Quincy1994

Quincy1994's Stars

• AntixK/PyTorch-VAE

  A Collection of Variational Autoencoders (VAE) in PyTorch.

  Language:Python6.8k43881.1k

• 649453932/Bert-Chinese-Text-Classification-Pytorch

  使用Bert，ERNIE，进行中文文本分类

  Language:Python4.1k20194904

• explosion/spacy-models

  💫 Models for the spaCy Natural Language Processing (NLP) library

  Language:Python1.7k470299

• thunlp/DocRED

  Dataset and codes for ACL 2019 DocRED: A Large-Scale Document-Level Relation Extraction Dataset.

  Language:Python6221880112

• LiJunnan1992/DivideMix

  Code for paper: DivideMix: Learning with Noisy Labels as Semi-supervised Learning

  Language:Python54795386

• hiDaDeng/cnsenti

  中文情感分析库(Chinese Sentiment))可对文本进行情绪分析、正负情感分析。Chinese sentiment analysis library, which supports counting the number of different emotional words in the text

  Language:Python5315683

• snakeztc/NeuralDialog-CVAE

  Tensorflow Implementation of Knowledge-Guided CVAE for dialog generation ACL 2017. It is released by Tiancheng Zhao (Tony) from Dialog Research Center, LTI, CMU

  Language:OpenEdge ABL309131785

• Lin-Yijie/Graph-Matching-Networks

  PyTorch implementation of Graph Matching Networks, e.g., Graph Matching with Bi-level Noisy Correspondence (COMMON, ICCV 2023), Graph Matching Networks for Learning the Similarity of Graph Structured Objects (GMN, ICML 2019).

  Language:Python29331158

• outcastofmusic/quick-nlp

  Pytorch NLP library based on FastAI

  Language:Python28317148

• wzhouad/ATLOP

  Source code for paper "Document-Level Relation Extraction with Adaptive Thresholding and Localized Context Pooling", AAAI 2021

  Language:Python19933139

• HanxunH/SCELoss-Reproduce

  Reproduce Results for ICCV2019 "Symmetric Cross Entropy for Robust Learning with Noisy Labels" https://arxiv.org/abs/1908.06112

  Language:Python1855816

• DreamInvoker/GAIN

  Source code for EMNLP 2020 paper: Double Graph Based Reasoning for Document-level Relation Extraction

  Language:Python14364032

• nlpdata/dialogre

  Dialogue-Based Relation Extraction

  Language:Python13410031

• mayank93/Twitter-Sentiment-Analysis

  Sentiment Analysis on Twitter

  Language:Python13219689

• guxd/DialogWAE

  Source Code for DialogWAE: Multimodal Response Generation with Conditional Wasserstein Autoencoder (https://arxiv.org/abs/1805.12352)

  Language:OpenEdge ABL12571124

• galsang/BIMPM-pytorch

  Re-implementation of BIMPM (Bilateral Multi-Perspective Matching for Natural Language Sentences, Zhiguo Wang et al.) on Pytorch.

  Language:Python10641331

• thunlp/RE-Context-or-Names

  Bert-based models(BERT, MTB, CP) for relation extraction.

  Language:Python100102321

• hanzhichao2000/pysentiment

  A library for sentiment analysis in dictionary framework.

  Language:Python9261259

• BenfengXu/SSAN

  Implementation for our AAAI2021 paper (Entity Structure Within and Throughout: Modeling Mention Dependencies for Document-Level Relation Extraction).

  Language:Python8133018

• DFKI-NLP/tacrev

  [ACL 20] TACRED Revisited: A Thorough Evaluation of the TACRED Relation Extraction Task

  Language:Jupyter Notebook71548

• declare-lab/dialog-HGAT

  Dialogue Relation Extraction with Document-level Heterogeneous Graph Attention Networks

  Language:Python568313

• nju-websoft/GLRE

  Global-to-Local Neural Networks for Document-Level Relation Extraction, EMNLP 2020

  Language:Python534715

• xwjim/DocRE-Rec

  This repository is the PyTorch implementation of our DocRE model with reconstruction in AAAI 2021 Paper "Document-Level Relation Extraction with Reconstruction".

  Language:Python491513

• MichSchli/GraphMask

  Official implementation of GraphMask as presented in our paper Interpreting Graph Neural Networks for NLP With Differentiable Edge Masking.

  Language:Python424310

• XueFuzhao/GDPNet

  Language:Python383413

• wxzcyy/NMT

  基于seq2seq的机器翻译模型

  Language:JavaScript13203

• ChristophAlt/fewrel

  Few-Shot Relation Extraction with AllenNLP

  Language:Python12501

• lijuntaopku/UFD

  Code for Unsupervised Domain Adaptation of a Pretrained Cross-Lingual Language Model, IJCAI 2020

  Language:Python11211

• damo894127201/TextSummarization

  TextSummarization Baseline

  Language:Python6220

• timchen0618/LaPat

  Code for the paper: "Predict and Use Latent Patterns for Short-Text Conversation"

  Language:Python2212