wxdwlai

wxdwlai's Stars

• tensorflow/tensor2tensor

  Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research.

  Language:Python15.6k4691.2k3.5k

• jobbole/awesome-programming-books

  经典编程书籍大全，涵盖：计算机系统与网络、系统架构、算法与数据结构、前端开发、后端开发、移动开发、数据库、测试、项目与团队、程序员职业修炼、求职面试等

  14.7k858413.5k

• jessevig/bertviz

  BertViz: Visualize Attention in NLP Models (BERT, GPT2, BART, etc.)

  Language:Python7k73123790

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

  使用Bert，ERNIE，进行中文文本分类

  Language:Python4.1k20194904

• dolotech/ebook

  学习资料

  Language:Vim script2k732736

• liucongg/GPT2-NewsTitle

  Chinese NewsTitle Generation Project by GPT2.带有超级详细注释的中文GPT2新闻标题生成项目。

  Language:Python1.1k1042182

• gophercloud/gophercloud

  Gophercloud: an OpenStack SDK for Go

  Language:Go900371.2k536

• felix1982/software-testing-interview-question

  这是一个关于软件测试面试题目的列表，收集了关于测试理论，自动化测试，性能测试以及其他一些软件测试相关的面试题目。

  782112151

• yangtong/ebooks

  687370378

• LianjiaTech/sosotest

  sosotest自动化测试平台

  Language:Python514307265

• zll17/Neural_Topic_Models

  Implementation of topic models based on neural network approaches.

  Language:Jupyter Notebook42281877

• armancohan/long-summarization

  Resources for the NAACL 2018 paper "A Discourse-Aware Attention Model for Abstractive Summarization of Long Documents"

  Language:Python360151459

• salesforce/factCC

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

  Language:Python288101531

• copoile/guide

  该项目不写任何代码，只用于收藏GitHub上知名开源仓库，便于资料的查找以及学习。advanced-java,互联网 Java 工程师进阶知识完全扫盲 miaosha,互联网java秒杀系统的设计与架构 springboot-demo聚集地 JavaGuide,一份涵盖大部分Java程序员所需要掌握的核心知识 CS-Notes,Tech Interview Guide 技术面试必备基础知识 33-js-concepts,JavaScript开发者应懂的33个概念 vue-element-admin,一个vue全家桶+element-ui的后台前端解决方案 vue-awesome-swiper,vue轮播图解决方案 Vue-Quill-Editor,基于Quill适用于Vue2的富文本编辑器 vue-baidu-map,基于vue2.x百度地图组件

  865024

• RowitZou/topic-dialog-summ

  AAAI-2021 paper: Topic-Oriented Spoken Dialogue Summarization for Customer Service with Saliency-Aware Topic Modeling.

  Language:Python772339

• artidoro/frank

  FRANK: Factuality Evaluation Benchmark

  Language:Python52394

• juzldream/testing

  :hourglass: 软件测试理论总结，Selenium学习

  Language:Python460017

• KaiQiangSong/struct_infused_summ

  (COLING'18) The source code for the paper "Structure-Infused Copy Mechanisms for Abstractive Summarization".

  Language:Perl29634

• tm4roon/pytorch-translm

  An implementation of transformer-based language model for sentence rewriting tasks such as summarization, simplification, and grammatical error correction.

  Language:Python29237

• tagoyal/dae-factuality

  Language:Python27134

• mdtux89/OpenNMT-py-AMR-to-text

  Language:Python24205

• shashwattrivedi/Attention_visualizer

  A visualizer to display attention weights on text

  Language:Python23024

• Michael-Stewart-Webdev/Seq2KG

  A neural model for knowledge graph construction from text.

  Language:Python21216

• donghyeonk/match-lstm

  PyTorch Implementation of "Learning Natural Language Inference with LSTM", 2016, S. Wang et al. (https://arxiv.org/pdf/1512.08849.pdf)

  Language:Python19465

• jinh0park/Autoencoders-tf2.0

  TensorFlow 2.0 implementations of various autoencoders.

  Language:Python16106

• TalSchuster/TokenMasker

  Masking tokens to modify the predictions of a pretrained sentence classifier

  Language:Python16313

• LibertFan/MAN

  Mask Attention Networks: Rethinking and Strengthen Transformer in NAACL2021

  Language:Python15225

• machelreid/subformer

  The code for the Subformer, from the EMNLP 2021 Findings paper: "Subformer: Exploring Weight Sharing for Parameter Efficiency in Generative Transformers", by Machel Reid, Edison Marrese-Taylor, and Yutaka Matsuo

  Language:Python14153

• Michael-Stewart-Webdev/text2kg-visualisation

  Team UWA's visualisation app developed as part of the ICDM 2019 Knowledge Graph Contest.

  Language:HTML14302

• darsh10/split_encoder_pointer_summarizer

  Language:Python12321