byzn123456

byzn123456's Stars

• tonydeng/sdn-handbook

  SDN手册

  Language:Shell1.2k261

• amazon-science/fact-check-summarization

  Language:Python7715

• binary-husky/gpt_academic

  为GPT/GLM等LLM大语言模型提供实用化交互接口，特别优化论文阅读/润色/写作体验，模块化设计，支持自定义快捷按钮&函数插件，支持Python和C++等项目剖析&自译解功能，PDF/LaTex论文翻译&总结功能，支持并行问询多种LLM模型，支持chatglm3等本地模型。接入通义千问, deepseekcoder, 讯飞星火, 文心一言, llama2, rwkv, claude2, moss等。

  Language:Python66.6k8.2k

• fastnlp/fastSum

  Language:Perl524

• nlpyang/PreSumm

  code for EMNLP 2019 paper Text Summarization with Pretrained Encoders

  Language:Python1.3k464

• fastnlp/fastNLP

  fastNLP: A Modularized and Extensible NLP Framework. Currently still in incubation.

  Language:Python3.1k449

• ShuyangCao/cliff_summ

  Code for EMNLP 2021 paper "CLIFF: Contrastive Learning for Improving Faithfulness and Factuality in Abstractive Summarization"

  Language:Python458

• tagoyal/factuality-datasets

  Language:Python454

• liupan1890/aliyunpan

  阿里云盘小白羊版 阿里云盘PC版 aliyundriver

  Language:TypeScript12.2k1.1k

• mamba-org/mamba

  The Fast Cross-Platform Package Manager

  Language:C++7k368

• dchenhe/factCC

  a easy way to directly get the factcc score of your generated summary

  Language:Python51

• googleapis/google-api-python-client

  🐍 The official Python client library for Google's discovery based APIs.

  Language:Python7.9k2.4k

• salesforce/factCC

  Resources for the "Evaluating the Factual Consistency of Abstractive Text Summarization" paper

  Language:Python28931

• ThomasScialom/QuestEval

  Language:Python9227

• huggingface/neuralcoref

  ✨Fast Coreference Resolution in spaCy with Neural Networks

  Language:C2.9k477

• yixinL7/BRIO

  ACL 2022: BRIO: Bringing Order to Abstractive Summarization

  Language:Python33442

• meetdavidwan/factpegasus

  PyTorch code for "FactPEGASUS: Factuality-Aware Pre-training and Fine-tuning for Abstractive Summarization" (NAACL 2022)

  Language:Python381

• mcao516/Factual-Error-Correction

  Language:Python242

• dmlc/dgl

  Python package built to ease deep learning on graph, on top of existing DL frameworks.

  Language:Python13.6k3k

• abisee/cnn-dailymail

  Code to obtain the CNN / Daily Mail dataset (non-anonymized) for summarization

  Language:Python637306

• JafferWilson/Process-Data-of-CNN-DailyMail

  This repository holds the output of the repository: https://github.com/abisee/cnn-dailymail

  36830

• Babelscape/rebel

  REBEL is a seq2seq model that simplifies Relation Extraction (EMNLP 2021).

  Language:Python50573

• chartbeat-labs/textacy

  NLP, before and after spaCy

  Language:Python2.2k249

• rexrex9/gnn

  gnn还附带一个kgcn

  Language:Python10727

• diogo-p-nunes/tds

  TDS post's code

  Language:Jupyter Notebook3

• xcfcode/Summarization-Papers

  Summarization Papers

  Language:TeX989145

• microsoft/GraphFormers

  Language:Python11421

• TingsongYu/PyTorch_Tutorial

  《Pytorch模型训练实用教程》中配套代码

  Language:Python7.6k1.7k

• renatoviolin/xlnet

  XLNet: fine tuning on RTX 2080 GPU - 8 GB

  Language:Python15418

• tqdm/tqdm

  :zap: A Fast, Extensible Progress Bar for Python and CLI

  Language:Python29k1.4k