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Min Gui's Projects

app-dl icon app-dl

Deep Learning and applications in Startups, CV, Text Mining, NLP

deepchannel icon deepchannel

The pytorch implementation of paper "DeepChannel: Salience Estimation by Contrastive Learning for Extractive Document Summarization"

dive-into-dl-pytorch icon dive-into-dl-pytorch

本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为PyTorch实现。

easytransfer icon easytransfer

EasyTransfer is designed to make the development of transfer learning in NLP applications easier.

fast_abs_rl icon fast_abs_rl

Code for ACL 2018 paper: "Fast Abstractive Summarization with Reinforce-Selected Sentence Rewriting. Chen and Bansal"

files2rouge icon files2rouge

Calculating ROUGE score between two files (line-by-line)

gcn icon gcn

Implementation of Graph Convolutional Networks in TensorFlow

lxmert icon lxmert

PyTorch code for EMNLP 2019 paper "LXMERT: Learning Cross-Modality Encoder Representations from Transformers".

models icon models

Models and examples built with TensorFlow

neusum icon neusum

Code for the ACL 2018 paper "Neural Document Summarization by Jointly Learning to Score and Select Sentences"

opennmt-tf icon opennmt-tf

Neural machine translation and sequence learning using TensorFlow

prefuse icon prefuse

Prefuse is a set of software tools for creating rich interactive data visualizations in the Java programming language. Prefuse supports a rich set of features for data modeling, visualization, and interaction. It provides optimized data structures for tables, graphs, and trees, a host of layout and visual encoding techniques, and support for animation, dynamic queries, integrated search, and database connectivity.

pytorch-handbook icon pytorch-handbook

pytorch handbook是一本开源的书籍,目标是帮助那些希望和使用PyTorch进行深度学习开发和研究的朋友快速入门,其中包含的Pytorch教程全部通过测试保证可以成功运行

reinforcement-learning icon reinforcement-learning

Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.

rlseq2seq icon rlseq2seq

Deep Reinforcement Learning For Sequence to Sequence Models

seqgan icon seqgan

Implementation of Sequence Generative Adversarial Nets with Policy Gradient

unified-summarization icon unified-summarization

Official codes for the paper: A Unified Model for Extractive and Abstractive Summarization using Inconsistency Loss.

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