szxSpark's Stars
lutzroeder/netron
Visualizer for neural network, deep learning and machine learning models
jadore801120/attention-is-all-you-need-pytorch
A PyTorch implementation of the Transformer model in "Attention is All You Need".
tkipf/gcn
Implementation of Graph Convolutional Networks in TensorFlow
ymcui/Chinese-LLaMA-Alpaca-2
中文LLaMA-2 & Alpaca-2大模型二期项目 + 64K超长上下文模型 (Chinese LLaMA-2 & Alpaca-2 LLMs with 64K long context models)
bytedance/sonic
A blazingly fast JSON serializing & deserializing library
Lyken17/pytorch-OpCounter
Count the MACs / FLOPs of your PyTorch model.
bytedance/byteps
A high performance and generic framework for distributed DNN training
google-research/electra
ELECTRA: Pre-training Text Encoders as Discriminators Rather Than Generators
DA-southampton/Tech_Aarticle
主要是我是日常看过的不错的文章的资源汇总,方便自己也分享给大家。有些我看过的,就会做简单的解读,没看过的,就先罗列一下,然后之后看了把解读更新上;涉及到搜索/推荐/自然语言处理。
BDBC-KG-NLP/QA-Survey-CN
北京航空航天大学大数据高精尖中心自然语言处理研究团队开展了智能问答的研究与应用总结。包括基于知识图谱的问答(KBQA),基于文本的问答系统(TextQA),基于表格的问答系统(TableQA)、基于视觉的问答系统(VisualQA)和机器阅读理解(MRC)等,每类任务分别对学术界和工业界进行了相关总结。
PaddlePaddle/Research
novel deep learning research works with PaddlePaddle
atulkum/pointer_summarizer
pytorch implementation of "Get To The Point: Summarization with Pointer-Generator Networks"
ChenRocks/UNITER
Research code for ECCV 2020 paper "UNITER: UNiversal Image-TExt Representation Learning"
facebookresearch/generative-recommenders
Repository hosting code used to reproduce results in "Actions Speak Louder than Words: Trillion-Parameter Sequential Transducers for Generative Recommendations" (https://arxiv.org/abs/2402.17152).
SamuraiT/mecab-python3
:snake: mecab-python. you can find original version here:http://taku910.github.io/mecab/
lemonhu/open-entity-relation-extraction
Knowledge triples extraction and knowledge base construction based on dependency syntax for open domain text.
lancopku/Global-Encoding
Global Encoding for Abstractive Summarization (ACL 2018)
liuhuanyong/TopicCluster
A simple documentary topic analysis implement based on traditional K-means and LDA which can achieve a not-bad result. 基于Kmeans与Lda模型的多文档主题聚类,输入多篇文档,输出每个主题的关键词与相应文本,可用于主题发现与热点分析等应用,如历时话题建模,评论画像等。
mrbulb/ONEPIECE-KG
a knowledge graph project for ONEPIECE /《海贼王》知识图谱
guillaumegenthial/tf_metrics
Multi-class metrics for Tensorflow
ymcui/LERT
LERT: A Linguistically-motivated Pre-trained Language Model(语言学信息增强的预训练模型LERT)
china-ai-law-challenge/CAIL2020
alesee/abstractive-text-summarization
PyTorch implementation/experiments on Abstractive Text Summarization using Sequence-to-sequence RNNs and Beyond paper.
HsuWanTing/unified-summarization
Official codes for the paper: A Unified Model for Extractive and Abstractive Summarization using Inconsistency Loss.
ZhuiyiTechnology/AutoIE
This is the repository for NLPCC2020 task AutoIE
hongwang600/Summarization
magic282/SEASS
Code for the ACL 2017 paper "Selective Encoding for Abstractive Sentence Summarization"
liuhuanyong/IdealWordCloudKit
IdealWordCloudKit, A toolbox or kit for image-shape adjusted word cloud based on plain text, local file or web articles, 面向本地文件, 在线网页, 程序输入的字符云自动生成组件,支持用户自定义图片字符形状, 生成给定网页,文本的高频词和关键词词云.
bojone/pytorch_bert_to_tf
pytorch版bert权重转tf
playma/LCSTS2.0-clean