and generative models in PyTorch

stockbook

豆瓣经典证券书籍收录并排名

twitter-ner

Named Entity Recognition on Twitter data

twitter-scrape

Download streaming tweets that match specific keywords, and dump the results to a file.

VAEText

Pytorch implementations for Auto-Encoding Variational Bayes and Generating Sentences from a Continuous Space

var-attn

Latent Alignment and Variational Attention

vecmap

A framework to learn cross-lingual word embedding mappings

VITutorial

This repository stores slides for a tutorial on variational inference for NLP audiences.

VQ-VAE

Minimalist implementation of VQ-VAE in Pytorch