MQRSHIYAN's repositories
AutomaticWeightedLoss
Multi-task learning using uncertainty to weigh losses for scene geometry and semantics, Auxiliary Tasks in Multi-task Learning
Conference-Acceptance-Rate
Statistics of acceptance rate for the main AI conference
awesome-chinese-nlp-1
本项目整合了常用中文nlp资源,包括:工具、数据、学习资源和常用模型。
awesome-knowledge-distillation
Awesome Knowledge Distillation
bert4keras
keras implement of transformers for humans
blog
Public repo for HF blog posts
cleverhans
An adversarial example library for constructing attacks, building defenses, and benchmarking both
eventkg
The EventKG is a novel multilingual resource incorporating event-centric information extracted from several large-scale knowledge graphs such as Wikidata, DBpedia and YAGO, as well as less structured sources such as the Wikipedia Current Events Portal and Wikipedia event lists in five languages. The EventKG is an extensible event-centric resource modeled in RDF. It relies on Open Data and best practices to make event data spread across different sources available through a common representation and reusable for a variety of novel algorithms and real-world applications.
GPT2-Chinese
Chinese version of GPT2 training code, using BERT tokenizer.
GraphWriter
Code for "Text Generation from Knowledge Graphs with Graph Transformers"
HeterSumGraph
Code for ACL2020 paper "Heterogeneous Graph Neural Networks for Extractive Document Summarization"
nlp-data-augmentation
Data Augmentation for NLP. NLP数据增强
OpenNMT-kpg-release
Keyphrase Generation
pointer_summarizer
pytorch implementation of "Get To The Point: Summarization with Pointer-Generator Networks"
RE-Net
Recurrent Event Network: Global Structure Inference over Temporal Knowledge Graph (ICLR-RLGM 2019)
spaCy
💫 Industrial-strength Natural Language Processing (NLP) in Python
stanza
Official Stanford NLP Python Library for Many Human Languages
Summarization-Papers
Summarization Papers
tilse
Timeline summarization and evaluation.
transformers
🤗 Transformers: State-of-the-art Natural Language Processing for TensorFlow 2.0 and PyTorch.
UER-py
Open Source Pre-training Model Framework in PyTorch & Pre-trained Model Zoo
What-I-Have-Read
Papers and Slides, Focus on NLP.
XSum
Topic-Aware Convolutional Neural Networks for Extreme Summarization