Yanh12's starred repositories
docker_practice
Learn and understand Docker&Container technologies, with real DevOps practice!
German-NLP
Curated list of open-access/open-source/off-the-shelf resources and tools developed with a particular focus on German
TextAttack
TextAttack 🐙 is a Python framework for adversarial attacks, data augmentation, and model training in NLP https://textattack.readthedocs.io/en/master/
german-sentiment
A data set and model for german sentiment classification.
Deep-Learning-with-TensorFlow-book
深度学习入门开源书,基于TensorFlow 2.0案例实战。Open source Deep Learning book, based on TensorFlow 2.0 framework.
NLP_Project_Abstractive_Summarization
Used Python “keras” package to develop a unidirectional LSTM based deep learning model “encoder-decoder networks” for title generation on news data set. Improved the architecture by using attention. Created tensorboard visualizations to show the validation accuracy and loss. Evaluated the summaries using the ROUGE score.
transformer-abstractive-summarization
Code for the paper "Efficient Adaption of Pretrained Transformers for Abstractive Summarization"
attention_keras
Keras Layer implementation of Attention for Sequential models
Deep-Reinforced-Abstractive-Summarization
Pytorch implementation of "A Deep Reinforced Model for Abstractive Summarization"(https://arxiv.org/abs/1705.04304)
abstractive-text-summarization
PyTorch implementation/experiments on Abstractive Text Summarization using Sequence-to-sequence RNNs and Beyond paper.
practical-pytorch
Go to https://github.com/pytorch/tutorials - this repo is deprecated and no longer maintained
seq2seq-summarizer
Pointer-generator reinforced seq2seq summarization in PyTorch
Text-Summarizer-Pytorch
Pytorch implementation of "A Deep Reinforced Model for Abstractive Summarization" paper and pointer generator network
Abstractive-Summarization-With-Transfer-Learning
Abstractive summarisation using Bert as encoder and Transformer Decoder
text-summarization
Extractive vs. Abstractive Text Summarization Methods
tensor2tensor
Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research.
Text-Summarization-of-Movie-Reviews
This repo contains the NLP Project i completed at IIT Chicago. It is an extractive based Text summarization technique that is similar to LexRank and TextRank , but also uses word embeddings to measure similarity between sentences
arxiv-public-datasets
A set of scripts to grab public datasets from resources related to arXiv
pointer-generator
Code for the ACL 2017 paper "Get To The Point: Summarization with Pointer-Generator Networks"
summarization_embeddings
Code for improving the CL 2017 paper "Get To The Point: Summarization with Pointer-Generator Networks." Different forms of word embeddings are integrated into the text summarization model.
keras-text-summarization
Text summarization using seq2seq in Keras
harry_potter_nlp
Harry Potter and the Allocation of Dirichlet
fast_abs_rl
Code for ACL 2018 paper: "Fast Abstractive Summarization with Reinforce-Selected Sentence Rewriting. Chen and Bansal"